Abstract
Aims
The aim of this systematic review and meta-analysis was to gather epidemiological information on selected musculoskeletal injuries and to provide pooled injury-specific incidence rates.
Methods
PubMed (National Library of Medicine) and Scopus (Elsevier) databases were searched. Articles were eligible for inclusion if they reported incidence rate (or count with population at risk), contained data on adult population, and were written in English language. The number of cases and population at risk were collected, and the pooled incidence rates (per 100,000 person-years) with 95% confidence intervals (CIs) were calculated by using either a fixed or random effects model.
Results
The screening of titles yielded 206 articles eligible for inclusion in the study. Of these, 173 (84%) articles provided sufficient information to be included in the pooled incidence rates. Incidences of fractures were investigated in 154 studies, and the most common fractures in the whole adult population based on the pooled incidence rates were distal radius fractures (212.0, 95% CI 178.1 to 252.4 per 100,000 person-years), finger fractures (117.1, 95% CI 105.3 to 130.2 per 100,000 person-years), and hip fractures (112.9, 95% CI 82.2 to 154.9 per 100,000 person-years). The most common sprains and dislocations were ankle sprains (429.4, 95% CI 243.0 to 759.0 per 100,000 person-years) and first-time patellar dislocations (32.8, 95% CI 21.6 to 49.7 per 100,000 person-years). The most common injuries were anterior cruciate ligament (17.5, 95% CI 6.0 to 50.2 per 100,000 person-years) and Achilles (13.7, 95% CI 9.6 to 19.5 per 100,000 person-years) ruptures.
Conclusion
The presented pooled incidence estimates serve as important references in assessing the global economic and social burden of musculoskeletal injuries.
Cite this article: Bone Joint Res 2022;11(11):814–825.
Article focus
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Musculoskeletal injuries cause a major societal burden in the form of increased costs due to treatment, disability, sick leave, and impaired quality of life worldwide.
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We gathered the incidence rates of common musculoskeletal injuries in the adult population.
Key messages
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The presented pooled incidence estimates serve as important references in assessing the global economic and social burden of musculoskeletal injuries.
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More epidemiological studies from developing countries are needed.
Strengths and limitations
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The main limitation was the heterogeneity of the included studies, which may predispose the pooled incidence estimates to bias of at least some extent.
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The main strength of this study was its comprehensive search protocol involving the largest medical research databases. The search was conducted separately for each injury type, and the screening was conducted by two blinded authors.
Introduction
Musculoskeletal injuries cause a major societal burden in the form of increased costs due to treatment, disability, sick leave, and impaired quality of life worldwide.1-3 Although the burden of non-fatal musculoskeletal injuries is enormous, the amount of funding and efforts for injury prevention and surgical care has been minimal when compared to other major worldwide health issues, such as AIDS and other infectious diseases.2 Prevention should be the priority when pursuing the reduction of the burden caused by musculoskeletal injuries. In addition to prevention, the optimization of the management, from first aid to rehabilitation, should be well considered to reduce excess costs.4 However, since the effectiveness of preventive acts treatment optimization is difficult to measure, the benefits of prevention in relation to injury-related societal costs are often underestimated. Therefore, it is essential to understand the commonness of the injuries to better realize the magnitude of the resulting economic burden, and efficiently allocate funds toward effective prevention and optimized treatment of musculoskeletal injuries.1
The aim of this systematic review was to gather epidemiological studies of selected musculoskeletal injuries and to provide pooled injury-specific incidence rates.
Methods
Information sources and search strategy
PubMed (National Library of Medicine) and Scopus (Elsevier) databases were searched from inception to the date of the search. All topics were searched individually between 8 June 2021 and 19 June 2022. The selected topics (injuries, sprains, or dislocations in Supplementary Table i) were the ones that were the most common musculoskeletal injuries based on previous studies.5,6 Search strategies for all topics in both databases are provided in Supplementary Table i. As a supplementary search, we included papers from other topics that included multiple anatomical areas. The PubMed search was limited to title based on the search algorithm, whereas the Scopus search was conducted by using a filter for the title search to narrow the scope of the search more strictly to relevant epidemiological studies. The review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist.
Eligibility criteria and selection process
Records from the database search were imported to a free online systematic review platform (Rayyan)7 and duplicates were removed. A study was eligible for our analysis if the following inclusion criteria were fulfilled: 1) the incidence was reported as cases per person-years/inhabitants (or count with population at risk); 2) the data contained the adult population (18 years or older); and 3) the article was in English language. A study was excluded if one or more of the following criteria was met: 1) included only paediatric patients; or 2) was limited to certain populations (such as athletes, osteoporotic fractures, low-energy trauma mechanisms, or different age groups). Furthermore, if the study included a cohort that had been used in other studies, we included the publication with the most recent incidence rate. Publication year was not otherwise restricted, but since the incidence of hip fractures has been increasing rapidly and recent studies investigating the incidence of hip fracture were numerous, only studies published after the year 2015 were included to ensure that the most recent incidence would be presented.
All records were screened, and abstracts of resulting articles were assessed by two authors (VP and IK, VP and MU, or IK and MU). In case of a conflict, consensus was achieved by the two authors together. Records meeting the inclusion criteria were selected for eligibility assessment. Humeral and femoral fractures were searched as a whole group, and after the full-text read they were divided into proximal, shaft (diaphyseal), and distal fractures. Foot fractures were grouped as calcaneus, foot (including all foot injuries from calcaneus to metatarsals), metatarsal, and Lisfranc fractures (including fractures affecting the tarsometatarsal joint). Carpal fractures included all carpal bones, including scaphoid fractures, which were also reported separately. Pelvic fractures were grouped as acetabulum and pelvic fractures (including the whole pelvis). All anatomical areas were searched separately, and thus we report separate flowcharts for all injuries (Supplementary Figure a).
Data extraction
Data were extracted and recorded by three authors (VP, IK, MU). The extracted data included the study title, author names, publication year, and the journal. We collected the last year of the study period, incidence rate, count, population at risk, and duration for the calculated incidence in years. If the count was not reported, we included the population at risk and calculated the count by multiplying the incidence (per 100,000) with population and dividing the result by 100,000 to achieve the count. If the total incidence of both sexes was not reported, we calculated it by summarizing the count and population at risk of men and women and divided the total count by the total population and multiplied the result by 100,000. If each of these numbers were missing, we calculated them from the incidence for each sex. If two of the following three values were missing: incidence, count, or population at risk, or if the incidence was reported as age- or sex-weighted, we contacted the authors by mail to obtain the missing data. Overall, the authors of three of the studies were contacted, although none of them could share their data. For studies that reported the incidence based on certain age groups, the values were excluded from the pooled incidence rate but reported separately in the results. As there were multiple studies reporting the incidence of hip fractures in age groups, we also reported pooled incidences of hip fractures by age group.
Injury definitions of every included article were evaluated, and when it was not otherwise mentioned, then the injuries were defined as all fractures or ruptures of the corresponding anatomical area. As the studies investigating the incidence of sacrum, antebrachium, olecranon, and rotator cuff injuries had greatly varying definitions for the injuries, these injuries were excluded from this review to decrease the risk of bias (RoB). The complete data can be requested from the corresponding author.
RoB assessment was conducted by using the Checklist for Prevalence Studies by The Joanna Briggs Institute,8,9 RoB assessment was conducted by two blinded authors (MV, RL), and conflicts were resolved by a third author (VP). The complete RoB assessment template can be requested from the corresponding author.
Effect measures
The primary pooled outcome measure was annual incidence (cases per 100,000 person-years) for each studied injury category. This was either extracted from the data or calculated based on the count and population at risk, as described above.
Data synthesis and analysis
We pooled the total incidences of each musculoskeletal injury individually for each anatomical area. The count and population at risk were divided by the duration that they represented. For example, if the data were gathered from multiple years, the count and population at risk for the whole study period was divided by the duration of the study period in years to estimate the annual rate. If the count and population at risk were presented for one year, the figures were divided by one. If only age-weighted incidence or only a certain age group was presented, we did not include the values in the pooled incidence rates but presented them separately. As most of the hip fractures are treated operatively, we included both injury and surgery incidences together in the pooled incidence rates. The pooled incidences with the 95% confidence intervals (CIs) were calculated by either fixed or random effects model. A fixed effects model was used if heterogeneity was low (I2 < 25%). Otherwise, a random effects model was used. A meta-regression model adjusted by the last year of data included in each study was used to evaluate the change of incidence rates per year. Meta-regression model was interpreted as regression coefficient β (beta) with 95% CIs, which represents the change of incidence per each added year. To mitigate the bias caused by a small sample, we excluded injuries including less than four studies in total and the injuries where the difference between the first and last year of included publications was less than five years. The results of meta-regression analysis are presented in Supplementary Table ii.
All analyses were performed using R version 4.0.3 (R Foundation for Statistical Computing, Austria), and the pooled incidences were calculated using the function “metarate” and “metareg” from the “meta” package.
Results
Title screening yielded a total of 206 articles. Of these, 173 (84%) articles provided sufficient information for inclusion in the pooled incidence rates. Most of the studies were conducted in Europe (n = 140, 68%) (Table I). The median publication year was 2015 (interquartile range (IQR) 2006 to 2017), and the median ending year of the data was 2009 (IQR 2000 to 2013).
Table I.
Continent | N | % |
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Europe | 140 | 68.0 |
North America | 34 | 16.5 |
Asia | 23 | 11.2 |
Oceania | 5 | 2.4 |
South America | 3 | 1.5 |
Africa | 1 | 0.5 |
Fractures
Incidence of fractures was investigated in 160 studies. The most common fractures based on the pooled incidence rates were distal radius fractures (212.0, 95% CI 178.1 to 252.4), finger fractures (117.1, 95% CI 105.3 to 130.2), and hip fractures (112.9, 95% CI 82.2 to 154.9) (Figure 1, Table II).
Fig. 1
Table II.
