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Prospective registration, bias risk and outcome-reporting bias in randomised clinical trials of traditional Chinese medicine: an empirical methodological study

BACKGROUND: Clinical trials on Traditional Chinese Medicine (TCM) should be registered in a publicly accessible international trial register and report on all outcomes. We systematically assessed and evaluated TCM trials in registries with their subsequent publications. OBJECTIVE: To describe the ch...

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Autores principales: Liu, Jian-Ping, Han, Mei, Li, Xin-Xue, Mu, Yu-Jie, Lewith, George, Wang, Yu-Yi, Witt, Claudia M, Yang, Guo-Yan, Manheimer, Eric, Snellingen, Torkel, Berman, Brian, Gluud, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3717464/
https://www.ncbi.nlm.nih.gov/pubmed/23864210
http://dx.doi.org/10.1136/bmjopen-2013-002968
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author Liu, Jian-Ping
Han, Mei
Li, Xin-Xue
Mu, Yu-Jie
Lewith, George
Wang, Yu-Yi
Witt, Claudia M
Yang, Guo-Yan
Manheimer, Eric
Snellingen, Torkel
Berman, Brian
Gluud, Christian
author_facet Liu, Jian-Ping
Han, Mei
Li, Xin-Xue
Mu, Yu-Jie
Lewith, George
Wang, Yu-Yi
Witt, Claudia M
Yang, Guo-Yan
Manheimer, Eric
Snellingen, Torkel
Berman, Brian
Gluud, Christian
author_sort Liu, Jian-Ping
collection PubMed
description BACKGROUND: Clinical trials on Traditional Chinese Medicine (TCM) should be registered in a publicly accessible international trial register and report on all outcomes. We systematically assessed and evaluated TCM trials in registries with their subsequent publications. OBJECTIVE: To describe the characteristics of TCM trials, estimate bias risk and outcome-reporting bias in clinical trials. DATA SOURCES AND STUDY SELECTION: Fifteen trial registries were searched from their inception to July 2012 to identify randomised trials on TCM including Chinese herbs, acupuncture and/or moxibustion, cupping, tuina, qigong, etc. DATA EXTRACTION: We extracted data including TCM specialty and treated disease/conditions from the registries and searched for subsequent publications in PubMed and Chinese databases. We compared information in the registries of completed trials with any publications focusing on study design, sample size, randomisation, bias risk including reporting bias from the register protocol. RESULTS: 1096 registered randomised trials were identified evaluating TCM, of which 505 were completed studies (46.1%). The most frequent conditions were pain (13.3%), musculoskeletal (11.7%), nervous (8.7%), digestive (7.1%), circulatory (6.5%), respiratory (6.3%), mental and behavioural disorders (6.2%) and cancer (6.0%). The trial register data identified parallel, phase II/III randomised trials with sample size estimations and blinding, but limited information about randomisation (sequence generation and allocation concealment). Comparing trial registration data of 115 completed trials (22.8%) with their subsequent 136 publications, inconsistencies were identified in one or more of the following: sample size (11%), outcome assessor blinding (37.5%), primary outcomes (29%) and safety (28%) reporting. CONCLUSIONS: Increasing numbers of clinical trials investigating a variety of TCM interventions have been registered in international trial registries. The study design of registered TCM trials has improved in estimating sample size, use of blinding and placebos. However, selective outcome reporting is widespread and similar to conventional medicine and therefore study conclusions should be interpreted with caution.
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spelling pubmed-37174642013-07-22 Prospective registration, bias risk and outcome-reporting bias in randomised clinical trials of traditional Chinese medicine: an empirical methodological study Liu, Jian-Ping Han, Mei Li, Xin-Xue Mu, Yu-Jie Lewith, George Wang, Yu-Yi Witt, Claudia M Yang, Guo-Yan Manheimer, Eric Snellingen, Torkel Berman, Brian Gluud, Christian BMJ Open Complementary Medicine BACKGROUND: Clinical trials on Traditional Chinese Medicine (TCM) should be registered in a publicly accessible international trial register and report on all outcomes. We systematically assessed and evaluated TCM trials in registries with their subsequent publications. OBJECTIVE: To describe the characteristics of TCM trials, estimate bias risk and outcome-reporting bias in clinical trials. DATA SOURCES AND STUDY SELECTION: Fifteen trial registries were searched from their inception to July 2012 to identify randomised trials on TCM including Chinese herbs, acupuncture and/or moxibustion, cupping, tuina, qigong, etc. DATA EXTRACTION: We extracted data including TCM specialty and treated disease/conditions from the registries and searched for subsequent publications in PubMed and Chinese databases. We compared information in the registries of completed trials with any publications focusing on study design, sample size, randomisation, bias risk including reporting bias from the register protocol. RESULTS: 1096 registered randomised trials were identified evaluating TCM, of which 505 were completed studies (46.1%). The most frequent conditions were pain (13.3%), musculoskeletal (11.7%), nervous (8.7%), digestive (7.1%), circulatory (6.5%), respiratory (6.3%), mental and behavioural disorders (6.2%) and cancer (6.0%). The trial register data identified parallel, phase II/III randomised trials with sample size estimations and blinding, but limited information about randomisation (sequence generation and allocation concealment). Comparing trial registration data of 115 completed trials (22.8%) with their subsequent 136 publications, inconsistencies were identified in one or more of the following: sample size (11%), outcome assessor blinding (37.5%), primary outcomes (29%) and safety (28%) reporting. CONCLUSIONS: Increasing numbers of clinical trials investigating a variety of TCM interventions have been registered in international trial registries. The study design of registered TCM trials has improved in estimating sample size, use of blinding and placebos. However, selective outcome reporting is widespread and similar to conventional medicine and therefore study conclusions should be interpreted with caution. BMJ Publishing Group 2013-07-16 /pmc/articles/PMC3717464/ /pubmed/23864210 http://dx.doi.org/10.1136/bmjopen-2013-002968 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Complementary Medicine
Liu, Jian-Ping
Han, Mei
Li, Xin-Xue
Mu, Yu-Jie
Lewith, George
Wang, Yu-Yi
Witt, Claudia M
Yang, Guo-Yan
Manheimer, Eric
Snellingen, Torkel
Berman, Brian
Gluud, Christian
Prospective registration, bias risk and outcome-reporting bias in randomised clinical trials of traditional Chinese medicine: an empirical methodological study
title Prospective registration, bias risk and outcome-reporting bias in randomised clinical trials of traditional Chinese medicine: an empirical methodological study
title_full Prospective registration, bias risk and outcome-reporting bias in randomised clinical trials of traditional Chinese medicine: an empirical methodological study
title_fullStr Prospective registration, bias risk and outcome-reporting bias in randomised clinical trials of traditional Chinese medicine: an empirical methodological study
title_full_unstemmed Prospective registration, bias risk and outcome-reporting bias in randomised clinical trials of traditional Chinese medicine: an empirical methodological study
title_short Prospective registration, bias risk and outcome-reporting bias in randomised clinical trials of traditional Chinese medicine: an empirical methodological study
title_sort prospective registration, bias risk and outcome-reporting bias in randomised clinical trials of traditional chinese medicine: an empirical methodological study
topic Complementary Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3717464/
https://www.ncbi.nlm.nih.gov/pubmed/23864210
http://dx.doi.org/10.1136/bmjopen-2013-002968
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