Best Evidence Summary of Traditional Chinese Medicine Nursing Technology for Patients With Chronic Fatigue Syndrome
Rattachement africain : gb, cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
The existing guidelines and expert consensus on Traditional Chinese Medicine (TCM) nursing technology for chronic fatigue syndrome (CFS) are few and not prominent. The relevant systematic reviews and randomized controlled trials lack scientific quality evaluation resulting in a lack of systematic and standardized evidence-based evidence of TCM nursing technology in clinical practice. Therefore, this study aimed to systematically evaluate and summarize the best evidence to provide an evidence-based platform for clinical practice. According to the "6S" evidence model, the clinical decisions, guidelines, expert consensus, evidence summary and systematic review related to TCM nursing technology for patients with CFS were systematically searched in UpToDate, BMJ Best Practice, PubMed, China National Knowledge Infrastructure and other Chinese and English databases and guideline networks. The retrieval time limit was from establishment of the database until March 2024. A total of 12 articles were included, including 1 clinical decision, 3 guidelines, 7 systematic reviews and 1 expert consensus. The 27 best pieces of evidences were summarized from 6 aspects, such as acupoint massage, traditional Chinese mind-body exercises, 5-element music therapy, dietetic therapy, acupuncture and moxibustion, and acupoint application. This study summarized the best evidence of TCM nursing technology for CFS, and provided a reference for clinical practice. Nursing staff should choose the evidence according to clinical practice to provide safe, scientific and effective individualized TCM nursing programs for patients with CFS and improve the quality of nursing.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Best Evidence Summary of Traditional Chinese Medicine Nursing Technology for Patients With Chronic Fatigue Syndrome
- Date Crossref
- 23/10/2025
- Éditeur
- Ovid Technologies (Wolters Kluwer Health)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Myalgic Encephalomyelitis Research Group pays non établi dans la noticeOrganisation à but non lucratif
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Chengdu University of Traditional Chinese Medicine pays non établi dans la noticeUniversité ou école supérieure
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Author Affiliations: College of Nursing pays non établi dans la noticeUniversité ou école supérieure
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no Institutional Review Board approval was required Because no human subjects were engaged in this study pays non établi dans la noticeStructure de recherche
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Chronic fatigue syndrome/myalgic encephalomyelitis: a clinician's introductory guide (2014 edition): https://www.iacfsme.org pays non établi dans la noticeÉtablissement de santé
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Myalgic encephalomyelitis/chronic fatigue syndrome: diagnosis and management: https://www.nice.org.uk/guidance/ng206 pays non établi dans la noticeInstitution
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CRediT authorship contribution statement: Huanle Liu: writing—original draft pays non établi dans la noticeInstitution
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Jing Gao Jing Gao, Mali (ville ou établissement reconnu, pays non nommé)Institution
Myalgic Encephalomyelitis Research Group, Chengdu University of Traditional Chinese Medicine et Author Affiliations: College of Nursing, avec 5 autres affiliations. Pays d’affiliation : Mali.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.