{"title":"An adaptive Bayesian randomized controlled trial of traditional Chinese medicine in progressive pulmonary fibrosis: Rationale and study design.","authors":"Cheng Zhang, Yi-Sen Nie, Chuan-Tao Zhang, Hong-Jing Yang, Hao-Ran Zhang, Wei Xiao, Guang-Fu Cui, Jia Li, Shuang-Jing Li, Qing-Song Huang, Shi-Yan Yan","doi":"10.1016/j.joim.2025.01.003","DOIUrl":null,"url":null,"abstract":"<p><p>Progressive pulmonary fibrosis (PPF) is a progressive and lethal condition with few effective treatment options. Improvements in quality of life for patients with PPF remain limited even while receiving treatment with approved antifibrotic drugs. Traditional Chinese medicine (TCM) has the potential to improve cough, dyspnea and fatigue symptoms of patients with PPF. TCM treatments are typically diverse and individualized, requiring urgent development of efficient and precise design strategies to identify effective treatment options. We designed an innovative Bayesian adaptive two-stage trial, hoping to provide new ideas for the rapid evaluation of the effectiveness of TCM in PPF. An open-label, two-stage, adaptive Bayesian randomized controlled trial will be conducted in China. Based on Bayesian methods, the trial will employ response-adaptive randomization to allocate patients to study groups based on data collected over the course of the trial. The adaptive Bayesian trial design will employ a Bayesian hierarchical model with \"stopping\" and \"continuation\" criteria once a predetermined posterior probability of superiority or futility and a decision threshold are reached. The trial can be implemented more efficiently by sharing the master protocol and organizational management mechanisms of the sub-trial we have implemented. The primary patient-reported outcome is a change in the Leicester Cough Questionnaire score, reflecting an improvement in cough-specific quality of life. The adaptive Bayesian trial design may be a promising method to facilitate the rapid clinical evaluation of TCM effectiveness for PPF, and will provide an example for how to evaluate TCM effectiveness in rare and refractory diseases. However, due to the complexity of the trial implementation, sufficient simulation analysis by professional statistical analysts is required to construct a Bayesian response-adaptive randomization procedure for timely response. Moreover, detailed standard operating procedures need to be developed to ensure the feasibility of the trial implementation. Please cite this article as: Zhang C, Nie YS, Zhang CT, Yang HJ, Zhang HR, Xiao W, Cui GF, Li J, Li SJ, Huang QS, Yan SY. An adaptive Bayesian randomized controlled trial of traditional Chinese medicine in progressive pulmonary fibrosis: Rationale and study design. J Integr Med. 2025; Epub ahead of print.</p>","PeriodicalId":48599,"journal":{"name":"Journal of Integrative Medicine-Jim","volume":" ","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Integrative Medicine-Jim","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.joim.2025.01.003","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INTEGRATIVE & COMPLEMENTARY MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Progressive pulmonary fibrosis (PPF) is a progressive and lethal condition with few effective treatment options. Improvements in quality of life for patients with PPF remain limited even while receiving treatment with approved antifibrotic drugs. Traditional Chinese medicine (TCM) has the potential to improve cough, dyspnea and fatigue symptoms of patients with PPF. TCM treatments are typically diverse and individualized, requiring urgent development of efficient and precise design strategies to identify effective treatment options. We designed an innovative Bayesian adaptive two-stage trial, hoping to provide new ideas for the rapid evaluation of the effectiveness of TCM in PPF. An open-label, two-stage, adaptive Bayesian randomized controlled trial will be conducted in China. Based on Bayesian methods, the trial will employ response-adaptive randomization to allocate patients to study groups based on data collected over the course of the trial. The adaptive Bayesian trial design will employ a Bayesian hierarchical model with "stopping" and "continuation" criteria once a predetermined posterior probability of superiority or futility and a decision threshold are reached. The trial can be implemented more efficiently by sharing the master protocol and organizational management mechanisms of the sub-trial we have implemented. The primary patient-reported outcome is a change in the Leicester Cough Questionnaire score, reflecting an improvement in cough-specific quality of life. The adaptive Bayesian trial design may be a promising method to facilitate the rapid clinical evaluation of TCM effectiveness for PPF, and will provide an example for how to evaluate TCM effectiveness in rare and refractory diseases. However, due to the complexity of the trial implementation, sufficient simulation analysis by professional statistical analysts is required to construct a Bayesian response-adaptive randomization procedure for timely response. Moreover, detailed standard operating procedures need to be developed to ensure the feasibility of the trial implementation. Please cite this article as: Zhang C, Nie YS, Zhang CT, Yang HJ, Zhang HR, Xiao W, Cui GF, Li J, Li SJ, Huang QS, Yan SY. An adaptive Bayesian randomized controlled trial of traditional Chinese medicine in progressive pulmonary fibrosis: Rationale and study design. J Integr Med. 2025; Epub ahead of print.
期刊介绍:
The predecessor of JIM is the Journal of Chinese Integrative Medicine (Zhong Xi Yi Jie He Xue Bao). With this new, English-language publication, we are committed to make JIM an international platform for publishing high-quality papers on complementary and alternative medicine (CAM) and an open forum in which the different professions and international scholarly communities can exchange views, share research and their clinical experience, discuss CAM education, and confer about issues and problems in our various disciplines and in CAM as a whole in order to promote integrative medicine.
JIM is indexed/abstracted in: MEDLINE/PubMed, ScienceDirect, Emerging Sources Citation Index (ESCI), Scopus, Embase, Chemical Abstracts (CA), CAB Abstracts, EBSCO, WPRIM, JST China, Chinese Science Citation Database (CSCD), and China National Knowledge Infrastructure (CNKI).
JIM Editorial Office uses ThomsonReuters ScholarOne Manuscripts as submitting and review system (submission link: http://mc03.manuscriptcentral.com/jcim-en).
JIM is published bimonthly. Manuscripts submitted to JIM should be written in English. Article types include but are not limited to randomized controlled and pragmatic trials, translational and patient-centered effectiveness outcome studies, case series and reports, clinical trial protocols, preclinical and basic science studies, systematic reviews and meta-analyses, papers on methodology and CAM history or education, conference proceedings, editorials, commentaries, short communications, book reviews, and letters to the editor.
Our purpose is to publish a prestigious international journal for studies in integrative medicine. To achieve this aim, we seek to publish high-quality papers on any aspects of integrative medicine, such as acupuncture and traditional Chinese medicine, Ayurveda medicine, herbal medicine, homeopathy, nutrition, chiropractic, mind-body medicine, taichi, qigong, meditation, and any other modalities of CAM; our commitment to international scope ensures that research and progress from all regions of the world are widely covered. These ensure that articles published in JIM have the maximum exposure to the international scholarly community.
JIM can help its authors let their papers reach the widest possible range of readers, and let all those who share an interest in their research field be concerned with their study.