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The effect of berberine on insulin resistance in women with polycystic ovary syndrome: detailed statistical analysis plan (SAP) for a multicenter randomized controlled trial

BACKGROUND: Although Traditional Chinese Medicine (TCM) has been widely used in clinical settings, a major challenge that remains in TCM is to evaluate its efficacy scientifically. This randomized controlled trial aims to evaluate the efficacy and safety of berberine in the treatment of patients wit...

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Autores principales: Zhang, Ying, Sun, Jin, Zhang, Yun-Jiao, Chai, Qian-Yun, Zhang, Kang, Ma, Hong-Li, Wu, Xiao-Ke, Liu, Jian-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073878/
https://www.ncbi.nlm.nih.gov/pubmed/27769284
http://dx.doi.org/10.1186/s13063-016-1633-5
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author Zhang, Ying
Sun, Jin
Zhang, Yun-Jiao
Chai, Qian-Yun
Zhang, Kang
Ma, Hong-Li
Wu, Xiao-Ke
Liu, Jian-Ping
author_facet Zhang, Ying
Sun, Jin
Zhang, Yun-Jiao
Chai, Qian-Yun
Zhang, Kang
Ma, Hong-Li
Wu, Xiao-Ke
Liu, Jian-Ping
author_sort Zhang, Ying
collection PubMed
description BACKGROUND: Although Traditional Chinese Medicine (TCM) has been widely used in clinical settings, a major challenge that remains in TCM is to evaluate its efficacy scientifically. This randomized controlled trial aims to evaluate the efficacy and safety of berberine in the treatment of patients with polycystic ovary syndrome. In order to improve the transparency and research quality of this clinical trial, we prepared this statistical analysis plan (SAP). METHODS: The trial design, primary and secondary outcomes, and safety outcomes were declared to reduce selection biases in data analysis and result reporting. We specified detailed methods for data management and statistical analyses. Statistics in corresponding tables, listings, and graphs were outlined. DISCUSSION: The SAP provided more detailed information than trial protocol on data management and statistical analysis methods. Any post hoc analyses could be identified via referring to this SAP, and the possible selection bias and performance bias will be reduced in the trial. TRIAL REGISTRATION: This study is registered at ClinicalTrials.gov, NCT01138930, registered on 7 June 2010.
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spelling pubmed-50738782016-10-26 The effect of berberine on insulin resistance in women with polycystic ovary syndrome: detailed statistical analysis plan (SAP) for a multicenter randomized controlled trial Zhang, Ying Sun, Jin Zhang, Yun-Jiao Chai, Qian-Yun Zhang, Kang Ma, Hong-Li Wu, Xiao-Ke Liu, Jian-Ping Trials Update BACKGROUND: Although Traditional Chinese Medicine (TCM) has been widely used in clinical settings, a major challenge that remains in TCM is to evaluate its efficacy scientifically. This randomized controlled trial aims to evaluate the efficacy and safety of berberine in the treatment of patients with polycystic ovary syndrome. In order to improve the transparency and research quality of this clinical trial, we prepared this statistical analysis plan (SAP). METHODS: The trial design, primary and secondary outcomes, and safety outcomes were declared to reduce selection biases in data analysis and result reporting. We specified detailed methods for data management and statistical analyses. Statistics in corresponding tables, listings, and graphs were outlined. DISCUSSION: The SAP provided more detailed information than trial protocol on data management and statistical analysis methods. Any post hoc analyses could be identified via referring to this SAP, and the possible selection bias and performance bias will be reduced in the trial. TRIAL REGISTRATION: This study is registered at ClinicalTrials.gov, NCT01138930, registered on 7 June 2010. BioMed Central 2016-10-21 /pmc/articles/PMC5073878/ /pubmed/27769284 http://dx.doi.org/10.1186/s13063-016-1633-5 Text en © The Author(s). 2016 Open AccessThis 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 Update
Zhang, Ying
Sun, Jin
Zhang, Yun-Jiao
Chai, Qian-Yun
Zhang, Kang
Ma, Hong-Li
Wu, Xiao-Ke
Liu, Jian-Ping
The effect of berberine on insulin resistance in women with polycystic ovary syndrome: detailed statistical analysis plan (SAP) for a multicenter randomized controlled trial
title The effect of berberine on insulin resistance in women with polycystic ovary syndrome: detailed statistical analysis plan (SAP) for a multicenter randomized controlled trial
title_full The effect of berberine on insulin resistance in women with polycystic ovary syndrome: detailed statistical analysis plan (SAP) for a multicenter randomized controlled trial
title_fullStr The effect of berberine on insulin resistance in women with polycystic ovary syndrome: detailed statistical analysis plan (SAP) for a multicenter randomized controlled trial
title_full_unstemmed The effect of berberine on insulin resistance in women with polycystic ovary syndrome: detailed statistical analysis plan (SAP) for a multicenter randomized controlled trial
title_short The effect of berberine on insulin resistance in women with polycystic ovary syndrome: detailed statistical analysis plan (SAP) for a multicenter randomized controlled trial
title_sort effect of berberine on insulin resistance in women with polycystic ovary syndrome: detailed statistical analysis plan (sap) for a multicenter randomized controlled trial
topic Update
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073878/
https://www.ncbi.nlm.nih.gov/pubmed/27769284
http://dx.doi.org/10.1186/s13063-016-1633-5
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