Rationalising animal research synthesis in orthopaedic literature.

Autor: Tsikopoulos K; Orthopaedic Department, Harrogate and District Foundation Trust, Harrogate HG2 7SX, North Yorkshire, United Kingdom. kostastsikop@gmail.com., Sidiropoulos K; Orthopaedic Department, General Hospital of Serres, Serres 62120, Greece., Kitridis D; First Orthopedic Department of Aristotle University, G. Papanikolaou General Hospital, Thessaloniki 55210, Greece., Drago L; Laboratory of Clinical Microbiology, Department of Biochemical Sciences for Health, University of Milan, Milan 20164, Italy., Ebnezar R; Orthopaedic Department, Harrogate and District Foundation Trust, Harrogate HG2 7SX, North Yorkshire, United Kingdom., Lavalette D; Orthopaedic Department, Harrogate and District Foundation Trust, Harrogate HG2 7SX, North Yorkshire, United Kingdom.
Jazyk: angličtina
Zdroj: World journal of methodology [World J Methodol] 2021 May 20; Vol. 11 (3), pp. 75-80. Date of Electronic Publication: 2021 May 20 (Print Publication: 2021).
DOI: 10.5662/wjm.v11.i3.75
Abstrakt: Systematic reviews in orthopaedic literature are frequently criticised for offering inconsistent conclusions. On top of that, high-quality randomized human evidence on crucial orthopaedic topics is more often than not lacking. In this situation, pooling animal literature could offer an excellent insight into unanswered critical clinical questions, thus potentially improving healthcare. In this paper, we sought to present the rationale and basic principles governing meta-analysis of animal research. More specifically, we elaborated on the available evidence-based methods to achieve a scientifically sound animal data synthesis. In addition, we discussed result interpretation, strength of recommendations and clinical implications based on the results of these meta-analytic modalities.
Competing Interests: Conflict-of-interest statement: The authors declare that they have no conflict of interest.
(©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.)
Databáze: MEDLINE