Evidence Hub

Comparative efficacy of prevention strategies for oral mucositis in breast cancer patients: a network meta-analysis

Liu Q, Wang R, Jiang S, Yuan J, He G, Wang Q, Cheng S, Chen L et al.

Breast cancer research and treatment, 2026

869 participants

Abstract

Background: This study aimed to evaluate the efficacy of various interventions for preventing and alleviating oral mucositis (OM), a dose-limiting toxicity induced by cancer treatment.

Methods: PubMed, Embase, Web of Science, and the Cochrane Library were systematically searched from their inception to March 19, 2026. The quality of included studies was assessed using version 2 of the Cochrane risk-of-bias tool (ROB 2). A Bayesian network meta-analysis (NMA) was conducted utilizing R 4.5.1 and the JAGS package (version 4.3.1). The interventions were compared using league tables, surface under the cumulative ranking curve (SUCRA), and heterogeneity testing.

Results: A total of 7,790 articles were retrieved. Ultimately, 10 randomized controlled trials (RCTs) involving 869 patients were included. According to the NMA, zinc most effectively reduced overall OM (RR = 0.53, 95%CrI: 0.27 to 0.95), while propolis dry extract was optimal for grade ≥ 2 OM (RR = 0.15, 95%CrI: 0.01 to 0.99). bifico significantly decreased overall OM (RR = 0.58, 95%CrI: 0.44 to 0.73) and ranked second for grade ≥ 2 OM. Subgroup analyses showed that professional oral health care and zinc were superior in chemotherapy patients, while MuGard and professional oral health care performed best in targeted therapy patients. Professional oral health care was most effective against grade ≥ 2 OM in the targeted therapy subgroup (SUCRA = 96.17%).

Conclusion: Zinc and propolis dry extract are the most optimal…

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: 869 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.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free