Skip to main content

ORIGINAL RESEARCH article

Front. Immunol.
Sec. Nutritional Immunology
Volume 15 - 2024 | doi: 10.3389/fimmu.2024.1429895
This article is part of the Research Topic Natural Products and Their Derivatives in the Treatment of Inflammatory and Autoimmune Diseases View all 7 articles

Reporting quality and risk of bias of randomized controlled trials of Chinese herbal medicine for multiple sclerosis

Provisionally accepted
Jing-Ying Wu Jing-Ying Wu 1Jiang-Li Yang Jiang-Li Yang 1Jia-Ling Hu Jia-Ling Hu 1Shan Xu Shan Xu 1Xiao-Jie Zhang Xiao-Jie Zhang 1Shi-Yan Qian Shi-Yan Qian 1Min-Li Chen Min-Li Chen 2MAHAD ABDULKADIR ALI MAHAD ABDULKADIR ALI 1Juan Zhang Juan Zhang 1Zheng Zha Zheng Zha 1Guo-Qing Zheng Guo-Qing Zheng 1*
  • 1 First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China
  • 2 Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China

The final, formatted version of the article will be published soon.

    Background: Multiple sclerosis (MS) is the most common non-traumatic disabling disease affecting young adults. A definitive curative treatment is currently unavailable. Many randomized controlled trials (RCTs) have reported the efficacy of Chinese herbal medicine (CHM) on MS. Due to the uncertain quality of these RCTs, the recommendations for routine use of CHM for MS remain inconclusive. The comprehensive evaluation of the quality of RCTs of CHM for MS is urgent. Methods: Nine databases, including PubMed, Embase, Web of Science, Cochrane Library, EBSCO, Sinomed, Wanfang Database, China National Knowledge Infrastructure and VIP Database, were searched from inception to September 2023. RCTs comparing CHM with placebo or pharmacological interventions for MS were considered eligible. The Consolidated Standards of Reporting Trials (CONSORT) and its extension for CHM formulas (CONSORT-CHM Formulas) checklists were used to evaluate the reporting quality of RCTs. The risk of bias was assessed using the Cochrane Risk of Bias tool. The selection criteria of high frequency herbs for MS were those with cumulative frequency over 50% among the top-ranked herbs. Results: Twenty-five RCTs were included. In included RCTs, 33% of the CONSORT items and 21% of the CONSORT-CHM Formulas items were reported. Eligibility title, sample size calculation, allocation concealment, randomized implementation and blinded description in CONSORT core items were reported by less than 5% of trials. For the CONSORT-CHM Formulas, the source and authentication method of each CHM ingredient was particularly poorly reported. Most studies classified the risk of bias as “unclear” due to insufficient information. The top 5 most frequently used herbs were ordinally Radix Rehmanniae Preparata, Radix Rehmanniae Recens, Herba Epimedii, Scorpio and Poria. No serious adverse effect had been reported. Conclusions: The low reporting of CONSORT items and unclear risk of bias indicate inadequate quality of RCTs in terms of reporting completeness and result validity. The CONSORT-CHM Formulas appropriately consider the unique characteristics of CHM, including principles, formulas, and Chinese medicinal substances. To improve the quality of RCTs on CHM for MS, researchers should adhere more closely to CONSORT-CHM Formulas guidelines and ensure comprehensive disclosure of all study design elements.

    Keywords: Autoimmune Diseases, Natural Products, Traditional Chinese Medicine, Herbal, Reporting quality, risk of bias

    Received: 08 May 2024; Accepted: 22 Jul 2024.

    Copyright: © 2024 Wu, Yang, Hu, Xu, Zhang, Qian, Chen, ABDULKADIR ALI, Zhang, Zha and Zheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Guo-Qing Zheng, First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.