Fracture | Number of articles | Incidence* | |||
---|---|---|---|---|---|
Total | Pooled | Rate | 95% CI | I2† | |
Distal radius fractures | 12 | 12 | 212.0 | 178.1 to 252.4 | 98.7 |
Finger fractures | 2 | 2 | 117.1 | 105.3 to 130.2 | 92.5 |
Hip fractures | 28 | 10 | 112.9 | 82.2 to 154.9 | 100.0 |
Humerus fractures (overall) | 1 | 1 | 97.7 | 93.9 to 101.7 | N/A |
Ankle fractures | 9 | 9 | 94.0 | 65.3 to 135.3 | 99.9 |
Foot fractures | 3 | 3 | 91.2 | 50.9 to 163.2 | 99.1 |
Metatarsal fractures | 2 | 2 | 71.2 | 65.6 to 77.3 | 62.0 |
Proximal humerus fractures | 10 | 7 | 55.6 | 38.3 to 80.6 | 99.9 |
Toe fractures | 1 | 1 | 55.5 | 49.5 to 62.2 | N/A |
Metacarpal fracture | 3 | 3 | 52.9 | 17.5 to 160 | 100 |
Clavicle fractures | 8 | 8 | 50.3 | 25.9 to 97.8 | 100.0 |
Carpal fracture | 3 | 3 | 34.7 | 34.5 to 34.9 | 51.1 |
Pelvic fractures | 12 | 10 | 33.0 | 24.8 to 43.9 | 99.9 |
Scaphoid fractures | 9 | 9 | 23.0 | 9.7 to 54.4 | 100.0 |
Proximal tibia fractures | 2 | 2 | 22.5 | 11.0 to 46.0 | 98.6 |
Tibial shaft fractures | 6 | 6 | 20.8 | 14.4 to 29.8 | 98.6 |
Cervical spine fractures | 1 | 1 | 15.0 | 14.0 to 16.1 | N/A |
Humeral shaft fractures | 4 | 4 | 14.9 | 13.0 to 17.0 | 88.7 |
Patellar fractures | 5 | 5 | 13.4 | 10.4 to 17.3 | 97.5 |
Femoral shaft fractures | 9 | 9 | 12.2 | 10.1 to 14.8 | 94.0 |
Lisfranc injuries | 2 | 2 | 11.4 | 8.5 to 15.4 | 84.7 |
Calcaneus fractures | 5 | 5 | 10.0 | 7.9 to 12.6 | 93.8 |
Distal femur fractures | 6 | 5 | 8.4 | 6.0 to 11.8 | 85.2 |
Spine fractures | 3 | 1 | 7.5 | 5.5 to 10.2 | N/A |
Distal humerus fractures | 4 | 3 | 7.4 | 6.2 to 8.7 | 24.5 |
Scapula fractures | 4 | 4 | 7.4 | 4.8 to 11.2 | 85.3 |
Acetabulum fractures | 6 | 6 | 5.7 | 3.3 to 9.7 | 98.9 |
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*
Pooled incidence was calculated from count and population at risk of the included studies by using random effects model. If heterogeneity was low (I2 < 25%), fixed effects model was used.
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†
Heterogeneity (I2) was not calculated if only one study was included.
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CI, confidence interval; N/A, not available.
Acetabulum fractures were investigated in six studies.10-15 The studies were published between 2005 and 2019 and reported data ending in the years between 2003 and 2016. All these studies were included in the pooled incidence of 5.6 (95% CI 3.3 to 9.7) per 100,000 person-years.
Ankle fractures were investigated in nine studies.5,16-23 The studies were published between 1987 and 2020 and contained data ending in the years between 1981 and 2016. All these studies were included in the pooled incidence of 94.0 (95% CI 65.3 to 135.3) per 100,000 person-years.
Calcaneus fractures were investigated in five studies.5,24-27 The studies were published between 1987 and 2020, reporting data ending in the years between 1981 and 2016. All five studies were included in the pooled incidence of 10.0 (95% CI 7.9 to 12.6) per 100,000 person-years.
Carpal fractures were investigated in three studies.5,28,29 The studies were published between 2006 and 2015 and contained data ending in the years between 2000 and 2009. All these studies were included in the pooled incidence of 34.7 (95% CI 34.5 to 34.9) per 100,000 person-years.
Clavicle fractures were investigated in eight studies.5,23,28,30-34 The studies were published between 1994 and 2019 and contained data ending in the years between 1987 and 2015. All these studies were included in the pooled incidence of 50.3 (95% CI 25.9 to 97.8) per 100,000 person-years.
Distal radius fractures were investigated in 12 studies.5,35-45 The studies were published between 1985 and 2020 and contained data ending in the years between 1981 and 2016. All these studies were included in the pooled incidence of 212.0 (95% CI 178.1 to 252.4) per 100,000 person-years.
Femoral shaft fractures were investigated in nine studies.5,11,46-52 The studies were published between 1988 and 2014, reporting data ending in the years between 1983 and 2011. All these studies were included in the pooled incidence of 12.2 (95% CI 10.1 to 14.8) per 100,000 person-years.
Distal femur fractures were investigated in six studies.5,11,46,53-55 The studies were published between 1988 and 2021 and reported data ending in the years between 1984 and 2017. Altogether, five of these studies were included in the pooled incidence of 8.4 (95% CI 6.0 to 11.8) per 100,000 person-years. One of the studies reported the incidences in age groups, resulting in an incidence of 12.9 (95% CI 12.6 to 13.2) per 100,000 for the population over 65 years of age.54
Finger fractures were investigated in two studies published in 2006 and 2015,5,28 and containing data ending in the years between 2000 and 2009. Both studies were included in the pooled incidence of 124.9 (95% CI 124.2 to 125.6) per 100,000 person-years.
Foot fractures (including whole foot) were investigated in three studies.23,56,57 The studies were published between 2016 and 2021 and contained data ending in the years between 2010 and 2015. All three studies were included in the pooled incidence of 91.2 (95% CI 50.9 to 163.2) per 100,000 person-years.
Hip (proximal femur) fractures were investigated in 28 studies.58-85 The studies were published between 2015 and 2021 and reported data ending in the years between 2010 and 2019. Altogether, ten of these studies were included in the pooled incidence of 112.9 (95% CI 82.2 to 154.9) per 100,000 person-years. Overall, 16 of the remaining studies reported the incidences in age groups (Table III). Two of the studies reported only age- or sex-adjusted incidences and thus were not included in the pooled rates.70,79
Table III.
Age group, yrs | Number of included studies | Incidence* | ||
---|---|---|---|---|
Rate | 95% CI | I2† | ||
Overall | 10 | 112.9 | 82.2 to 154.9 | 100.0 |
Over 40 | 1 | 68.5 | 66.0 to 71.1 | N/A |
Over 45 | 1 | 205.9 | 201.8 to 210.1 | N/A |
Over 50 | 10 | 194.5 | 159.8 to 236.9 | 99.9 |
Over 55 | 1 | 136.7 | 135.6 to 137.7 | N/A |
Over 65 | 3 | 126.5 | 35.7 to 448.5 | 100.0 |
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*
Pooled incidence was calculated from count and population at risk of the included studies by using random effects model. If heterogeneity was low (I2 < 25%), fixed effects model was used.
-
†
Heterogeneity (I2) was not calculated if only one study was included.
-
CI, confidence interval; N/A, not available.
A total of 15 studies investigated the incidence of humerus fractures. Of these, ten investigated proximal fractures, four studied distal fractures, four reported shaft fractures, and one investigated humerus fractures overall. The incidence of overall humeral fractures was 97.7 (95% CI 93.9 to 101.7), based on the data of one study.23
Proximal humerus fractures were investigated in ten studies.28,86-94 The studies were published between 1987 and 2016 and containing data ending in the years between 1983 and 2013. Altogether, seven of these studies were included in the pooled incidence of 55.6 (95% CI 38.3 to 80.6) per 100,000 person-years. The remaining three studies reported the incidences in age groups, resulting in an incidence of 156.3 (95% CI 74.4 to 328.2) per 100,000 for populations over 50 years of age (two studies)88,93 and an incidence of 105.0 (95% CI 75.0 to 147.0) per 100,000 for populations over 60 years of age (one study).87
Humeral shaft fractures were investigated in four studies published between 2006 and 2016, and containing data ending in the years between 1999 and 2013.5,28,86,95 All four studies were included in the pooled incidence of 14.9 (95% CI 13.0 to 17.0) per 100,000 person-years.
Distal humerus fractures were investigated in four studies.5,28,86,96 The studies were published in 2006 and 2016 and reported data ending in the years between 2000 and 2013. Three of the studies excluded patients younger than 12 years and were included in the pooled incidence of 11.3 (95% CI 5.1 to 24.9) per 100,000 person-years. One study did not restrict the age of the patients and thus reported a higher incidence of 43.2 (95% CI 42.8 to 43.6) per 100,000 person-years.28
Lisfranc injuries (fractures to the tarsometatarsal joint) were investigated in two studies published in 2020 and 2021,97,98 and reporting data ending between 2015 and 2016. Both studies were included in the pooled incidence of 11.4 (95% CI 8.5 to 15.4) per 100,000 person-years.
Metacarpal fractures were investigated in three studies.5,28,99 The studies were published between 2006 and 2015 and contained data ending in the years between 2000 and 2009. All these studies were included in the pooled incidence of 52.9 (95% CI 17.5 to 160.0) per 100,000 person-years.
Metatarsal fractures were investigated in two studies, both published in 2006 and containing data ending in the year 2000.5,98 Both studies were included in the pooled incidence of 71.2 (95% CI 65.6 to 77.3) per 100,000 person-years.
Patellar fractures were investigated in five studies.5,23,53,100,101 The studies were published between 2006 and 2020 and contained data ending in the years between 2000 and 2017. All five studies were included in the pooled incidence of 13.4 (95% CI 10.4 to 17.3) per 100,000 person-years.
Pelvic fractures were investigated in 12 studies.5,12,15,23,102-109 The studies were published between 1981 and 2021 and contained data ending between 1977 and 2016. Ten of the studies were included in the pooled incidence of 33.0 (95% CI 24.8 to 43.9) per 100,000 person-years. Two of the remaining studies reported the incidences in age groups, resulting in an incidence of 264.0 (95% CI 252.9 to 275.5) per 100,000 for populations over 60 years of age,102 and an incidence of 57.8 (95% CI 54.9 to 60.8) per 100,000 for populations over 65 years of age (one study).109
Scaphoid fractures were investigated in nine studies.28,29,110-116 The studies were published between 1992 and 2021 and contained data ending in the years between 1989 and 2016. All nine studies were included in the pooled incidence of 23.0 (95% CI 9.7 to 54.4) per 100,000 person-years.
