Evaluating traditional Chinese medicine (TCM) Jie Geng and Huang Qi combination on reducing surgical site infections in colorectal cancer surgeries: A systematic review and meta‐analysis.
Autor: | Chen, Shiwang, Tian, Xudong, Li, Shengcai, Wu, Zhengquan, Li, Yanlong, Liao, Ting, Liao, Zhifeng |
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Předmět: |
PREVENTION of surgical complications
DRUG efficacy LENGTH of stay in hospitals RELATIVE medical risk MEDICINAL plants HERBAL medicine COMBINATION drug therapy META-analysis SYSTEMATIC reviews ANTI-infective agents DISEASE incidence POSTOPERATIVE care COLORECTAL cancer SURGICAL site infections DESCRIPTIVE statistics CHINESE medicine ANTIBIOTICS DISEASE risk factors THERAPEUTICS EVALUATION |
Zdroj: | International Wound Journal; Feb2024, Vol. 21 Issue 2, p1-7, 7p |
Abstrakt: | Postoperative wound infections (PWIs) pose a significant challenge in colorectal cancer surgeries, leading to prolonged hospital stays and increased morbidity. This systematic review and meta‐analysis evaluated the efficacy of the traditional Chinese medicine (TCM) combination of Jie Geng and Huang Qi in reducing PWIs following colorectal cancer surgeries. Adhering to PRISMA guidelines, we focused on seven randomized controlled trials (RCTs) involving 1256 patients, examining the incidence of PWIs within 30 days post‐surgery, alongside secondary outcomes such as length of hospital stay and antibiotic use. The analysis revealed a significant reduction in PWI incidence in the TCM‐treated group compared to controls, with a Risk Ratio of 0.21 (95% CI: 0.14 to 0.30, p < 0.01), a notable decrease in hospital stay (Mean Difference: 1.2 days, 95% CI: 0.15 to 1.28 days, p < 0.01) and a significant reduction in antibiotic use (Risk Ratio: 0.24, 95% CI: 0.16 to 0.36, p < 0.01). These findings suggest that Jie Geng and Huang Qi in TCM could be an effective adjunct in postoperative care for colorectal cancer surgeries, underscoring the need for further high‐quality RCTs to substantiate these results and explore the underlying mechanisms. [ABSTRACT FROM AUTHOR] |
Databáze: | Complementary Index |
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