Literature DB >> 31326542

Reporting quality and statistical analysis of published dose-response meta-analyses was suboptimal: a cross-sectional literature survey.

Qingqing Jiang1, Qiaoyan Liu2, Fan Chen1, Xiantao Zeng3, Fujian Song4, Zuxun Lu5, Shiyi Cao6.   

Abstract

OBJECTIVES: The objective of this study was 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 and 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.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AMSTAR; Dose-response meta-analyses; Methodological quality; PRISMA; Reporting characteristics; Statistical analysis

Mesh:

Year:  2019        PMID: 31326542     DOI: 10.1016/j.jclinepi.2019.07.008

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  2 in total

1.  Statistical analyses and quality of individual participant data network meta-analyses were suboptimal: a cross-sectional study.

Authors:  Ya Gao; Shuzhen Shi; Muyang Li; Xinyue Luo; Ming Liu; Kelu Yang; Junhua Zhang; Fujian Song; Jinhui Tian
Journal:  BMC Med       Date:  2020-06-01       Impact factor: 8.775

2.  Association Between Alcohol Consumption and Risk of Bladder Cancer: A Dose-Response Meta-Analysis of Prospective Cohort Studies.

Authors:  Yongfeng Lao; Xiaolong Li; Lijuan He; Xin Guan; Rongxin Li; Yanan Wang; Yanyou Li; Yunchang Wang; Xu Li; Shuai Liu; Zhilong Dong
Journal:  Front Oncol       Date:  2021-09-15       Impact factor: 6.244

  2 in total

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