Scapula fractures were investigated in four studies published between 1995 and 2016 and containing data ending in the years between 1995 and 2012.5,23,28,117 All these studies were included in the pooled incidence of 7.4 (95% CI 4.8 to 11.2) per 100,000 person-years.
Spine fractures were investigated in four studies.5,11,118,119 The studies were published between 2006 and 2015 and contained data ending in the years between 2000 and 2017. One study evaluated the incidence of spine fractures overall, resulting in an incidence of 7.5 (95% CI 5.5 to 10.2).5 Two of the studies investigated only hospitalized patients, resulting in a pooled incidence of 49.5 (95% CI 21.6 to 113.9) per 100,000 person-years.11,118 One study investigated the incidence of cervical spine fractures, resulting in an incidence of 15.0 (95% CI 14.0 to 16.1).119
Altogether, eight studies investigated the incidence of tibia fractures. Of these, two investigated proximal fracture, whereas six investigated tibial shaft fractures.
Proximal tibia fractures were investigated in two studies,5,53 both of which were published in 2006 and 2020 and contained data ending in the years between 2000 and 2017. Both studies were included in the pooled incidence of 22.5 (95% CI 11.0 to 46.0) per 100,000 person-years.
Tibial shaft fractures were investigated in six studies.5,47,120-123 The studies were published between 2006 and 2016 and contained data ending in the years between 1999 and 2013. All six studies were included in the pooled incidence of 20.8 (95% CI 14.4 to 29.8) per 100,000 person-years.
Toe fractures were investigated in one study published in 2006 and containing data ending in the year 2000. Based on this study, the incidence of toe fractures was 55.5 (95% CI 49.5 to 62.2) per 100,000 person-years.5
Sprains and dislocations
Sprains and dislocations were investigated in 16 studies. The most common sprains and dislocations were ankle sprains (429.4, 95% CI 243.0 to 759.0 per 100,000 person-years) and patellar dislocations (32.8, 95% CI 21.6 to 49.7 per 100,000 person-years) (Figure 1, Table IV).
Table IV.
Injury type | Number of articles | Incidence* | |||
---|---|---|---|---|---|
Sprains and dislocations | Total | Pooled* | Rate | 95% CI | I2† |
Ankle sprains | 3 | 3 | 429.4 | 243.0 to 759.0 | 100.0 |
Patellar dislocations | 2 | 2 | 32.8 | 21.6 to 49.7 | 90.0 |
Shoulder dislocations | 8 | 5 | 23.9 | 17.6 to 32.4 | 97.4 |
Elbow dislocations | 3 | 3 | 5.5 | 4.9 to 6.2 | 32.1 |
Knee dislocations | 0 | 0 | N/A | N/A | N/A |
Ligament and tendon injuries | Total | Pooled * | Rate | 95% CI | I2 |
Hand extensor injury | 1 | 1 | 17.9 | 14.6 to 21.9 | N/A |
ACL rupture | 3 | 2 | 17.4 | 6.0 to 50.2 | 98.9 |
Achilles rupture | 12 | 12 | 13.6 | 9.6 to 19.4 | 99.2 |
Hand flexor injury | 2 | 2 | 5.5 | 4.0 to 7.4 | 23.4 |
Medial collateral ligament rupture | 1 | 1 | 5.2 | 3.6 to 7.6 | N/A |
Ulnar collateral ligament rupture | 1 | 1 | 3.4 | 2.2 to 5.4 | N/A |
Biceps rupture | 4 | 4 | 3.1 | 2.1 to 4.5 | 91.6 |
Quadriceps rupture | 1 | 1 | 1.4 | 0.7 to 2.8 | N/A |
Lateral collateral ligament rupture | 1 | 1 | 0.2 | 0.0 to 1.3 | N/A |
PCL rupture | 1 | N/A | N/A | N/A | N/A |
Hand flexor and extensor injury | 1 | N/A | N/A | N/A | N/A |
Hamstring ruptures | N/A | N/A | N/A | N/A | N/A |
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*
Pooled incidence was calculated from count and population at risk of the included studies by using random effects model. If heterogeneity was low (I2 < 25%) fixed effects model was used.
-
†
Heterogeneity (I2) was not calculated if only one study was included.
-
ACL, anterior cruciate ligament; CI, confidence interval; N/A, not available; PCL, posterior cruciate ligament.
Ankle sprains were investigated in three studies.124-126 The studies were published between 1994 and 2010 and contained data ending in the years between 1990 and 2006. All three studies were included in the pooled incidence of 429.4 (95% CI 243.0 to 759.0) per 100,000 person-years.
Elbow dislocations were investigated in three studies.127-129 The studies were published between 1986 and 2012 and reported data ending in the years between 1982 and 2006. All three studies were included in the pooled incidence of 5.5 (95% CI 4.9 to 6.2) per 100,000 person-years.
Studies investigating the incidence of knee dislocations in the adult population were not found in the articles reviewed.
Patellar dislocations were investigated in two studies.130,131 Both studies reported only the incidence of first-time patellar dislocations. The studies were published in 2018 and contained data ending in the years between 2013 and 2010. Both studies were included in the pooled incidence of 32.8 (95% CI 21.6 to 49.7) per 100,000 person-years.
Shoulder dislocations were investigated in eight studies.132-139 Altogether, five studies defined shoulder dislocation as glenohumeral dislocations (anterior or posterior) and included primary and recurrent cases in the total incidence. The studies were published between 1984 and 2018 and contained data ending in the years between 1979 and 2015. All the studies were included in the pooled incidence of 23.9 (95% CI 17.6 to 32.4) per 100,000 person-years. Two of the studies investigated the incidence of only primary dislocations, resulting in a pooled incidence of 26.4 (95% CI 25.3 to 27.5), and one study investigated the incidence of primary anterior dislocations, resulting in an incidence of 23.1 (95% CI 22.2 to 24.0).
Ligament and tendon injuries
Ligament and tendon injuries were investigated in 31 studies. The most common injuries were hand extensor injuries (17.9, 95% CI 14.6 to 21.9), and anterior cruciate ligament (ACL) (17.5, 95% CI 6.0 to 50.2) and Achilles ruptures (13.7, 95% CI 9.6 to 19.5) (Figure 1, Table IV).
Achilles tendon ruptures were investigated in 12 studies.6,140-150 Studies were published between 1996 and 2017 containing data ending in the years between 1994 and 2013. All the studies were included in the pooled incidence of 13.7 (95% CI 9.6 to 19.5) per 100,000 person-years.
ACL ruptures were investigated in three studies.6,151,152 The studies were published between 2008 and 2016 and contained data ending in the years between 2000 and 2010. One study reported only the age-weighted incidence and was therefore excluded from the pooled incidence.151 The other two studies resulted in an incidence of 17.5 (95% CI 6.0 to 50.2) per 100,000 person-years.6
Distal biceps ruptures were investigated in three studies.153-155 As one of the studies reported incidences separately for Finnish and Swedish populations, these incidences were included separately.154 The studies were published between 2002 and 2020 and contained data ending in the years between 1998 and 2016. All three studies were included in the pooled incidence of 3.1 (95% CI 2.1 to 4.5) per 100,000 person-years.
Studies investigating the incidence of hamstring ruptures in the adult population were not found in the articles reviewed.
Hand tendon ruptures were investigated in three studies.6,156,157 One of the studies investigated flexor tendon ruptures, and two studies investigated the incidences of both flexor and extensor injuries. One of the studies reporting both injuries together reported only age-weighted incidences, and thus were excluded from the incidences. Therefore, incidence for flexor ruptures was extracted from two studies and extensor ruptures from one study. The studies were published between 2008 and 2017 and contained data ending in the years between 2000 and 2010. The pooled incidence was 5.4 (95% CI 4.0 to 7.3) per 100,000 person-years for flexor ruptures and 17.9 (95% CI 14.6 to 21.9) per 100,000 person-years for extensor ruptures.
Lateral collateral ligament ruptures were investigated in one study.6 The study was published in 2006 and contained data ending in the year 2000. Based on this study, the incidence of lateral collateral ligament ruptures was 0.19 (95% CI 0.02 to 1.35) per 100,000 person-years.
Medial collateral ligament ruptures were investigated in one study.6 The study was published in 2006 and contained data ending in the year 2000. Based on this study, the incidence of medial collateral ligament ruptures was 5.2 (95% CI 3.6 to 7.6) per 100,000 person-years.
Posterior cruciate ligament ruptures were investigated in one study.158 The included study reported only operatively treated patients and was published in 2017 based on data ending in the year 2010. The study reported only age-weighted incidence of posterior cruciate ligament ruptures and thus was not included in the pooled incidence.
Ulnar collateral ligament ruptures were investigated in one study,6 which was published in 2006 and contained data ending in the year 2000. Based on this study, the incidence of ulnar collateral ligament ruptures was 3.4 (95% CI 2.2 to 5.4) per 100,000 person-years.
Quadriceps femoris tendon ruptures were investigated in one study.6 The study was published in 2008 and contained data ending in the year 2000. Based on this study, the incidence of quadriceps ruptures was 1.4 (95% CI 0.6 to 2.8) per 100,000 person-years.
There was a slight increase in the incidence throughout the years in Achilles ruptures (β 0.066, 95% CI 0.038 to 0.095) and distal femur fractures (β 0.044, 95% CI 0.026 to 0.062) and a slight decrease in tibia shaft fractures (-0.045, 95% CI -0.056 to -0.035), calcaneus fractures (-0.04, 95% CI -0.051 to -0.029), and distal radius fractures (-0.015, 95% CI -0.027 to -0.004). Changes in other injuries throughout the years were not detected (Supplementary Table ii).
RoB assessment was conducted for each included study. The median number of properly evaluated checklist items was 7 (IQR 6 to 8) out of 9 items. The minimum number was 4/9 (n = 3 studies) and maximum was 8/9 (n = 51 studies). Most commonly insufficient items were “8. Was there appropriate statistical analysis?” (n = 65, 42%), “4. Were the study subjects and the setting described in detail?” (n = 43, 28%), and “3. Was the sample size adequate?” (n = 34, 22%). In other items, the number of insufficient studies ranged between 1 and 8. None of the studies were excluded due to high RoB. The complete RoB assessment template can be requested from the corresponding author.
