Evidence Hub

Systematic Assessment of Chinese Medicine Compounds for Mitigating Anthracycline-Induced Cardiotoxicity

Yang J, Wang F, Wang Z, Wang L

Alternative therapies in health and medicine, 2024

748 participants

Abstract

Background: Anthracycline chemotherapy is highly effective in treating various cancers but is associated with significant cardiotoxicity. Chinese herbal compounds have shown promise in mitigating this adverse effect, warranting systematic evaluation for clinical applicability.

Objective: This study seeks to systematically assess the effectiveness of Chinese herbal compounds in managing anthracycline-induced cardiotoxicity via meta-analysis. The objective is to establish an evidence-based framework for their clinical use in preventing and treating this condition.

Methods: This study employed a systematic review and meta-analysis design. A comprehensive search strategy was implemented across multiple databases, including CNKI, VIP, PubMed, Embase, and the Cochrane Library, to identify relevant randomized controlled trials (RCTs). Data collection involved extracting information on the efficacy of Chinese herbal compounds in treating anthracycline-induced cardiotoxicity. The primary outcome measures included left ventricular ejection fraction (LVEF), serum levels of cardiac troponin I (cTnI), creatine kinase-MB (CK-MB), creatine kinase (CK), and ST-T abnormality. The risk of bias in these studies was assessed following Cochrane Handbook guidelines. Meta-analysis of outcome indicators was conducted utilizing RevMan 5.4.

Results: A total of 10 RCTs involving 748 patients met the inclusion criteria. Findings indicate that Chinese herbal compounds significantly enhance left…

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: 748 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