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根据AMSTAR和PRISMA清单对麻醉学文献中发表的Meta分析进行报告和方法学评估:一项初步研究。

Reporting and methodologic evaluation of meta-analyses published in the anesthesia literature according to AMSTAR and PRISMA checklists: a preliminary study.

作者信息

Oh Jae Hoon, Shin Woo Jong, Park Suin, Chung Jae Soon

机构信息

Department of Anesthesiology and Pain Medicine, Hanyang University College of Medicine, Seoul, Korea.

出版信息

Korean J Anesthesiol. 2017 Aug;70(4):446-455. doi: 10.4097/kjae.2017.70.4.446. Epub 2017 Apr 21.

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 (), , and () 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 (; 75, ; 43, ; 3). The number of studies published and percentage of 'Yes' responses for meta-analysis articles published after the year 2010 was significantly increased compared to that of studies published before the year 2009 (P = 0.014 for ). 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 (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 by applying the PRISMA checklist. Participation of a statistician as an author improved the reporting quality of the meta-analysis.

摘要

背景

尽管麻醉领域中使用荟萃分析技术的研究数量众多,但近期关于荟萃分析方法学质量的报道却很少。本研究的目的是根据多系统评价评估(AMSTAR)和系统评价与荟萃分析的首选报告项目(PRISMA)指南,评估麻醉文献中荟萃分析和系统评价的质量。

方法

进行检索以识别2004年1月1日至2016年11月31日期间在《》《》和《》中发表的所有荟萃分析。我们旨在将AMSTAR和PRISMA清单应用于所有已发表的荟萃分析。

结果

我们在2004年1月至2016年11月底的麻醉文献中识别出121项荟萃分析(《》75项;《》43项;《》3项)。与2009年之前发表的研究相比,2010年之后发表的荟萃分析文章的发表研究数量和“是”回答的百分比显著增加(《》P = 0.014)。在整个麻醉文献中,统计学家作为作者参与在统计学上提高了PRISMA项目的平均得分(P = 0.004),尤其是在《》中(P = 0.003)。

结论

尽管麻醉文献中荟萃分析的报告和方法学差异不大,但通过应用PRISMA清单,在《》中观察到报告质量有显著提高。统计学家作为作者参与提高了荟萃分析的报告质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bb6/5548948/400647d04adc/kjae-70-446-g001.jpg

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