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Reporting and methodologic evaluation of meta-analyses published in the anesthesia literature according to AMSTAR and PRISMA checklists: a preliminary study.
- Source :
- Korean Journal of Anesthesiology; Aug2017, Vol. 70 Issue 4, p446-455, 10p
- Publication Year :
- 2017
-
Abstract
- Background: There have been few recent reports on the methodological quality of meta-analysis, despite the enormous number of studies using meta-analytic techniques in the field of anesthesia. The purpose of this study was to evaluate the quality of meta-analyses and systematic reviews according to the Assessment of Multiple Systematic Reviews (AMSTAR) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines in the anesthesia literature. Methods: A search was conducted to identify all meta-analyses ever been published in the British Journal of Anaesthesia (BJA), Anaesthesia, and Korean Journal of Anesthesiology (KJA) between Jan. 01, 2004 and Nov. 31, 2016. We aimed to apply the AMSTAR and PRISMA checklists to all published meta-analyses. Results: We identified 121 meta-analyses in the anesthesia literature from January 2004 through the end of November 2016 (BJA; 75, Anaesthesia; 43, KJA; 3). The number of studies published and percentage of 'Yes' responses for metaanalysis articles published after the year 2010 was significantly increased compared to that of studies published before the year 2009 (P = 0.014 for Anaesthesia). In the anesthesia literature as a whole, participation of statisticians as authors statistically improved average scores of PRISMA items (P = 0.004) especially in the BJA (P = 0.003). Conclusions: Even though there is little variability in the reporting and methodology of meta-analysis in the anesthesia literature, significant quality improvement in the reporting was observed in the Anaesthesia by applying the PRISMA checklist. Participation of a statistician as an author improved the reporting quality of the meta-analysis. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANESTHESIOLOGY
ANESTHESIA research
META-analysis
SYSTEMATIC reviews
BIG data
Subjects
Details
- Language :
- English
- ISSN :
- 20056419
- Volume :
- 70
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Korean Journal of Anesthesiology
- Publication Type :
- Academic Journal
- Accession number :
- 124959007
- Full Text :
- https://doi.org/10.4097/kjae.2017.70.4.446