Reduced Need for Rescue Antiemetics and Improved Capacity to Eat in Patients Receiving Acupuncture Compared to Patients Receiving Sham Acupuncture or Standard Care during Radiotherapy.
Anna EnblomGunnar SteineckMats HammarSussanne BörjesonPublished in: Evidence-based complementary and alternative medicine : eCAM (2017)
Objective. To evaluate if consumption of emesis-related care and eating capacity differed between patients receiving verum acupuncture, sham acupuncture, or standard care only during radiotherapy. Methods. Patients were randomized to verum (n = 100) or sham (n = 100) acupuncture (telescopic blunt sham needle) (median 12 sessions) and registered daily their consumption of antiemetics and eating capacity. A standard care group (n = 62) received standard care only and delivered these data once. Results. More patients in the verum (n = 73 of 89 patients still undergoing radiotherapy; 82%, Relative Risk (RR) 1.23, 95% Confidence Interval (CI) 1.01-1.50) and the sham acupuncture group (n = 79 of 95; 83%, RR 1.24, CI 1.03-1.52) did not need any antiemetic medications, as compared to the standard care group (n = 42 out of 63; 67%) after receiving 27 Gray dose of radiotherapy. More patients in the verum (n = 50 of 89; 56%, RR 1.78, CI 1.31-2.42) and the sham acupuncture group (n = 58 of 94 answering patients; 62%, RR 1.83, CI 1.20-2.80) were capable of eating as usual, compared to the standard care group (n = 20 of 63; 39%). Conclusion. Patients receiving acupuncture had lower consumption of antiemetics and better eating capacity than patients receiving standard antiemetic care, plausible by nonspecific effects of the extra care during acupuncture.
Keyphrases
- end stage renal disease
- healthcare
- palliative care
- ejection fraction
- newly diagnosed
- chronic kidney disease
- early stage
- prognostic factors
- physical activity
- double blind
- peritoneal dialysis
- randomized controlled trial
- radiation induced
- weight loss
- patient reported outcomes
- affordable care act
- machine learning
- locally advanced
- rectal cancer
- artificial intelligence
- chronic pain
- big data
- ultrasound guided