Outpatient oncology massage self-reported outcomes in cancer patients and their caregivers.
Bibliographic record
Abstract
e21627 Background: Massage as a manual therapy has shown benefit for symptomatic relief in cancer patients and their caregivers. We explored the impact of a single massage session on self-reported symptoms in an outpatient clinic at a comprehensive cancer center. Methods: Data were reviewed from massage sessions (30 or 60-min duration) at our Integrative Medicine Center outpatient clinic from Sep 2012-Jan 2015. Participants completed a modified Edmonton Symptom Assessment Scale (ESAS; 0-10 scale, 10 most severe) pre- and post-massage. ESAS subscales analyzed included Physical Distress (PHS), Psychological Distress (PSS), and Global Distress (GSD). We used paired t-tests with a Bonferroni correction (i.e., p < .001) to examine pre/post massage self-reported symptoms. Results: Initial massage visits for 164 patients and 39 caregivers were analyzed. Highest symptoms burden (means) at baseline for patients were Sleep 3.93, Fatigue 3.70, and poor sense of Well-Being 3.62; for caregivers Distress 4.14, Sadness 3.43, and Sleep 3.21. Although patients reported significantly more physical symptoms (F = 27.56, P < .0001) compared to caregivers at baseline, groups did not differ in regard to psychological symptom burden (P = .75). Massage therapy was associated with significant improvements in PHS, PSS, and GSD for both patients and caregivers at P < .0001. Including participants with symptom report greater or equal to 1, massage resulted in a clinically significant improvement (reduction > or equal to 1) in pain, fatigue, sleep, distress, dry mouth, sadness, numbness, anxiety, wellbeing for patients; pain, fatigue, distress, sadness, numbness, anxiety, wellbeing for caregivers. Regarding massage duration, there were no significant effects for 30 vs 60-min duration on pre/post ESAS difference scores. Conclusions: A single 30- or 60-min massage session resulted in acute relief of self-reported symptoms in patients and caregivers. Further study is warranted regarding optimal massage dose and frequency.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".