Discussion
As a result of this systematic review, we have provided pooled incidence rates of common musculoskeletal injuries. The incidence estimates serve as important references in assessing the burden caused by musculoskeletal injuries and when deciding how to guide research efforts. Given the ongoing battle between continuously increasing healthcare costs and limited healthcare resources worldwide, knowledge dissemination regarding injury incidences would assist in determining how the resources should be allocated to have the highest preventive impact on costs caused by treatment, rehabilitation, and injury-related disability. This knowledge should be used as a guide in decisions regarding health service policies as well as research funding. Often the most common injuries generate the highest costs,1 thus knowledge on the incidence rates of these injuries is essential for the decision-makers to better allocate resources toward the issues.
It has been previously shown that low-energy osteoporotic fractures have increased rapidly.159-162 Based on this review, the fractures that occur commonly among older people (distal radius, hip, and humerus) were among those with the highest incidences, even in the pooled samples of the whole population. With the reported increasing trend in incidences of these injuries, it is essential to allocate the resources properly to control the increasing incidences and costs. In particular, prevention strategies for these injuries should be optimized.
With regard to some investigated injuries, unexpectedly few epidemiological studies were found. Although the screening revealed many identified epidemiological studies, many of these unfortunately described only the characteristics of the injuries or did not otherwise report the source population, and thus were not comparable to studies reporting the incidence rate. Not a single study was identified investigating the incidence of knee dislocations or hamstring ruptures in the entire adult population. Only one study each reported toe5 and cervical spine injuries,119 and only two studies investigated Lisfranc injuries,97,163 finger,5,28 metatarsal,5,98 and proximal tibia fractures.5,53 Further, it is surprising that only three studies investigated the incidence of the most common sports injuries – ACL ruptures – in the entire adult population. This unexpected finding may be related to the common practice of reporting injury incidence within population subgroups, such as older people or athletes, which resulted in excluding these studies from this review, based on our predefined exclusion criteria. Further, since minor injuries are commonly treated in primary or private care without involving major trauma centres, such injuries are often left outside the trauma registers. Therefore, valid estimates on the incidences of these injuries may be more difficult to achieve.
The incidence rates in this meta-analysis were consistent between the studies. A clear majority of the studies were conducted in Western countries, while studies conducted in developing countries were few. Thus, the results of this systematic review may be considered to better represent developed countries, indicating the need to conduct more studies in developing countries. Still, some variations between the incidences were detected. The variations may be related to differing injury definitions. Although the anatomical area and the population at risk ought to be verified properly, some of the studies did not report the definitions clearly. For example, pelvic fractures included all fractures of the pelvic ring, and thus the different types of fracture types fall within the same fracture class.
To the best of the authors’ knowledge, this is the first meta-analysis to report pooled incidence rates of common musculoskeletal injuries. The main strength of this study was its comprehensive search protocol involving the largest medical research databases. The search was conducted separately for each injury type, and the screening was conducted by two blinded authors (MV, RL). In addition, RoB was low in most of the studies, and no single study was excluded due to high RoB.
The main limitation was the unavoidable heterogeneity of the included studies, which may predispose the pooled incidence estimates to bias of at least some extent. Some of the earliest studies were published in the 1980s and 1990s and thus the incidences of certain injuries may have changed throughout the years. Due to this bias, a meta-regression analysis adjusted for year of the study was performed to mitigate this bias. Meta-regression analysis showed that there were only minor changes in some of the injuries between the years. We also limited hip fractures to publications after the year 2015, which on the other hand may lead to selection bias. Some of the injuries (such as ankle sprains and finger/toe fractures) are usually treated in primary healthcare and may be missing from the studies conducted in larger hospitals. Therefore, the presented figures may be lower than the true incidences. The incidence of some injuries may have changed throughout the years and thus the pooled estimate may be biased. Further, the search included only the titles of the studies; therefore, if a study did not mention what they investigated in the title, such a study might have been missed in the initial search. However, we used papers found in other searches as a complementary source to fulfill some of the potentially missed papers. Nevertheless, due to the massive number of published study articles, it would have been impossible to conduct this review without using filters. Another limitation is that some of the study articles did not explicitly specify how they defined the injuries; thus, this may affect the incidence rates. Further, most of the study articles were from Western countries, thus limiting the generalizability of the study. The presented incidences cover only the selected injuries, and should not be confused with the total incidences of musculoskeletal injuries, especially when evaluating the total burden on society.
In conclusion, the presented pooled incidence estimates serve as important references in assessing the global economic and social burden of musculoskeletal injuries. As the cost of musculoskeletal injuries is known to be massive, it would be important to understand the commonness of these injuries and to aim resources toward prevention and better treatment optimization in the future.
References
1. Norton R , Kobusingye O . Injuries . N Engl J Med . 2013 ; 368 ( 18 ): 1723 – 1730 . Crossref PubMed Google Scholar
2. Mock C , Cherian MN . The global burden of musculoskeletal injuries: challenges and solutions . Clin Orthop Relat Res . 2008 ; 466 ( 10 ): 2306 – 2316 . Crossref PubMed Google Scholar
3. Walter N , Rupp M , Hierl K , et al. Long-term patient-related quality of life after fracture-related infections of the long bones . Bone Joint Res . 2021 ; 10 ( 5 ): 321 – 327 . Crossref PubMed Google Scholar
4. Png ME , Griffin XL , Costa ML , Achten J , Pinedo-Villanueva R . Utilization and costs of formal and informal care, home adaptations, and physiotherapy among older patients with hip fracture . Bone Joint Res . 2020 ; 9 ( 5 ): 250 – 257 . Crossref PubMed Google Scholar
5. Court-Brown CM , Caesar B . Epidemiology of adult fractures: A review . Injury . 2006 ; 37 ( 8 ): 691 – 697 . Crossref PubMed Google Scholar
6. Clayton RAE , Court-Brown CM . The epidemiology of musculoskeletal tendinous and ligamentous injuries . Injury . 2008 ; 39 ( 12 ): 1338 – 1344 . Crossref PubMed Google Scholar
7. No authors listed . Rayyan – Intelligent Systematic Review . Rayyan . 2022 . https://www.rayyan.ai/ ( date last accessed 16 September 2022 ). Google Scholar
8. Munn Z , Moola S , Riitano D , Lisy K . The development of a critical appraisal tool for use in systematic reviews addressing questions of prevalence . Int J Health Policy Manag . 2014 ; 3 ( 3 ): 123 – 128 . Crossref PubMed Google Scholar
9. Munn Z , Moola S , Lisy K , Riitano D , Tufanaru C . Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data . Int J Evid Based Healthc . 2015 ; 13 ( 3 ): 147 – 153 . Crossref PubMed Google Scholar
10. Laird A , Keating JF . Acetabular fractures: a 16-year prospective epidemiological study . J Bone Joint Surg Br . 2005 ; 87-B ( 7 ): 969 – 973 . Crossref PubMed Google Scholar
11. Somersalo A , Paloneva J , Kautiainen H , Lönnroos E , Heinänen M , Kiviranta I . Incidence of fractures requiring inpatient care . Acta Orthop . 2014 ; 85 ( 5 ): 525 – 530 . Crossref PubMed Google Scholar
12. Lundin N , Huttunen TT , Berg HE , Marcano A , Felländer-Tsai L , Enocson A . Increasing incidence of pelvic and acetabular fractures. A nationwide study of 87,308 fractures over a 16-year period in Sweden . Injury . 2021 ; 52 ( 6 ): 1410 – 1417 . Crossref PubMed Google Scholar
