Abstract
ObjectiveTo evaluate and compare the reporting quality of observational systematic reviews and meta-analyses (OSRMA) published in Chinese and English-language social science journals using the Meta-analyses Of Observational Studies in Epidemiology (MOOSE) guideline. Study design and settingWe searched the Social Science Core Index (SSCI) via Web of Science and the Chinese Social Science Core Index (CSSCI) via China National Knowledge Infrastructure (CNKI) databases for OSRMAs published from 2012 to 2022 (before December 2022). The process of literature search, selection, and data extraction were performed double blind. ResultsWe identified 634 OSRMAs, of which 349 were in English-language journals and 285 in Chinese-language journals. The mean reporting completeness rate was 54.6%, and reviews in English had higher reporting completeness than those in Chinese (55.2% vs. 53.9%). All the reviews reported well on background, method, and conclusion, with average reporting rates of 68.1%, 65.2%, and 88.8%, respectively. However, the reporting of search strategy was ignored, with an average rate of 42.9% for reviews in English and 25.8% for reviews in Chinese, especially on the qualifications of searchers, effort to include all available studies, search-software used, handling unpublished studies, and contact with authors. The reporting transparency of these reviews was statistically significantly influenced by multiple review factors, including the language of journals, year of publication, the number of authors, the reporting guideline followed, and the declaration of funding source. ConclusionOSRMAs in social science demonstrate low reporting quality, especially in Chinese-language journals. We suggest adapting the MOOSE guideline to the social science context and promoting its use among researchers and reviewers in this field.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
