Purpose: Complementary and alternative medicines (CAMs) are widely used by patients with cancer. However, little is known about the extent to which these potential remedies are used internationally to treat the most common toxicities of radiation therapy. We report on the results of an international survey that assessed the use of CAMs.
Methods And Materials: Surveys were distributed to 1174 practicing radiation oncologists. Questions evaluated the perceptions of CAMs and specific practice patterns for the use of CAM remedies in the treatment of common radiation-induced toxicities (eg, skin, fatigue, nausea, diarrhea, and mucositis/xerostomia). The responses were compared between the groups using the χ test and stratified on the basis of provider location, number of years in practice, and perception of CAMs.
Results: A total of 114 radiation oncologists from 29 different countries completed the survey, with a balanced distribution between North American (n = 56) and non-North American (n = 58) providers. Among the responding clinicians, 63% recommended CAMs in their practice. The proportion of clinicians who recommend CAMs for radiation toxicities did not significantly vary when stratified by provider's number of years in practice ( = .23) or location (United States/Canada vs other; = .74). Overall, providers reported that 29.4% of their patients use CAMs, and 87.7% reported that their practice encouraged or was neutral on CAM use, whereas 12.3% recommended stopping CAMs. The most common sources of patient information on CAMs were the Internet (75.4%), friends (60.5%), and family (58.8%). Clinicians reported the highest use of CAMs for radiation skin toxicity at 66.7%, followed by 48.2% for fatigue, 40.4% for nausea, and 36.8% for mucositis/xerostomia.
Conclusions: Nearly two-thirds of the surveyed radiation oncologists recommend CAMs for radiation-related toxicities; however, they estimated that less than one third of patients use CAMs for this purpose. This suggests a need for further investigation and perhaps greater patient education on the roles of CAMs in treating radiation toxicities.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349625 | PMC |
http://dx.doi.org/10.1016/j.adro.2018.09.012 | DOI Listing |
Strahlenther Onkol
January 2025
Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Background: This study aims to evaluate the capabilities and limitations of large language models (LLMs) for providing patient education for men undergoing radiotherapy for localized prostate cancer, incorporating assessments from both clinicians and patients.
Methods: Six questions about definitive radiotherapy for prostate cancer were designed based on common patient inquiries. These questions were presented to different LLMs [ChatGPT‑4, ChatGPT-4o (both OpenAI Inc.
Purpose: In prostate and breast cancer, moderate hypofractionation (HF) has demonstrated comparable, if not greater, efficacy than conventional fractionation. There is a stark disparity in the uptake of HF between North America and Africa. Using the Consolidative Framework for Implementation Research, we evaluated barriers and facilitators for implementing HF in Sub-Saharan Africa (SSA).
View Article and Find Full Text PDFAnticancer Drugs
January 2025
Fondazione Policlinico Universitario A. Gemelli, IRCCS, Unità Operativa Complessa Ginecologia Oncologica, Dipartimento per la Salute della Donna e del Bambino e della Salute Pubblica.
The aim of this study was to present a nationwide survey on the specialist's attitudes towards stereotactic body radiotherapy (SBRT) combined with poly (ADP-ribose) polymerase inhibitors (PARPi) with oligometastatic/oligoprogressive/oligorecurrent ovarian cancer (oMPR-OC) patients. The 19-item questionnaire was developed by specialists and distributed online. Replies were stratified by categories and analyzed using descriptive statistics.
View Article and Find Full Text PDFANZ J Surg
December 2024
Northern Sydney Cancer Centre, Royal North Shore Hospital, University of Sydney, Sydney, New South Wales, Australia.
Phys Med
January 2025
Department of Medical Physics, Faculty of Medicine, University of Crete, P.O. Box 2208, 71003 Iraklion, Crete, Greece.
Purpose: To investigate the performance of a machine learning-based segmentation method for treatment planning of gastric cancer.
Materials And Methods: Eighteen patients planned to be irradiated for gastric cancer were studied. The target and the surrounding organs-at-risk (OARs) were manually delineated on CT scans.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!