Reporting Quality and Statistical Analysis of Published Dose-response Meta-Analyses was Suboptimal: a Cross-sectional Literature Survey

Jiang, Qingqing, Liu, Qiaoyan, Chen, Fan, Zeng, Xiantao, Song, Fujian, Lu, Zuxun and Cao, Shiyi (2019) Reporting Quality and Statistical Analysis of Published Dose-response Meta-Analyses was Suboptimal: a Cross-sectional Literature Survey. Journal of Clinical Epidemiology, 115. pp. 133-140. ISSN 0895-4356

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Abstract

Objective To investigate the characteristics, methodological quality, and reporting of statistical analyses of published dose-response meta-analyses (DRMAs). Study Design and Setting We searched PubMed to identify DRMAs published in 2017. The reporting characteristics and methodological qualities were assessed by the PRISMA (27 items) and AMSTAR (11 items) respectively. We also summarized the reporting of statistical analyses of included DRMAs. Results We identified 93 DRMAs, most of which (59/93) were conducted by Chinese researchers, the main outcome was the incidence of cancers. Of the PRISMA and AMSTAR items, twenty and five were well complied (80% or more) respectively. The compliance rates of several PRISMA checklist items, such as structured summary, objectives, protocol and registration, and funding, were less than 50%. There were no criteria to estimate the doses for the open-ended intervals of exposure or intervention doses. When the restricted cubic splines were used to fit nonlinear dose-response relationships, there were also no criteria to determine the fixed knots. Conclusion The adherence to the methodological items of reporting guidelines and statistical analysis of published DRMAs were suboptimal. Development of reporting guidelines to assist authors in writing and readers in critically appraising the reports of DRMAs is timely.

Item Type: Article
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
Depositing User: LivePure Connector
Date Deposited: 25 Jul 2019 02:42
Last Modified: 11 Jun 2020 01:12
URI: https://ueaeprints.uea.ac.uk/id/eprint/71804
DOI: 10.1016/j.jclinepi.2019.07.008

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