An evidence‐based review of yoga as a complementary intervention for patients with cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To conduct an evidence-based review of yoga as an intervention for patients with cancer. Specifically, this paper reviewed the impact of yoga on psychological adjustment among cancer patients. METHODS: A systematic literature search was conducted between May 2007 and April 2008. Data from each identified study were extracted by two independent raters; studies were included if they assessed psychological functioning and focused on yoga as a main intervention. Using a quality rating scale (range = 9-45), the raters assessed the methodological quality of the studies, and CONSORT guidelines were used to assess randomized controlled trials (RCTs). Effect sizes were calculated when possible. In addition, each study was narratively reviewed with attention to outcome variables, the type of yoga intervention employed, and methodological strengths and limitations. RESULTS: Ten studies were included, including six RCTs. Across studies, the majority of participants were women, and breast cancer was the most common diagnosis. Methodological quality ranged greatly across studies (range = 15.5-42), with the average rating (M = 33.55) indicating adequate quality. Studies also varied in terms of cancer populations and yoga interventions sampled. CONCLUSIONS: This study provided a systematic evaluation of the yoga and cancer literature. Although some positive results were noted, variability across studies and methodological drawbacks limit the extent to which yoga can be deemed effective for managing cancer-related symptoms. However, further research in this area is certainly warranted. Future research should examine what components of yoga are most beneficial, and what types of patients receive the greatest benefit from yoga interventions.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.066 | 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 it