Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Cancer-related fatigue is the most common symptom of subjective and persistent nature in cancer patients, which almost runs through the whole process of disease and treatment and rehabilitation, seriously affects the effect of anti-tumor treatment and reduces the quality of life of patients. Non-pharmacological management is one of the key links to relieve cancer-related fatigue, however, there are many types of non-pharmacological management and the related guidelines do not recommend the optimal nursing program for cancer-related fatigue. In our study, Network Meta-analysis was used to compare the effectiveness of different non-pharmacological therapies in Cancer-related fatigue to make their treatment and care more clinically valuable.
Methods: Randomized controlled trials about non-pharmacological therapies for cancer-related fatigue were searched in Chinese and English databases including China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, Chinese Scientific Journal database, Chinese Biomedical Database, Google Scholar, Pubmed, Web of science, Cochrane Library, Sci-Hub, ScienceDirect, and other relevant medical websites including Medlive and DingXiangYuan. The search time was from the establishment of the database to December 2023. The quality of the included Randomized controlled trials was evaluated by two trained researchers using the Cochrane Risk of Bias Assessment Tool, and data were independently extracted from the included literature and analyzed by reticulated Meta-analysis using Stata 18.0 statistical software.
Results: A total of 49 studies with 24 non-drug management methods, and 3887 patients were included. The results of network meta-analysis showed that the use of massage therapy to improve cancer-related fatigue had a more significant advantage over conventional nursing measures and other non-pharmacological therapies in cancer patients, followed by infrared laser moxibustion and ginger-isolated moxibustion with traditional Chinese medicine characteristics, while the worst effect was strengthening excise.
Conclusions: The existing evidence shows that massage therapy has the best effect in the intervention of cancer-related fatigue. However, due to the diversity of non-pharmacological therapies and the small number of studies included in each therapy, the coverage of this study is insufficient, and more large-sample, multi-center and high-quality randomized controlled trials are needed for further verification in the future.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ijnurstu.2024.104904 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!