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Assessing the methodological and reporting quality of network meta-analyses in Chinese medicine

BACKGROUND: An increasing number of network meta-analyses (NMAs) in traditional Chinese medicine (TCM) have been published recently, but the quality of them was lack of assessment. This study aims to evaluate the methodological and reporting quality of NMAs in TCM. METHODS: Six electronic databases,...

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Autores principales: Yang, Fengwen, Wang, Hucheng, Zou, Jiahan, Li, Xuemei, Jin, Xinyao, Cao, Yawen, Tian, Jinhui, Ge, Long, Lee, Myeong Soo, Zhang, Junhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392701/
https://www.ncbi.nlm.nih.gov/pubmed/30461607
http://dx.doi.org/10.1097/MD.0000000000013052
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author Yang, Fengwen
Wang, Hucheng
Zou, Jiahan
Li, Xuemei
Jin, Xinyao
Cao, Yawen
Tian, Jinhui
Ge, Long
Lee, Myeong Soo
Zhang, Junhua
author_facet Yang, Fengwen
Wang, Hucheng
Zou, Jiahan
Li, Xuemei
Jin, Xinyao
Cao, Yawen
Tian, Jinhui
Ge, Long
Lee, Myeong Soo
Zhang, Junhua
author_sort Yang, Fengwen
collection PubMed
description BACKGROUND: An increasing number of network meta-analyses (NMAs) in traditional Chinese medicine (TCM) have been published recently, but the quality of them was lack of assessment. This study aims to evaluate the methodological and reporting quality of NMAs in TCM. METHODS: Six electronic databases, including PubMed, the Cochrane Central Register of Controlled Trials (CENTRAL), Embase, China National Knowledge Infrastructure (CNKI), Wanfang and Chinese Biomedical Literature Database (CBM) from inception to January 2018, were searched. NMAs of TCM were included. A measurement tool to assess the methodological quality of systematic reviews (AMSTAR) and the PRISMA Extension Statement for Reporting of Systematic Reviews Incorporating Network Meta-analyses of Health Care Interventions (PRISMA-NMA) were used to assess the methodological and reporting quality of the included NMAs. RESULTS: A total of 40 NMAs, including 2535 randomized controlled trials (RCTs), were included. They were published between December 2012 and November 2017. The median score and interquartile range of methodological and reporting quality was 7 (6–8) and 22 (19.1–27.1). Serious methodological flaws existed in the following aspects: the status of publication (22.5%), a list of studies provided (0%), assessment of publication bias (37.5%), and conflicts of interest (12.5%). Several items need to be improved in reporting, especially for Protocol and registration (2.5%), Data items (22.5%), Risk of bias across studies (Methods section) (37.5%), Results of individual studies (27.5%), Risk of bias across studies (Results section) (40%), Results of additional analyses (35%), and Funding (15%). CONCLUSIONS: The methodological and reporting quality of NMAs in TCM is moderate. Identified shortcomings of published NMAs should be taken into consideration in further trainings of authors and editors of NMAs in TCM. Future researchers should be encouraged to apply PRISMA-NMA, and a recognized tool for the assessment of NMA methodology was wanted.
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spelling pubmed-63927012019-03-15 Assessing the methodological and reporting quality of network meta-analyses in Chinese medicine Yang, Fengwen Wang, Hucheng Zou, Jiahan Li, Xuemei Jin, Xinyao Cao, Yawen Tian, Jinhui Ge, Long Lee, Myeong Soo Zhang, Junhua Medicine (Baltimore) Research Article BACKGROUND: An increasing number of network meta-analyses (NMAs) in traditional Chinese medicine (TCM) have been published recently, but the quality of them was lack of assessment. This study aims to evaluate the methodological and reporting quality of NMAs in TCM. METHODS: Six electronic databases, including PubMed, the Cochrane Central Register of Controlled Trials (CENTRAL), Embase, China National Knowledge Infrastructure (CNKI), Wanfang and Chinese Biomedical Literature Database (CBM) from inception to January 2018, were searched. NMAs of TCM were included. A measurement tool to assess the methodological quality of systematic reviews (AMSTAR) and the PRISMA Extension Statement for Reporting of Systematic Reviews Incorporating Network Meta-analyses of Health Care Interventions (PRISMA-NMA) were used to assess the methodological and reporting quality of the included NMAs. RESULTS: A total of 40 NMAs, including 2535 randomized controlled trials (RCTs), were included. They were published between December 2012 and November 2017. The median score and interquartile range of methodological and reporting quality was 7 (6–8) and 22 (19.1–27.1). Serious methodological flaws existed in the following aspects: the status of publication (22.5%), a list of studies provided (0%), assessment of publication bias (37.5%), and conflicts of interest (12.5%). Several items need to be improved in reporting, especially for Protocol and registration (2.5%), Data items (22.5%), Risk of bias across studies (Methods section) (37.5%), Results of individual studies (27.5%), Risk of bias across studies (Results section) (40%), Results of additional analyses (35%), and Funding (15%). CONCLUSIONS: The methodological and reporting quality of NMAs in TCM is moderate. Identified shortcomings of published NMAs should be taken into consideration in further trainings of authors and editors of NMAs in TCM. Future researchers should be encouraged to apply PRISMA-NMA, and a recognized tool for the assessment of NMA methodology was wanted. Wolters Kluwer Health 2018-11-21 /pmc/articles/PMC6392701/ /pubmed/30461607 http://dx.doi.org/10.1097/MD.0000000000013052 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle Research Article
Yang, Fengwen
Wang, Hucheng
Zou, Jiahan
Li, Xuemei
Jin, Xinyao
Cao, Yawen
Tian, Jinhui
Ge, Long
Lee, Myeong Soo
Zhang, Junhua
Assessing the methodological and reporting quality of network meta-analyses in Chinese medicine
title Assessing the methodological and reporting quality of network meta-analyses in Chinese medicine
title_full Assessing the methodological and reporting quality of network meta-analyses in Chinese medicine
title_fullStr Assessing the methodological and reporting quality of network meta-analyses in Chinese medicine
title_full_unstemmed Assessing the methodological and reporting quality of network meta-analyses in Chinese medicine
title_short Assessing the methodological and reporting quality of network meta-analyses in Chinese medicine
title_sort assessing the methodological and reporting quality of network meta-analyses in chinese medicine
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392701/
https://www.ncbi.nlm.nih.gov/pubmed/30461607
http://dx.doi.org/10.1097/MD.0000000000013052
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