13. Ahmed M , Abuodeh Y , Alhammoud A , Salameh M , Hasan K , Ahmed G . Epidemiology of acetabular fractures in Qatar . Int Orthop . 2018 ; 42 ( 9 ): 2211 – 2217 . Crossref PubMed Google Scholar
14. Rinne PP , Laitinen MK , Huttunen T , Kannus P , Mattila VM . The incidence and trauma mechanisms of acetabular fractures: A nationwide study in Finland between 1997 and 2014 . Injury . 2017 ; 48 ( 10 ): 2157 – 2161 . Crossref PubMed Google Scholar
15. Melhem E , Riouallon G , Habboubi K , Gabbas M , Jouffroy P . Epidemiology of pelvic and acetabular fractures in France . Orthop Traumatol Surg Res . 2020 ; 106 ( 5 ): 831 – 839 . Crossref PubMed Google Scholar
16. Thur CK , Edgren G , Jansson K-Å , Wretenberg P . Epidemiology of adult ankle fractures in Sweden between 1987 and 2004: a population-based study of 91,410 Swedish inpatients . Acta Orthop . 2012 ; 83 ( 3 ): 276 – 281 . Crossref PubMed Google Scholar
17. Jensen SL , Andresen BK , Mencke S , Nielsen PT . Epidemiology of ankle fractures. A prospective population-based study of 212 cases in Aalborg, Denmark . Acta Orthop Scand . 1998 ; 69 ( 1 ): 48 – 50 . Crossref PubMed Google Scholar
18. Daly PJ , Fitzgerald RH Jr , Melton LJ , Ilstrup DM . Epidemiology of ankle fractures in Rochester, Minnesota . Acta Orthop Scand . 1987 ; 58 ( 5 ): 539 – 544 . Crossref PubMed Google Scholar
19. Elsoe R , Ostgaard SE , Larsen P . Population-based epidemiology of 9767 ankle fractures . Foot Ankle Surg . 2018 ; 24 ( 1 ): 34 – 39 . Crossref PubMed Google Scholar
20. Juto H , Nilsson H , Morberg P . Epidemiology of Adult Ankle Fractures: 1756 cases identified in Norrbotten County during 2009-2013 and classified according to AO/OTA . BMC Musculoskelet Disord . 2018 ; 19 ( 1 ): 1 – 9 . Crossref PubMed Google Scholar
21. Liu S , Zhu Y , Chen W , Wang L , Zhang X , Zhang Y . Demographic and socioeconomic factors influencing the incidence of ankle fractures, a national population-based survey of 512187 individuals . Sci Rep . 2018 ; 8 ( 1 ): 1 – 8 . Crossref PubMed Google Scholar
22. Scheer RC , Newman JM , Zhou JJ , et al. Ankle fracture epidemiology in the United States: Patient-related trends and mechanisms of injury . J Foot Ankle Surg . 2020 ; 59 ( 3 ): 479 – 483 . Crossref PubMed Google Scholar
23. Curtis EM , van der Velde R , Moon RJ , et al. Epidemiology of fractures in the United Kingdom 1988-2012: Variation with age, sex, geography, ethnicity and socioeconomic status . Bone . 2016 ; 87 : 19 – 26 . Crossref PubMed Google Scholar
24. Zhu Y , Li J , Liu S , et al. Socioeconomic factors and lifestyles influencing the incidence of calcaneal fractures, a national population-based survey in China . J Orthop Surg Res . 2019 ; 14 ( 1 ): 1 – 8 . Crossref PubMed Google Scholar
25. Mitchell MJ , McKinley JC , Robinson CM . The epidemiology of calcaneal fractures . Foot (Edinb) . 2009 ; 19 ( 4 ): 197 – 200 . Crossref PubMed Google Scholar
26. Haapasalo H , Laine H-J , Mäenpää H , Wretenberg P , Kannus P , Mattila VM . Epidemiology of calcaneal fractures in Finland . Foot Ankle Surg . 2017 ; 23 ( 4 ): 321 – 324 . Crossref PubMed Google Scholar
27. Humphrey JA , Woods A , Robinson AHN . The epidemiology and trends in the surgical management of calcaneal fractures in England between 2000 and 2017 . Bone Joint J . 2019 ; 101-B ( 2 ): 140 – 146 . Crossref PubMed Google Scholar
28. Karl JW , Olson PR , Rosenwasser MP . The epidemiology of upper extremity fractures in the United States, 2009 . J Orthop Trauma . 2015 ; 29 ( 8 ): e242 – 4 . Crossref PubMed Google Scholar
29. Holloway KL , Moloney DJ , Brennan-Olsen SL , et al. Carpal and scaphoid fracture incidence in south-eastern Australia: an epidemiologic study . Arch Osteoporos . 2015 ; 10 ( 1 ): 10 . Crossref . Epub 2015/04/26.PubMed Google Scholar
30. Chen W , Zhu Y , Liu S , et al. Demographic and socioeconomic factors influencing the incidence of clavicle fractures, a national population-based survey of five hundred and twelve thousand, one hundred and eighty seven individuals . Int Orthop . 2018 ; 42 ( 3 ): 651 – 658 . Crossref Google Scholar
31. DeFroda SF , Lemme N , Kleiner J , Gil J , Owens BD . Incidence and mechanism of injury of clavicle fractures in the NEISS database: Athletic and non athletic injuries . J Clin Orthop Trauma . 2019 ; 10 ( 5 ): 954 – 958 . Crossref PubMed Google Scholar
32. Huttunen TT , Launonen AP , Berg HE , Lepola V , Felländer-Tsai L , Mattila VM . Trends in the incidence of clavicle fractures and surgical repair in sweden: 2001-2012 . J Bone Joint Surg Am . 2016 ; 98-A ( 21 ): 1837 – 1842 . Crossref PubMed Google Scholar
33. Nordqvist A , Petersson C . The incidence of fractures of the clavicle . Clin Orthop Relat Res . 1994 ( 300 ): 127 – 132 . PubMed Google Scholar
34. Nowak J , Mallmin H , Larsson S . The aetiology and epidemiology of clavicular fractures. A prospective study during a two-year period in Uppsala, Sweden . Injury . 2000 ; 31 ( 5 ): 353 – 358 . Crossref PubMed Google Scholar
35. Ali M , Eiriksdottir A , Murtadha M , Åkesson A , Atroshi I . Incidence of distal radius fracture in a general population in southern Sweden in 2016 compared with 2001 . Osteoporos Int . 2020 ; 31 ( 4 ): 715 – 720 . Crossref PubMed Google Scholar
36. Bentohami A , Bosma J , Akkersdijk GJM , van Dijkman B , Goslings JC , Schep NWL . Incidence and characteristics of distal radial fractures in an urban population in The Netherlands . Eur J Trauma Emerg Surg . 2014 ; 40 ( 3 ): 357 – 361 . Crossref PubMed Google Scholar
37. Brogren E , Petranek M , Atroshi I . Incidence and characteristics of distal radius fractures in a southern Swedish region . BMC Musculoskelet Disord . 2007 ; 8 ( 1 ): 48 . Crossref PubMed Google Scholar
38. Flinkkilä T , Sirniö K , Hippi M , et al. Epidemiology and seasonal variation of distal radius fractures in Oulu, Finland . Osteoporos Int . 2011 ; 22 ( 8 ): 2307 – 2312 . Crossref PubMed Google Scholar
39. Solvang HW , Nordheggen RA , Clementsen S , Hammer O-L , Randsborg P-H . Epidemiology of distal radius fracture in Akershus, Norway, in 2010–2011 . J Orthop Surg Res . 2018 ; 13 ( 1 ): 1 – 7 . Crossref Google Scholar
40. Róbertsson GO , Jónsson GT , Sigurjónsson K . Epidemiology of distal radius fractures in Iceland in 1985 . Acta Orthop Scand . 1990 ; 61 ( 5 ): 457 – 459 . Crossref PubMed Google Scholar
41. Schmalholz A . Epidemiology of distal radius fracture in Stockholm 1981-82 . Acta Orthop Scand . 1988 ; 59 ( 6 ): 701 – 703 . Crossref PubMed Google Scholar
42. Solgaard S , Petersen VS . Epidemiology of distal radius fractures . Acta Orthop Scand . 1985 ; 56 ( 5 ): 391 – 393 . Crossref PubMed Google Scholar
43. Thompson PW , Taylor J , Dawson A . The annual incidence and seasonal variation of fractures of the distal radius in men and women over 25 years in Dorset, UK . Injury . 2004 ; 35 ( 5 ): 462 – 466 . Crossref PubMed Google Scholar
44. Stirling ERB , Johnson NA , Dias JJ . Epidemiology of distal radius fractures in a geographically defined adult population . J Hand Surg Eur Vol . 2018 ; 43 ( 9 ): 974 – 982 . Crossref PubMed Google Scholar
45. Tsai C-H , Muo C-H , Fong Y-C , et al. A population-based study on trend in incidence of distal radial fractures in adults in Taiwan in 2000-2007 . Osteoporos Int . 2011 ; 22 ( 11 ): 2809 – 2815 . Crossref PubMed Google Scholar
46. Arneson TJ , Melton LJ , Lewallen DG , O’fallon WM . Epidemiology of Diaphyseal and Distal Femoral Fractures in Rochester, Minnesota, 1965???1984 . Clinical Orthopaedics and Related Research . 1988 ; 234 ( amp;NA ): 188 . Crossref Google Scholar
47. Bengnér U , Ekbom T , Johnell O , Nilsson BE . Incidence of femoral and tibial shaft fractures. Epidemiology 1950-1983 in Malmö, Sweden . Acta Orthop Scand . 1990 ; 61 ( 3 ): 251 – 254 . Crossref PubMed Google Scholar
48. Enninghorst N , McDougall D , Evans JA , Sisak K , Balogh ZJ . Population-based epidemiology of femur shaft fractures . J Trauma Acute Care Surg . 2013 ; 74 ( 6 ): 1516 – 1520 . Crossref PubMed Google Scholar
49. Maravic M , Ostertag A , Cohen-Solal M . Subtrochanteric/femoral shaft versus hip fractures: incidences and identification of risk factors . J Bone Miner Res . 2012 ; 27 ( 1 ): 130 – 137 . Crossref PubMed Google Scholar
50. Myssayev А , Meirmanov S , Zhanaspayev М , et al. Femoral shaft fracture in adult victims in Semey, Kazakhstan from 2009–2011: An epidemiological retrospective study . Life Sci J . 2014 ; 11 ( 3 ): 191 – 195 . Google Scholar
51. Salminen ST , Pihlajamäki HK , Avikainen VJ , Böstman OM . Population based epidemiologic and morphologic study of femoral shaft fractures . Clin Orthop Relat Res . 2000 ; 372 : 241 – 249 . Crossref PubMed Google Scholar
52. Weiss RJ , Montgomery SM , Al Dabbagh Z , Jansson K-A . National data of 6409 Swedish inpatients with femoral shaft fractures: stable incidence between 1998 and 2004 . Injury . 2009 ; 40 ( 3 ): 304 – 308 . Crossref PubMed Google Scholar
