Acupuncture therapy for radiotherapy-induced adverse effect: A systematic review and network meta-analysis

To evaluate the efficacy of different acupuncture therapies for radiotherapy-induced adverse effects (RIAEs) and find out the optimal scheme. Eligible randomized controlled trials (RCTs) were collected from inception to June 2020 from 9 bibliographic databases. The risk of bias evaluation of the ana...

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Veröffentlicht in:Frontiers in public health 2022-12, Vol.10, p.1026971
Hauptverfasser: Wu, Tong, Fu, Chengwei, Deng, Yiran, Huang, Wanping, Wang, Jieyu, Jiao, Yang
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Sprache:eng
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Zusammenfassung:To evaluate the efficacy of different acupuncture therapies for radiotherapy-induced adverse effects (RIAEs) and find out the optimal scheme. Eligible randomized controlled trials (RCTs) were collected from inception to June 2020 from 9 bibliographic databases. The risk of bias evaluation of the analyzed literature was carried out using the Cochrane risk-of-bias tool. Network meta-analysis was mainly performed using STATA 14.2 and OpenBUGS 3.2.3 by figuring out the network diagrams, league figures, and SUCRA values. A total of 41 studies with 3,011 participants reported data suitable for network meta-analysis. There was a low to moderate risk of bias in twenty of the articles. ST36 was the most widely prescribed acupoint. Based on network meta-analysis, four outcome indicators were described, namely, acupuncture + medication ranked first in treating radiation enteritis, moxibustion + medication ranked first in preventing radiotherapy-induced leukopenia, acupuncture + medication ranked first in preventing radioactive oral mucositis, and acupuncture ranked first in improving the stimulated salivary flow rate of radioactive xerostomia. The findings of the network meta-analysis manifested that acupuncture therapy combined with medication has superiority in most RIAEs, both reducing incidence and relieving symptoms. However, high-quality studies are still needed to provide conclusive evidence. https://inplasy.com/inplasy-2020-7-0054/, identifier: INPLASY202070054.
ISSN:2296-2565
2296-2565
DOI:10.3389/fpubh.2022.1026971