Reporting and methodological qualities of published surgical meta-analyses

Han Zhang, Jun Han, Ying Bo Zhu, Wan Yee Lau, Myron E. Schwartz, Guo Qiang Xie, Shu Yang Dai, Yi Nan Shen, Meng Chao Wu, Feng Shen, Tian Yang

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Objectives To assess the overall qualities of published surgical meta-analysis and predictive factors for high qualities. Study Design and Setting All meta-analyses pertinent to surgical procedures published in year 2013 were selected from PubMed and EMBASE. The characteristics of the included meta-analyses were collected, and their reporting and methodologic qualities were assessed by the PRISMA (27 items) and AMSTAR (11 items) checklists, respectively. Independent predictive factors associated with these two qualities were evaluated by univariate and multivariate analyses. Results Hundred ninety-seven meta-analyses representing 10 surgical subspecialties were included. The mean PRISMA and AMSTAR adherences (by items) were 22.2 ± 2.4 and 7.8 ± 1.2, respectively, and a positive linear correlation was found between them with an R2 of 0.793. Those meta-analyses conducted by the first authors having meta-analysis publication previously had significantly higher reporting and methodologic qualities than those who did not (P = 0.002 and P = 0.001). Meanwhile, there were also significant differences in these two qualities between studies published in Q1-ranked and (Q2 + Q3)-ranked journals as rated by the SCImago indicator (P < 0.001 and P < 0.001). On multivariate analyses, region of origin (non-Asia vs. Asia), publishing experience of first authors (ever vs. never), rank of publishing journals (Q1 vs. Q2 + Q3), and preregistration (presence vs. absence) were independently associated with superior reporting and methodologic qualities. Conclusions The reporting and methodologic qualities of current surgical meta-analyses remained suboptimal, and first authors' experience and ranking of publishing journals were independently associated with both qualities. Preregistration might be an effective measure to improve the quality of meta-analyses, which deserves more attention from future study conductors.

Original languageEnglish
Pages (from-to)4-16
Number of pages13
JournalJournal of Clinical Epidemiology
Volume70
DOIs
StatePublished - 1 Feb 2016

Keywords

  • AMSTAR
  • Meta-analysis
  • Methodologic quality
  • PRISMA
  • Reporting quality
  • Surgery

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