53. Vestergaard V , Pedersen AB , Tengberg PT , Troelsen A , Schrøder HM . 20-year trends of distal femoral, patellar, and proximal tibial fractures: a Danish nationwide cohort study of 60,823 patients . Acta Orthop . 2020 ; 91 ( 1 ): 109 – 114 . Crossref PubMed Google Scholar
54. Unim B , Minelli G , Da Cas R , et al. Trends in hip and distal femoral fracture rates in Italy from 2007 to 2017 . Bone . 2021 ; 142 : 115752 . Crossref PubMed Google Scholar
55. Elsoe R , Ceccotti AA , Larsen P . Population-based epidemiology and incidence of distal femur fractures . Int Orthop . 2018 ; 42 ( 1 ): 191 – 196 . Crossref PubMed Google Scholar
56. Liu S , Zhu Y , Wang L , Chen W , Zhang X , Zhang Y . Incidence and risk factors for foot fractures in China: A retrospective population-based survey . PLoS One . 2018 ; 13 ( 12 ): e0209740 . Crossref PubMed Google Scholar
57. Rasmussen CG , Jørgensen SB , Larsen P , Horodyskyy M , Kjær IL , Elsoe R . Population-based incidence and epidemiology of 5912 foot fractures . Foot Ankle Surg . 2021 ; 27 ( 2 ): 181 – 185 . Crossref PubMed Google Scholar
58. Azizieh FY . Incidence of hip fracture in Kuwait: a national registry-based study . Arch Osteoporos . 2015 ; 10 ( 1 ): 1 – 7 . Crossref PubMed Google Scholar
59. Chen F-P , Shyu Y-C , Fu T-S , et al. Secular trends in incidence and recurrence rates of hip fracture: a nationwide population-based study . Osteoporos Int . 2017 ; 28 ( 3 ): 811 – 818 . Crossref PubMed Google Scholar
60. Concin H , Brozek W , Benedetto K-P , et al. Hip fracture incidence 2003-2013 and projected cases until 2050 in Austria: a population-based study . Int J Public Health . 2016 ; 61 ( 9 ): 1021 – 1030 . Crossref PubMed Google Scholar
61. Dela SS , Paruk F , Brown SL , et al. Ethnic and gender-specific incidence rates for hip fractures in South Africa: A multi-centre study . Bone . 2020 ; 133 : 115253 . Crossref PubMed Google Scholar
62. Di Giovanni P , Di Martino G , Zecca IA , Porfilio I , Romano F , Staniscia T . Incidence of hip fracture and 30-day hospital readmissions in a region of central Italy from 2006 to 2015 . Geriatr Gerontol Int . 2019 ; 19 ( 6 ): 483 – 486 . Crossref PubMed Google Scholar
63. Etxebarria-Foronda I , Arrospide A , Soto-Gordoa M , Caeiro JR , Abecia LC , Mar J . Regional variability in changes in the incidence of hip fracture in the Spanish population (2000–2012) . Osteoporos Int . 2015 ; 26 ( 5 ): 1491 – 1497 . Crossref Google Scholar
64. Giannini S , Sella S , Rossini M , et al. Declining trends in the incidence of hip fractures in people aged 65years or over in years 2000-2011 . Eur J Intern Med . 2016 ; 35 : 60 – 65 . Crossref PubMed Google Scholar
65. Ha YC , Park YG , Nam KW , Kim SR . Trend in hip fracture incidence and mortality in Korea: a prospective cohort study from 2002 to 2011 . J Korean Med Sci . 2015 ; 30 ( 4 ): 483 – 488 . Crossref PubMed Google Scholar
66. Hong S , Han K . The incidence of hip fracture and mortality rate after hip fracture in Korea: A nationwide population-based cohort study . Osteoporos Sarcopenia . 2019 ; 5 ( 2 ): 38 – 43 . Crossref PubMed Google Scholar
67. Jantzen C , Madsen CM , Lauritzen JB , Jørgensen HL . Temporal trends in hip fracture incidence, mortality, and morbidity in Denmark from 1999 to 2012 . Acta Orthop . 2018 ; 89 ( 2 ): 170 – 176 . Crossref PubMed Google Scholar
68. Karayiannis PN , McAlinden MG . Falling age-related incidence of hip fractures in women, but not men, in Northern Ireland: 2001-2011 . Osteoporos Int . 2016 ; 27 ( 11 ): 3377 – 3381 . Crossref Google Scholar
69. Lin K-B , Yang N-P , Lee Y-H , et al. The incidence and factors of hip fractures and subsequent morbidity in Taiwan: An 11-year population-based cohort study . PLoS One . 2018 ; 13 ( 2 ): e0192388 . Crossref . Epub 2018/02/16.PubMed Google Scholar
70. Maharlouei N , Atefi S , Namazi H , et al. The incidence of hip fracture in Shiraz, Iran: a promising rate comparing to previous studies . Osteoporos Int . 2017 ; 28 ( 6 ): 1989 – 1993 . Crossref PubMed Google Scholar
71. Meagher E , Varghese S , Harty JA , O’Loughlin PF . The decline of hip fracture incidence rates over a 10-year period: A single centre experience . Injury . 2021 ; 52 ( 7 ): 1807 – 1812 . Crossref PubMed Google Scholar
72. Miyasaka D , Endo N , Endo E , et al. Incidence of hip fracture in Niigata, Japan in 2004 and 2010 and the long-term trends from 1985 to 2010 . J Bone Miner Metab . 2016 ; 34 ( 1 ): 92 – 98 . Crossref Crossref PubMed Google Scholar
73. Park K-S , Woo S-H , Park W-J , Rowe S-M , Yoon T-R . Change in incidence of hip fracture in Gwangju City and Jeonnam Province, Korea, over 20 years . Arch Osteoporos . 2015 ; 10 ( 1 ): 38 . Crossref PubMed Google Scholar
74. Pueyo-Sánchez M-J , Larrosa M , Suris X , et al. Secular trend in the incidence of hip fracture in Catalonia, Spain, 2003-2014 . Age Ageing . 2017 ; 46 ( 2 ): 324 – 328 . Crossref PubMed Google Scholar
75. Quevedo I , Ormeño JC , Weissglas B , Opazo C . Epidemiology and direct medical cost of osteoporotic hip fracture in Chile . J Osteoporos . 2020 ; 2020 : 5360467 . Crossref . Epub 2020/04/11.PubMed Google Scholar
76. Silva DMW , Lazaretti-Castro M , Freitas Zerbini Ca , Szejnfeld VL , Eis SR , Borba VZC . Incidence and excess mortality of hip fractures in a predominantly Caucasian population in the South of Brazil . Arch Osteoporos . 2019 ; 14 ( 1 ): 47 . Crossref . Epub 2019/04/18.PubMed Google Scholar
77. Sosa M , Saavedra P , de Tejada MJG , Navarro M , Cabrera D , Melton LJ 3rd . Trends in the incidence of hip fracture in Gran Canaria, Canary Islands, Spain: 2007-2011 versus 1989-1993 . Osteoporos Int . 2015 ; 26 ( 4 ): 1361 – 1366 . Crossref PubMed Google Scholar
78. Sucharitpongpan W , Daraphongsataporn N , Saloa S , et al. Epidemiology of fragility hip fractures in Nan, Thailand . Osteoporos Sarcopenia . 2019 ; 5 ( 1 ): 19 – 22 . Crossref PubMed Google Scholar
79. Sullivan KJ , Husak LE , Altebarmakian M , Brox WT . Demographic factors in hip fracture incidence and mortality rates in California, 2000-2011 . J Orthop Surg Res . 2016 ; 11 : 4 . Crossref PubMed Google Scholar
80. Takusari E , Sakata K , Hashimoto T , Fukushima Y , Nakamura T , Orimo H . Trends in hip fracture incidence in Japan: Estimates based on nationwide hip fracture surveys from 1992 to 2017 . JBMR Plus . 2021 ; 5 ( 2 ): e10428 . Crossref PubMed Google Scholar
81. Tamaki J , Fujimori K , Ikehara S , et al. Estimates of hip fracture incidence in Japan using the National Health Insurance Claim Database in 2012-2015 . Osteoporos Int . 2019 ; 30 ( 5 ): 975 – 983 . Crossref PubMed Google Scholar
82. Tarantino U , Piscitelli P , Feola M , et al. Decreasing trend of hip fractures incidence in Italy between 2007 and 2014: epidemiological changes due to population aging . Arch Osteoporos . 2018 ; 13 ( 1 ): 23 . Crossref PubMed Google Scholar
83. Tian FM , Sun XX , Liu JY , Liu ZK , Liang CY , Zhang L . Unparallel gender-specific changes in the incidence of hip fractures in Tangshan, China . Arch Osteoporos . 2017 ; 12 ( 1 ): 18 . Crossref PubMed Google Scholar
84. Zhang C , Feng J , Wang S , et al. Incidence of and trends in hip fracture among adults in urban China: A nationwide retrospective cohort study . PLoS Med . 2020 ; 17 ( 8 ): e1003180 . Crossref PubMed Google Scholar
85. Barahona M , Martínez Á , Brañes J , Rodríguez D , Barrientos C . Incidence, risk factors and case fatality rate for hip fracture in Chile: A cross-sectional study based on 2017 national registries . Medwave . 2020 ; 20 ( 5 ): e7939 . Crossref PubMed Google Scholar
86. Bergdahl C , Ekholm C , Wennergren D , Nilsson F , Möller M . Epidemiology and patho-anatomical pattern of 2,011 humeral fractures: data from the Swedish Fracture Register . BMC Musculoskelet Disord . 2016 ; 17 : 159 . Crossref PubMed Google Scholar
87. Court-Brown CM , Garg A , McQueen MM . The epidemiology of proximal humeral fractures . Acta Orthop Scand . 2001 ; 72 ( 4 ): 365 – 371 . Crossref PubMed Google Scholar
88. Dimai HP , Svedbom A , Fahrleitner-Pammer A , et al. Epidemiology of proximal humeral fractures in Austria between 1989 and 2008 . Osteoporos Int . 2013 ; 24 ( 9 ): 2413 – 2421 . Crossref PubMed Google Scholar
89. Hagino H , Yamamoto K , Ohshiro H , Nakamura T , Kishimoto H , Nose T. . Changing incidence of hip, distal radius, and proximal humerus fractures in Tottori Prefecture, Japan . Bone . 1999 ; 24 ( 3 ): 265 - 70 . Crossref PubMed Google Scholar
90. Kristiansen B , Barfod G , Bredesen J , et al. Epidemiology of proximal humeral fractures . Acta Orthop Scand . 1987 ; 58 ( 1 ): 75 – 77 . Crossref . Epub 1987/02/01.PubMed Google Scholar
91. Launonen AP , Lepola V , Saranko A , Flinkkila T , Laitinen M , Mattila VM . Epidemiology of proximal humerus fractures . Arch Osteoporos . 2015 ; 10 : 209 . Epub 2015/02/14 . Crossref PubMed Google Scholar
92. Lind T , Krøner K , Jensen J . The epidemiology of fractures of the proximal humerus . Arch Orthop Trauma Surg . 1989 ; 108 ( 5 ): 285 – 287 . Crossref PubMed Google Scholar
