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Can acupuncture improve cardiac function in patients after percutaneous coronary intervention? A systematic review and meta-analysis

Zhihong Chen, Jinna Nie, Jiangshan Tian

Frontiers in Medicine, 2026

759 participants

Abstract

Background: To systematically evaluate the effects of acupuncture in improving cardiac function and the reported adverse events in patients after percutaneous coronary intervention (PCI) through meta-analysis.

Methods: Electronic databases including PubMed, China National Knowledge Infrastructure, Wanfang Medical, China Biomedical Literature Database, VIP Database, Embase, Ovid Medline, Sinomed Database and the Cochrane Library were searched from inception to May 2026. Two reviewers independently screened the literature according to the inclusion and exclusion criteria and extracted data. The methodological quality was assessed using the Cochrane Handbook for Systematic Reviews of Interventions (version 5.1), and meta-analysis was performed with Review Manager 5.3. The evidence was appraised per the GRADE framework.

Results: A total of 8 RCTs involving 759 patients were included, with 379 patients in the acupuncture group (247 males and 132 females) and 380 in the control group (conventional treatment or sham acupuncture; 257 males and 123 females). The results of the meta-analysis showed that, revealing that acupuncture was associated with better outcomes than conventional treatment or sham acupuncture in several measures. Specifically, the intervention led to a substantial boost in left ventricular ejection fraction (LVEF) by an average of 4.26 percentage points [95% CI (1.21, 7.31), P = 0.006], while also enhancing functional capacity as evidenced by a 43.88-m improvement…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. 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: 759 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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