The effect of progressive muscle relaxation training on chemotherapy-induced nausea, vomiting and anxiety in Egyptian breast cancer women: A randomized controlled trial
Bibliographic record
Abstract
Background and objective: This study was conducted to examine the effect of progressive muscle relaxation training (PMRT) in combination with antiemetic drugs on chemotherapy-associated nausea, vomiting and anxiety in breast cancer women receiving chemotherapy.Methods: A randomized controlled trial design was conducted on 74 patients divided into control (n = 37) and PMRT group (n = 37). The study was conducted at Oncology Center affiliated to Mansoura University, Egypt. The intervention included daily PMRT practice for seven days two hours before chemotherapy. The patients exercised in the oncology unit with the researcher, and individually applied the exercises at home. The data was collected using Rhodes index of nausea-vomiting and retching used daily after chemotherapy for seven days and Zung self-rating anxiety scale used before chemotherapy and at the seventh and 14th days after chemotherapy.Results: A significant decrease in the frequency, severity, and duration of vomiting, nausea, retching and anxiety in PMRT group than in the control group (p < .0001). Conclusions: Progressive muscle relaxation combined with antiemetics was effective in reducing vomiting, nausea, and retching, as well as improving anxiety level induced by chemotherapy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".