93. Park C , Jang S , Lee A , et al. Incidence and mortality after proximal humerus fractures over 50 years of age in South Korea: national claim data from 2008 to 2012 . J Bone Metab . 2015 ; 22 ( 1 ): 17 – 21 . Crossref PubMed Google Scholar
94. Palvanen M , Kannus P , Niemi S , Parkkari J . Update in the epidemiology of proximal humeral fractures . Clin Orthop Relat Res . 2006 ; 442 : 87 – 92 . Crossref PubMed Google Scholar
95. Ekholm R , Adami J , Tidermark J , Hansson K , Törnkvist H , Ponzer S . Fractures of the shaft of the humerus. An epidemiological study of 401 fractures . J Bone Joint Surg Br . 2006 ; 88-B ( 11 ): 1469 – 1473 . Crossref PubMed Google Scholar
96. Sheps DM , Kemp KAR , Hildebrand KA . Population-based incidence of distal humeral fractures among adults in a Canadian urban center . Curr Orthop Pract . 2011 ; 22 ( 5 ): 437 – 442 . Crossref Google Scholar
97. Ponkilainen VT , Laine H-J , Mäenpää HM , Mattila VM , Haapasalo HH . Incidence and characteristics of midfoot injuries . Foot Ankle Int . 2019 ; 40 ( 1 ): 105 – 112 . Crossref PubMed Google Scholar
98. Petrisor BA , Ekrol I , Court-Brown C . The epidemiology of metatarsal fractures . Foot Ankle Int . 2006 ; 27 ( 3 ): 172 – 174 . Crossref . Epub 2006/03/17.PubMed Google Scholar
99. Nakashian MN , Pointer L , Owens BD , Wolf JM . Incidence of metacarpal fractures in the US population . Hand . 2012 ; 7 ( 4 ): 426 – 430 . Crossref PubMed Google Scholar
100. Larsen P , Court-Brown CM , Vedel JO , Vistrup S , Elsoe R . Incidence and epidemiology of patellar fractures . Orthopedics . 2016 ; 39 ( 6 ): e1154 – e1158 . Crossref . Epub 2016/08/19.PubMed Google Scholar
101. Zhu Y , Liu S , Chen W , Wang L , Zhang X , Zhang Y . Socioeconomic factors and individual lifestyles influencing the incidence of patella fractures: a national population-based survey in China . Int Orthop . 2019 ; 43 ( 3 ): 687 – 695 . Crossref . Epub 2018/05/21.PubMed Google Scholar
102. Andrich S , Haastert B , Neuhaus E , et al. Epidemiology of pelvic fractures in Germany: Considerably high incidence rates among older people . PLoS One . 2015 ; 10 ( 9 ): e0139078 . Crossref . Epub 2015/09/30.PubMed Google Scholar
103. Balogh Z , King KL , Mackay P , et al. The epidemiology of pelvic ring fractures: a population-based study . J Trauma . 2007 ; 63 ( 5 ): 1066 – 1073 . Crossref PubMed Google Scholar
104. Lüthje P , Nurmi N , Kataja M , Heliövaara M , Santavirta S . Incidence of pelvic fractures in Finland in 1988 . Acta Orthopaedica Scandinavica . 1995 ; 66 ( 3 ): 245 – 248 . Crossref PubMed Google Scholar
105. Melton LJ , Sampson JM , Morrey BF , Ilstrup DM . Epidemiologic Features of Pelvic Fractures . Clinical Orthopaedics and Related Research . 1981 ; 155 ( amp;NA ): 43 . Crossref PubMed Google Scholar
106. Prieto-Alhambra D , Avilés FF , Judge A , et al. Burden of pelvis fracture: a population-based study of incidence, hospitalisation and mortality . Osteoporos Int . 2012 ; 23 ( 12 ): 2797 – 2803 . Crossref PubMed Google Scholar
107. Ragnarsson B , Jacobsson B . Epidemiology of pelvic fractures in a Swedish county . Acta Orthop Scand . 1992 ; 63 ( 3 ): 297 – 300 . Crossref PubMed Google Scholar
108. Rinne PP , Laitinen MK , Kannus P , Mattila VM . The incidence of pelvic fractures and related surgery in the Finnish adult population: a nationwide study of 33,469 patients between 1997 and 2014 . Acta Orthop . 2020 ; 91 ( 5 ): 587 – 592 . Crossref PubMed Google Scholar
109. Verbeek DO , Ponsen KJ , Fiocco M , Amodio S , Leenen LPH , Goslings JC . Pelvic fractures in the Netherlands: epidemiology, characteristics and risk factors for in-hospital mortality in the older and younger population . Eur J Orthop Surg Traumatol . 2018 ; 28 ( 2 ): 197 – 205 . Crossref PubMed Google Scholar
110. Duckworth AD , Jenkins PJ , Aitken SA , Clement ND , Court-Brown CM , McQueen MM . Scaphoid fracture epidemiology . J Trauma Acute Care Surg . 2012 ; 72 ( 2 ): E41 – 5 . Crossref PubMed Google Scholar
111. Garala K , Taub NA , Dias JJ . The epidemiology of fractures of the scaphoid: impact of age, gender, deprivation and seasonality . Bone Joint J . 2016 ; 98-B ( 5 ): 654 – 659 . Crossref PubMed Google Scholar
112. Hove LM . Epidemiology of scaphoid fractures in Bergen, Norway . Scand J Plast Reconstr Surg Hand Surg . 1999 ; 33 ( 4 ): 423 – 426 . Crossref PubMed Google Scholar
113. Larsen CF , Brøndum V , Skov O . Epidemiology of scaphoid fractures in Odense, Denmark . Acta Orthop Scand . 1992 ; 63 ( 2 ): 216 – 218 . Crossref PubMed Google Scholar
114. Swärd EM , Schriever TU , Franko MA , Björkman AC , Wilcke MK . The epidemiology of scaphoid fractures in Sweden: a nationwide registry study . J Hand Surg Eur Vol . 2019 ; 44 ( 7 ): 697 – 701 . Crossref PubMed Google Scholar
115. Van Tassel DC , Owens BD , Wolf JM . Incidence estimates and demographics of scaphoid fracture in the U.S. population . J Hand Surg Am . 2010 ; 35 ( 8 ): 1242 – 1245 . Crossref PubMed Google Scholar
116. Wells ME , Nicholson TC , Macias RA , Nesti LJ , Dunn JC . Incidence of scaphoid fractures and associated injuries at US trauma centers . J Wrist Surg . 2021 ; 10 ( 2 ): 123 – 128 . Crossref PubMed Google Scholar
117. Ideberg R , Grevsten S , Larsson S . Epidemiology of scapular fractures. Incidence and classification of 338 fractures . Acta Orthop Scand . 1995 ; 66 ( 5 ): 395 – 397 . Crossref PubMed Google Scholar
118. Ponkilainen VT , Toivonen L , Niemi S , Kannus P , Huttunen TT , Mattila VM . Incidence of spine fracture hospitalization and surgery in Finland in 1998-2017 . Spine (Phila Pa 1976) . 2020 ; 45 ( 7 ): 459 – 464 . Crossref PubMed Google Scholar
119. Fredø HL , Bakken IJ , Lied B , Rønning P , Helseth E . Incidence of traumatic cervical spine fractures in the Norwegian population: a national registry study . Scand J Trauma Resusc Emerg Med . 2014 ; 22 ( 1 ): 78 . Crossref . Epub 2014/12/19.PubMed Google Scholar
120. Emami A , Mjöberg B , Ragnarsson B , Larsson S . Changing epidemiology of tibial shaft fractures. 513 cases compared between 1971-1975 and 1986-1990 . Acta Orthop Scand . 1996 ; 67 ( 6 ): 557 – 561 . Crossref . Epub 1996/12/01.PubMed Google Scholar
121. Larsen P , Elsoe R , Hansen SH , Graven-Nielsen T , Laessoe U , Rasmussen S . Incidence and epidemiology of tibial shaft fractures . Injury . 2015 ; 46 ( 4 ): 746 – 750 . Crossref . Epub 2015/02/01.PubMed Google Scholar
122. Leliveld MS , Polinder S , Panneman MJM , Verhofstad MHJ , Van Lieshout EMM . Epidemiologic trends for isolated tibia shaft fracture admissions in The Netherlands between 1991 and 2012 . Eur J Trauma Emerg Surg . 2020 ; 46 ( 5 ): 1115 – 1122 . Crossref PubMed Google Scholar
123. Weiss RJ , Montgomery SM , Ehlin A , Al Dabbagh Z , Stark A , Jansson KA . Decreasing incidence of tibial shaft fractures between 1998 and 2004: information based on 10,627 Swedish inpatients . Acta Orthop . 2008 ; 79 ( 4 ): 526 – 533 . Crossref PubMed Google Scholar
124. Waterman BR , Owens BD , Davey S , Zacchilli MA , Belmont PJ . The epidemiology of ankle sprains in the United States . J Bone Joint Surg Am . 2010 ; 92-A ( 13 ): 2279 – 2284 . Crossref PubMed Google Scholar
125. Bridgman SA , Clement D , Downing A , Walley G , Phair I , Maffulli N . Population based epidemiology of ankle sprains attending accident and emergency units in the West Midlands of England, and a survey of UK practice for severe ankle sprains . Emerg Med J . 2003 ; 20 ( 6 ): 508 – 510 . Crossref PubMed Google Scholar
126. Hølmer P , Søndergaard L , Konradsen L , Nielsen PT , Jørgensen LN . Epidemiology of sprains in the lateral ankle and foot . Foot Ankle Int . 1994 ; 15 ( 2 ): 72 – 74 . Crossref PubMed Google Scholar
127. Josefsson PO , Nilsson BE . Incidence of elbow dislocation . Acta Orthop Scand . 1986 ; 57 ( 6 ): 537 – 538 . Crossref PubMed Google Scholar
128. Sheps DM , Kemp KAR , Hildebrand KA . Elbow dislocations in a Canadian metropolitan health region: A 3-year population-based incidence study . Shoulder & Elbow . 2010 ; 2 ( 4 ): 281 – 286 . Crossref Google Scholar
129. Stoneback JW , Owens BD , Sykes J , Athwal GS , Pointer L , Wolf JM . Incidence of elbow dislocations in the United States population . J Bone Joint Surg Am . 2012 ; 94-A ( 3 ): 240 – 245 . Crossref PubMed Google Scholar
130. Gravesen KS , Kallemose T , Blønd L , Troelsen A , Barfod KW . High incidence of acute and recurrent patellar dislocations: a retrospective nationwide epidemiological study involving 24.154 primary dislocations . Knee Surg Sports Traumatol Arthrosc . 2018 ; 26 ( 4 ): 1204 – 1209 . Crossref PubMed Google Scholar
131. Sanders TL , Pareek A , Hewett TE , Stuart MJ , Dahm DL , Krych AJ . Incidence of first-time lateral patellar dislocation: A 21-year population-based study . Sports Health . 2018 ; 10 ( 2 ): 146 – 151 . Crossref PubMed Google Scholar
