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Twelve Chinese patent medicines combined with conventional medicine for the treatment of functional dyspepsia: a network meta-analysis

Han Y, Huang W, Wu W, Cui S, Zhang L, Ye L, Lin J, Wang N

Frontiers in medicine, 2025

7,575 participants

Abstract

Background: This study systematically evaluates the clinical efficacy and safety of 12 Chinese Patent Medicines (CPMs) combined with conventional Western medicine (CWM) in treating Functional Dyspepsia (FD), aiming to provide robust evidence for optimizing treatment strategies.

Methods: We systematically searched eight Chinese and international databases up to September 2025, including China National Knowledge Infrastructure, Wanfang Data, VIP Information, China Biology Medicine Disc, PubMed, Embase, Web of Science, and the Cochrane Library. Risk of bias was assessed using the Cochrane tool, and evidence certainty was appraised with CINeMA. Network meta-analysis was performed within a frequentist framework using random-effects models, and treatments were ranked by the surface under the cumulative ranking curve (SUCRA).

Results: A total of 76 RCTs involving 7,575 participants were included. All CPM + CWM regimens were more effective than CWM alone. The most significant benefit for total effective rate was observed with Jinghua Weikang Capsules (JWC) + CWM (RR = 1.46, 95% CI 1.28-1.67; SUCRA = 98.4%), Wuling Capsules (WLC) + CWM (RR = 1.29, 95% CI 1.18-1.42; SUCRA = 80.9%), and Qizhi Weitong Granules (QWG) + CWM (RR = 1.26, 95% CI 1.14-1.38; SUCRA = 69.2%). For motilin, WLC + CWM, Zhizhu Kuanzhong Capsules (ZKC) + CWM, and Simo Tang Oral Liquid (STOL) + CWM showed significant improvements. For gastrin, Liuwei Nengxiao Capsules (LNC) + CWM, Dalitong Granules (DLTG) + CWM, and…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 7,575 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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