Epidemiology and Reporting Characteristics of Systematic Reviews in Orthopedic Journals: A Meta-Epidemiological Study
Year: 2023
Type: review
Abstract: Systematic reviews (SRs) with complete reporting or rigorous methods can lead to less biased recommendations and decisions. A comprehensive analysis of the epidemiological and reporting characteristics of SRs in orthopedics is lacking. We evaluated 360 SRs, including 165 and 195 published in orthopedic journals in 2012 and 2022. According to the established reporting guidelines, we examined these SRs for key epidemiological characteristics, including focus areas, type of meta-analysis (MA), and reporting characteristics. Most SRs (71%) were therapy-related, with a significant proportion originating from authors in the USA, UK, and China. Pairwise MA was performed on half of the SRs. The proportion of protocol registrations improved by 2022 but remained low (33%). Despite a formal declaration of adherence to the reporting guidelines (68%), they were often not used and reported enough. Only 10% of the studies used full search strategies, including trial registries. Publication bias assessments, subgroup analyses, and sensitivity analyses were not even planned. The risk of bias assessment improved in 2022; however, the certainty of the evidence remained largely unassessed (8%). The use and reporting of standard methods in orthopedic SRs have remained suboptimal. Thus, authors, peer reviewers, journal editors, and readers should criticize the results more.
Source: Journal of Clinical Medicine
DOI: 10.3390/jcm12227031
Institutions: Okayama University, Hashimoto Municipal Hospital, Scientific Research WorkS Peer Support Group, Hiroshima University Hospital, Akita Rosai Hospital, Fukuoka International University of Health and Welfare, Takasaki University of Health and Welfare, Nagano University of Health and Medicine, Kagoshima University, Kyoto University
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,892
OpenAlex ID: W4388637914
