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The Bone & Joint Journal
Vol. 103-B, Issue 12 | Pages 1745 - 1753
1 Dec 2021
Walinga AB Stornebrink T Langerhuizen DWG Struijs PAA Kerkhoffs GMMJ Janssen SJ

Aims

This study aimed to answer two questions: what are the best diagnostic methods for diagnosing bacterial arthritis of a native joint?; and what are the most commonly used definitions for bacterial arthritis of a native joint?

Methods

We performed a search of PubMed, Embase, and Cochrane libraries for relevant studies published between January 1980 and April 2020. Of 3,209 identified studies, we included 27 after full screening. Sensitivity, specificity, area under the curve, and Youden index of diagnostic tests were extracted from included studies. We grouped test characteristics per diagnostic modality. We extracted the definitions used to establish a definitive diagnosis of bacterial arthritis of a native joint per study.


Bone & Joint Research
Vol. 9, Issue 10 | Pages 701 - 708
1 Oct 2020
Chen X Li H Zhu S Wang Y Qian W

Aims

The diagnosis of periprosthetic joint infection (PJI) has always been challenging. Recently, D-dimer has become a promising biomarker in diagnosing PJI. However, there is controversy regarding its diagnostic value. We aim to investigate the diagnostic value of D-dimer in comparison to ESR and CRP.

Methods

PubMed, Embase, and the Cochrane Library were searched in February 2020 to identify articles reporting on the diagnostic value of D-dimer on PJI. Pooled analysis was conducted to investigate the diagnostic value of D-dimer, CRP, and ESR.


The Bone & Joint Journal
Vol. 100-B, Issue 12 | Pages 1542 - 1550
1 Dec 2018
van den Kieboom J Bosch P J. Plate JD A. IJpma FF Kuehl R McNally MA Metsemakers W M. Govaert GA

Aims

To assess the diagnostic value of C-reactive protein (CRP), leucocyte count (LC), and erythrocyte sedimentation rate (ESR) in late fracture-related infection (FRI).

Materials and Methods

PubMed, Embase, and Cochrane databases were searched focusing on the diagnostic value of CRP, LC, and ESR in late FRI. Sensitivity and specificity combinations were extracted for each marker. Average estimates were obtained using bivariate mixed effects models.