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Acupuncture therapy for radiotherapy-induced adverse effect: A systematic review and network meta-analysis
OBJECTIVE: To evaluate the efficacy of different acupuncture therapies for radiotherapy-induced adverse effects (RIAEs) and find out the optimal scheme. METHODS: Eligible randomized controlled trials (RCTs) were collected from inception to June 2020 from 9 bibliographic databases. The risk of bias e...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797977/ https://www.ncbi.nlm.nih.gov/pubmed/36590000 http://dx.doi.org/10.3389/fpubh.2022.1026971 |
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author | Wu, Tong Fu, Chengwei Deng, Yiran Huang, Wanping Wang, Jieyu Jiao, Yang |
author_facet | Wu, Tong Fu, Chengwei Deng, Yiran Huang, Wanping Wang, Jieyu Jiao, Yang |
author_sort | Wu, Tong |
collection | PubMed |
description | OBJECTIVE: To evaluate the efficacy of different acupuncture therapies for radiotherapy-induced adverse effects (RIAEs) and find out the optimal scheme. METHODS: 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. RESULTS: 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. CONCLUSION: 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. SYSTEMATIC REVIEW REGISTRATION: https://inplasy.com/inplasy-2020-7-0054/, identifier: INPLASY202070054. |
format | Online Article Text |
id | pubmed-9797977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97979772022-12-30 Acupuncture therapy for radiotherapy-induced adverse effect: A systematic review and network meta-analysis Wu, Tong Fu, Chengwei Deng, Yiran Huang, Wanping Wang, Jieyu Jiao, Yang Front Public Health Public Health OBJECTIVE: To evaluate the efficacy of different acupuncture therapies for radiotherapy-induced adverse effects (RIAEs) and find out the optimal scheme. METHODS: 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. RESULTS: 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. CONCLUSION: 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. SYSTEMATIC REVIEW REGISTRATION: https://inplasy.com/inplasy-2020-7-0054/, identifier: INPLASY202070054. Frontiers Media S.A. 2022-12-15 /pmc/articles/PMC9797977/ /pubmed/36590000 http://dx.doi.org/10.3389/fpubh.2022.1026971 Text en Copyright © 2022 Wu, Fu, Deng, Huang, Wang and Jiao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Wu, Tong Fu, Chengwei Deng, Yiran Huang, Wanping Wang, Jieyu Jiao, Yang Acupuncture therapy for radiotherapy-induced adverse effect: A systematic review and network meta-analysis |
title | Acupuncture therapy for radiotherapy-induced adverse effect: A systematic review and network meta-analysis |
title_full | Acupuncture therapy for radiotherapy-induced adverse effect: A systematic review and network meta-analysis |
title_fullStr | Acupuncture therapy for radiotherapy-induced adverse effect: A systematic review and network meta-analysis |
title_full_unstemmed | Acupuncture therapy for radiotherapy-induced adverse effect: A systematic review and network meta-analysis |
title_short | Acupuncture therapy for radiotherapy-induced adverse effect: A systematic review and network meta-analysis |
title_sort | acupuncture therapy for radiotherapy-induced adverse effect: a systematic review and network meta-analysis |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797977/ https://www.ncbi.nlm.nih.gov/pubmed/36590000 http://dx.doi.org/10.3389/fpubh.2022.1026971 |
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