Cargando…

Improving the quality of reporting of systematic reviews of dose-response meta-analyses: a cross-sectional survey

BACKGROUND: Dose-response meta-analysis (DRMA) is a useful tool to investigate potential dose-response relationship between certain exposure or intervention and the outcome of interest. A large number of DRMAs have been published in the past several years. However, the standard of reporting for such...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Chang, Liu, Tong-Zu, Jia, Peng-Li, Liu, Yu, Li, Ling, Cheng, Liang-Liang, Sun, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267919/
https://www.ncbi.nlm.nih.gov/pubmed/30497389
http://dx.doi.org/10.1186/s12874-018-0623-6
_version_ 1783376179251642368
author Xu, Chang
Liu, Tong-Zu
Jia, Peng-Li
Liu, Yu
Li, Ling
Cheng, Liang-Liang
Sun, Xin
author_facet Xu, Chang
Liu, Tong-Zu
Jia, Peng-Li
Liu, Yu
Li, Ling
Cheng, Liang-Liang
Sun, Xin
author_sort Xu, Chang
collection PubMed
description BACKGROUND: Dose-response meta-analysis (DRMA) is a useful tool to investigate potential dose-response relationship between certain exposure or intervention and the outcome of interest. A large number of DRMAs have been published in the past several years. However, the standard of reporting for such studies is not known. METHODS: Medline, Embase, and Wiley Library were searched for systematic reviews with DRMAs (SR-DRMAs) published from January 2011 to July 2017. We used the combination of PRISMA and MOOSE statements, containing 33 items, to assess the reporting of included SR-DRMAs. The adherence of reporting was defined as the proportion of SR-DRMAs meeting the reporting requirement of an item. We explored the association between five pre-specified variables with the total score of reporting on both fully as well as each domain of the checklist. RESULTS: In total, 529 SR-DRMAs were eligible. Ten out of 33 items were under reported, and this mainly refers to the methods domain: only a small proportion of SR-DRMAs stated whether a review protocol existed (45, 8.5%); clarified the qualifications of searchers (1.7%); presented full electronic search strategy (25.9%); described any effort to include all available studies (22.9%), described methods for languages other than English (27.4%), and stated the process for selecting studies (20.2%). Multiple regression analysis suggested that studies with more authors (regression coefficient = 0.78; 95% CI: 0.35, 1.20; P <  0.001), published more recently (regression coefficient = 0.38; 95% CI: 0.28 to 0.47; trend P <  0.001), used reporting guideline (regression coefficient = 0.98; 95% CI: 0.68 to 1.32; P <  0.001), and involvement of methodologist (regression coefficient = 0.86; 95% CI: 0.42 to 1.32; P <  0.001) were associated with higher score of reporting. Further regression suggested that the improvement on the quality mainly concentrated on the methods and results domains. CONCLUSIONS: The reporting of SR-DRMAs needs to be further improved, particularly in the issues refer to the methods. The quality of reporting may improve when involving more authors and methodologists and employing any reporting guidelines. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-018-0623-6) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6267919
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-62679192018-12-05 Improving the quality of reporting of systematic reviews of dose-response meta-analyses: a cross-sectional survey Xu, Chang Liu, Tong-Zu Jia, Peng-Li Liu, Yu Li, Ling Cheng, Liang-Liang Sun, Xin BMC Med Res Methodol Research Article BACKGROUND: Dose-response meta-analysis (DRMA) is a useful tool to investigate potential dose-response relationship between certain exposure or intervention and the outcome of interest. A large number of DRMAs have been published in the past several years. However, the standard of reporting for such studies is not known. METHODS: Medline, Embase, and Wiley Library were searched for systematic reviews with DRMAs (SR-DRMAs) published from January 2011 to July 2017. We used the combination of PRISMA and MOOSE statements, containing 33 items, to assess the reporting of included SR-DRMAs. The adherence of reporting was defined as the proportion of SR-DRMAs meeting the reporting requirement of an item. We explored the association between five pre-specified variables with the total score of reporting on both fully as well as each domain of the checklist. RESULTS: In total, 529 SR-DRMAs were eligible. Ten out of 33 items were under reported, and this mainly refers to the methods domain: only a small proportion of SR-DRMAs stated whether a review protocol existed (45, 8.5%); clarified the qualifications of searchers (1.7%); presented full electronic search strategy (25.9%); described any effort to include all available studies (22.9%), described methods for languages other than English (27.4%), and stated the process for selecting studies (20.2%). Multiple regression analysis suggested that studies with more authors (regression coefficient = 0.78; 95% CI: 0.35, 1.20; P <  0.001), published more recently (regression coefficient = 0.38; 95% CI: 0.28 to 0.47; trend P <  0.001), used reporting guideline (regression coefficient = 0.98; 95% CI: 0.68 to 1.32; P <  0.001), and involvement of methodologist (regression coefficient = 0.86; 95% CI: 0.42 to 1.32; P <  0.001) were associated with higher score of reporting. Further regression suggested that the improvement on the quality mainly concentrated on the methods and results domains. CONCLUSIONS: The reporting of SR-DRMAs needs to be further improved, particularly in the issues refer to the methods. The quality of reporting may improve when involving more authors and methodologists and employing any reporting guidelines. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-018-0623-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-29 /pmc/articles/PMC6267919/ /pubmed/30497389 http://dx.doi.org/10.1186/s12874-018-0623-6 Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Xu, Chang
Liu, Tong-Zu
Jia, Peng-Li
Liu, Yu
Li, Ling
Cheng, Liang-Liang
Sun, Xin
Improving the quality of reporting of systematic reviews of dose-response meta-analyses: a cross-sectional survey
title Improving the quality of reporting of systematic reviews of dose-response meta-analyses: a cross-sectional survey
title_full Improving the quality of reporting of systematic reviews of dose-response meta-analyses: a cross-sectional survey
title_fullStr Improving the quality of reporting of systematic reviews of dose-response meta-analyses: a cross-sectional survey
title_full_unstemmed Improving the quality of reporting of systematic reviews of dose-response meta-analyses: a cross-sectional survey
title_short Improving the quality of reporting of systematic reviews of dose-response meta-analyses: a cross-sectional survey
title_sort improving the quality of reporting of systematic reviews of dose-response meta-analyses: a cross-sectional survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267919/
https://www.ncbi.nlm.nih.gov/pubmed/30497389
http://dx.doi.org/10.1186/s12874-018-0623-6
work_keys_str_mv AT xuchang improvingthequalityofreportingofsystematicreviewsofdoseresponsemetaanalysesacrosssectionalsurvey
AT liutongzu improvingthequalityofreportingofsystematicreviewsofdoseresponsemetaanalysesacrosssectionalsurvey
AT jiapengli improvingthequalityofreportingofsystematicreviewsofdoseresponsemetaanalysesacrosssectionalsurvey
AT liuyu improvingthequalityofreportingofsystematicreviewsofdoseresponsemetaanalysesacrosssectionalsurvey
AT liling improvingthequalityofreportingofsystematicreviewsofdoseresponsemetaanalysesacrosssectionalsurvey
AT chengliangliang improvingthequalityofreportingofsystematicreviewsofdoseresponsemetaanalysesacrosssectionalsurvey
AT sunxin improvingthequalityofreportingofsystematicreviewsofdoseresponsemetaanalysesacrosssectionalsurvey