Abstract
To create a comprehensive, user-friendly, database that facilitates selection of optimized animal models for fracture research. Preclinical testing using research animal models can expedite effective and safe interventions for clinical fracture patients but ethical considerations (e.g., adherence to 3R humane principles) and failure to meet critical review (e.g., clinical translation, reproducibility) currently complicate the model selection process.
English language publications (1980-2021) were derived from PubMed® using the search-term ‘bone and fracture and animal’. Clinical cases, reviews, and cadaver studies were excluded. Qualifying papers reporting use of fracture models had the following data transcribed: Author, journal, abstract, summary data, animal data, bone, focus (e.g., allograft) and model (e.g., articular fracture). Publications were quantitatively scored (1 star [very poor] – 5 stars [excellent]) for reproducibility, clinical translation and animal welfare.
4602 papers were derived from 677 journals from 177 publishers. Number of annual publications progressively increased from 18 (1980), peaking in 2015 (250) before substantially declining in 2020 (121) and 2021 (51). Descriptors (low to high) included 15 species (frog [1]–rat [1586]), 24 bones (phalanx [1]–femur [1646]), 134 research foci (bioprinting [4]–fracture healing [3533]), and 37 fracture models (avulsion [4]–diaphyseal [2113]). Percent of total publications scoring 1 or more stars for reproducibility, clinical translation and animal welfare ranged from: 1.0–5.8% (1 star), 5.9–30.6% (2 star), 21.3–42.8% (3 star), 19.2–44.4% (4 stars), and 1.3–26.7% (5 stars).
FRAMD provides a dedicated resource that enhances selection of animal models that pertain to researchers’ fracture focus while being clinically relevant, reproducible and humane. FRAMD will help improve scientific data, reduce unnecessary use of animals, heighten workplace efficiency, and reduce cost by avoiding ill-suited or outdated models. FRAMD may particularly benefit grant writers and organizations seeking ‘best-practice’ assurance (e.g., funding agencies, academic research societies, CROs).