132. Krøner K , Lind T , Jensen J . The epidemiology of shoulder dislocations . Arch Orthop Trauma Surg . 1989 ; 108 ( 5 ): 288 – 290 . Crossref PubMed Google Scholar
133. Leroux T , Wasserstein D , Veillette C , et al. Epidemiology of primary anterior shoulder dislocation requiring closed reduction in Ontario, Canada . Am J Sports Med . 2014 ; 42 ( 2 ): 442 – 450 . Crossref . Epub 2013/11/28.PubMed Google Scholar
134. Liavaag S , Svenningsen S , Reikerås O , et al. The epidemiology of shoulder dislocations in Oslo . Scand J Med Sci Sports . 2011 ; 21 ( 6 ): e334 – 40 . Crossref PubMed Google Scholar
135. Shah A , Judge A , Delmestri A , et al. Incidence of shoulder dislocations in the UK, 1995-2015: a population-based cohort study . BMJ Open . 2017 ; 7 ( 11 ): e016112 . Crossref PubMed Google Scholar
136. Shields DW , Jefferies JG , Brooksbank AJ , Millar N , Jenkins PJ . Epidemiology of glenohumeral dislocation and subsequent instability in an urban population . J Shoulder Elbow Surg . 2018 ; 27 ( 2 ): 189 – 195 . Crossref . Epub 2017/11/15.PubMed Google Scholar
137. Simonet WT , Melton LJ , Cofield RH , Ilstrup DM . Incidence of anterior shoulder dislocation in Olmsted County, Minnesota . Clin Orthop Relat Res . 1984 ; 186 : 186 – 191 . Crossref PubMed Google Scholar
138. Szyluk KJ , Jasiński A , Mielnik M , Koczy B . Incidence of posttraumatic shoulder dislocation in Poland . Med Sci Monit . 2016 ; 22 : 3967 – 3974 . Crossref PubMed Google Scholar
139. Zacchilli MA , Owens BD . Epidemiology of shoulder dislocations presenting to emergency departments in the United States . J Bone Joint Surg Am . 2010 ; 92-A ( 3 ): 542 – 549 . Crossref PubMed Google Scholar
140. Cretnik A , Frank A . Incidence and outcome of rupture of the Achilles tendon . Wien Klin Wochenschr . 2004 ; 116 Suppl 2 : 33 – 38 . PubMed Google Scholar
141. Ganestam A , Kallemose T , Troelsen A , Barfod KW . Increasing incidence of acute Achilles tendon rupture and a noticeable decline in surgical treatment from 1994 to 2013. A nationwide registry study of 33,160 patients . Knee Surg Sports Traumatol Arthrosc . 2016 ; 24 ( 12 ): 3730 – 3737 . Crossref PubMed Google Scholar
142. Houshian S , Tscherning T , Riegels-Nielsen P . The epidemiology of Achilles tendon rupture in a Danish county . Injury . 1998 ; 29 ( 9 ): 651 – 654 . Crossref PubMed Google Scholar
143. Huttunen TT , Kannus P , Rolf C , Felländer-Tsai L , Mattila VM . Acute achilles tendon ruptures: incidence of injury and surgery in Sweden between 2001 and 2012 . Am J Sports Med . 2014 ; 42 ( 10 ): 2419 – 2423 . Crossref PubMed Google Scholar
144. Maffulli N , Waterston SW , Squair J , Reaper J , Douglas AS . Changing incidence of Achilles tendon rupture in Scotland: a 15-year study . Clin J Sport Med . 1999 ; 9 ( 3 ): 157 – 160 . Crossref PubMed Google Scholar
145. Nyyssönen T , Lüthje P . Achilles tendon ruptures in South-East Finland between 1986-1996, with special reference to epidemiology, complications of surgery and hospital costs . Ann Chir Gynaecol . 2000 ; 89 ( 1 ): 53 – 57 . PubMed Google Scholar
146. Sheth U , Wasserstein D , Jenkinson R , Moineddin R , Kreder H , Jaglal SB . The epidemiology and trends in management of acute Achilles tendon ruptures in Ontario, Canada: a population-based study of 27 607 patients . Bone Joint J . 2017 ; 99-B ( 1 ): 78 – 86 . Crossref PubMed Google Scholar
147. Suchak AA , Bostick G , Reid D , Blitz S , Jomha N . The incidence of Achilles tendon ruptures in Edmonton, Canada . Foot Ankle Int . 2005 ; 26 ( 11 ): 932 – 936 . Crossref PubMed Google Scholar
148. Leppilahti J , Puranen J , Orava S . Incidence of Achilles tendon rupture . Acta Orthop Scand . 1996 ; 67 ( 3 ): 277 – 279 . Crossref PubMed Google Scholar
149. Nyyssönen T , Lüthje P , Kröger H . The increasing incidence and difference in sex distribution of Achilles tendon rupture in Finland in 1987-1999 . Scand J Surg . 2008 ; 97 ( 3 ): 272 – 275 . Crossref PubMed Google Scholar
150. Lantto I , Heikkinen J , Flinkkilä T , Ohtonen P , Leppilahti J . Epidemiology of Achilles tendon ruptures: increasing incidence over a 33-year period . Scand J Med Sci Sports . 2015 ; 25 ( 1 ): e133 – 8 . Crossref PubMed Google Scholar
151. Sanders TL , Maradit Kremers H , Bryan AJ , et al. Incidence of anterior cruciate ligament tears and reconstruction: A 21-year population-based study . Am J Sports Med . 2016 ; 44 ( 6 ): 1502 – 1507 . Crossref PubMed Google Scholar
152. Gianotti SM , Marshall SW , Hume PA , Bunt L . Incidence of anterior cruciate ligament injury and other knee ligament injuries: a national population-based study . J Sci Med Sport . 2009 ; 12 ( 6 ): 622 – 627 . Crossref PubMed Google Scholar
153. Kelly MP , Perkinson SG , Ablove RH , Tueting JL . Distal biceps tendon ruptures: An epidemiological analysis using a large population database . Am J Sports Med . 2015 ; 43 ( 8 ): 2012 – 2017 . Crossref PubMed Google Scholar
154. Launonen AP , Huttunen TT , Lepola V , et al. Distal biceps tendon rupture surgery: Changing incidence in Finnish and Swedish men between 1997 and 2016 . J Hand Surg Am . 2020 ; 45 ( 11 ): 1022 – 1028 . Crossref PubMed Google Scholar
155. Safran MR , Graham SM . Distal biceps tendon ruptures: incidence, demographics, and the effect of smoking . Clin Orthop Relat Res . 1976 ; 404 : 275 – 283 . PubMed Google Scholar
156. de Jong JP , Nguyen JT , Sonnema AJM , Nguyen EC , Amadio PC , Moran SL . The incidence of acute traumatic tendon injuries in the hand and wrist: a 10-year population-based study . Clin Orthop Surg . 2014 ; 6 ( 2 ): 196 – 202 . Crossref PubMed Google Scholar
157. Manninen M , Karjalainen T , Määttä J , Flinkkilä T . Epidemiology of flexor tendon injuries of the hand in a Northern Finnish population . Scand J Surg . 2017 ; 106 ( 3 ): 278 – 282 . Crossref PubMed Google Scholar
158. Owesen C , Sandven-Thrane S , Lind M , Forssblad M , Granan L-P , Årøen A . Epidemiology of surgically treated posterior cruciate ligament injuries in Scandinavia . Knee Surg Sports Traumatol Arthrosc . 2017 ; 25 ( 8 ): 2384 – 2391 . Crossref PubMed Google Scholar
159. Kannus P , Parkkari J , Koskinen S , et al. Fall-induced injuries and deaths among older adults . JAMA . 1999 ; 281 ( 20 ): 1895 – 1899 . Crossref PubMed Google Scholar
160. Korhonen N , Kannus P , Niemi S , Parkkari J , Sievänen H . Rapid increase in fall-induced cervical spine injuries among older Finnish adults between 1970 and 2011 . Age Ageing . 2014 ; 43 ( 4 ): 567 – 571 . Crossref PubMed Google Scholar
161. Kannus P , Niemi S , Palvanen M , Parkkari J . Continuously increasing number and incidence of fall-induced, fracture-associated, spinal cord injuries in elderly persons . Arch Intern Med . 2000 ; 160 ( 14 ): 2145 – 2149 . Crossref PubMed Google Scholar
162. Kannus P , Palvanen M , Niemi S , Parkkari J , Järvinen M . Stabilizing incidence of low-trauma ankle fractures in elderly people Finnish statistics in 1970-2006 and prediction for the future . Bone . 2008 ; 43 ( 2 ): 340 – 342 . Crossref PubMed Google Scholar
163. Stødle AH , Hvaal KH , Enger M , Brøgger H , Madsen JE , Ellingsen Husebye E . Lisfranc injuries: Incidence, mechanisms of injury and predictors of instability . Foot Ankle Surg . 2020 ; 26 ( 5 ): 535 – 540 . Crossref PubMed Google Scholar
Author contributions
V. Ponkilainen: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Visualization.
I. Kuitunen: Conceptualization, Data curation, Investigation, Methodology, Writing – review & editing.
R. Liukkonen: Data curation, Investigation, Methodology, Writing – review & editing.
M. Vaajala: Data curation, Investigation, Methodology, Writing – review & editing.
A. Reito: Conceptualization, Investigation, Methodology, Writing – review & editing.
M. Uimonen: Conceptualization, Data curation, Investigation, Methodology, Writing – review & editing.
Funding statement
The authors received no financial or material support for the research, authorship, and/or publication of this article.
ICMJE COI statement
The authors received no financial support for this study. The authors declare to not have any competing interests.
Data sharing
The complete data are provided in the Supplementary Material, and the complete Risk of Bias assessment can be requested from the authors.
Ethical review statement
Registration Prospero ID: CRD42021268621. Details of the protocol for this systematic review were registered on Prospero (ID: CRD42021268621) and can be accessed at: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021268621.
Open access funding
The authors report that they received open access funding for their manuscript from Finnish State Research Funding (Grant ID: B2105).
Supplementary material
Tables showing complete search algorithms for each search conducted in the study and the results of meta-regression analysis adjusted by the last year of data included in each study; and a figure showing PRISMA flowcharts for the screening process of all injuries.
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