Sichuan jingshen weisheng (Apr 2022)

Methodological quality assessment of systematic reviews or Meta-analyses of intervention randomized controlled trials published in the Sichuan Mental Health

  • Che Peng,
  • Hu Jun,
  • Tang Xueli,
  • Huang Ke,
  • Li Linguo,
  • Yin Chunyan

DOI
https://doi.org/10.11886/scjsws20210804001
Journal volume & issue
Vol. 35, no. 2
pp. 188 – 193

Abstract

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ObjectiveTo evaluate the methodological quality of systematic review / Meta analysis (SR/MA) of intervention randomized controlled trial (RCT) published in the Sichuan Mental Health.MethodsThe literature databases such as Wanfang Data, China National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodical (VIP) and Chinese Biomedical Literature Database (CBM) were searched for the SRs/MAs of intervention RCTs published in the Sichuan Mental Health from the initial issue to the issue published on 31 June 2021. Then the methodological quality of eligible SRs/MAs were assessed using A Measurement Tool to Assess systematic Reviews 2 (AMSTAR 2).ResultsThe literature search yielded 24 full-text articles, and the mean AMSTAR 2 score of the included SRs/MAs was (5.21±3.63) with a range from 1 to 11. The total AMSTAR 2 score for SRs/MAs showed difference in terms of the publication date prior to or later than the publication of AMSTAR-2 tool (t=-5.499), number of authors ≤ 2 or ≥ 3 (t=-6.736), with or without funding support (t=3.329) and author unit nature (F=7.827), with statistical significance (P<0.01). All selected studies had deficiencies on explicit statement of a priori design and registrations, list of excluded studies and reasons for exclusion, sources of funding for the research in systematic review, potential conflicts of interest statement, and funding information of the systematic review.ConclusionThe methodological quality of SRs/MAs of intervention RCTs published in the Sichuan Mental Health varies widely, After the release of AMSTAR 2, the methodological quality has improved, but the report still needs to be further standardized to provide high-quality evidence-based evidence.

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