SynthesisFrontiers in medicine2026
Toxicity reduction and immune reconstitution with adjuvant traditional Chinese medicine for postoperative ovarian cancer: a systematic review and meta-analysis.
Synthesis in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
6 authors.
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Abstract
Objective: To systematically evaluate the efficacy of Traditional Chinese Medicine (TCM) as an adjunctive modality in postoperative ovarian cancer management, specifically focusing on its capacity for toxicity reduction and immune reconstitution. Methods: Literature was systematically searched across six databases (China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, SinoMed, PubMed, and the Cochrane Library.) for literature published between January 2018 and June 2025. Randomized controlled trials (RCTs) were included if they compared integrative therapy (TCM plus conventional platinum-based chemotherapy) to conventional therapy alone in postoperative patients with ovarian cancer. The primary endpoint was the incidence of chemotherapy-related adverse events (AEs), while secondary endpoints included immune cell subsets (CD3 Results: Twenty-two RCTs ( Conclusion: The integration of TCM with postoperative chemotherapy provided dual benefit of reducing treatment toxicity and enhancing cellular immune recovery in patients with ovarian cancer. Due to limitations in study quality and heterogeneity, further high-quality RCTs are needed to validate these findings and establish standardized TCM protocols. Systematci review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251242407, CRD420251242407.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.