The effect of mind-body exercise on cognitive function in cancer survivors: A systematic review
Bibliographic record
Abstract
Objective: Cancer-related cognitive impairments experienced by cancer survivors cause many to seek non-pharmacological intereventions to manage these symptoms. The aim of this systematic review was to evaluate the effects of one such intervention, mindbody exercise (MBE), on cognitive function in cancer survivors. Design: Searches for relevant studies were conducted in four electronic databases, including PubMed, Embase, Scopus, and Web of Science. The Joanna Briggs Institute and Jadad scales were utilized to evaluate the quality of the selected studies. Results: Eleven studies including 1,032 participants, published between 2006 and 2019, were selected for review based on specific inclusion criteria. Our results indicated that interventions including, yoga, tai chi, and qigong may improve objective and subjective cognitive function in cancer survivors. Conclusion: Cancer survivors experiencing cognitive symptoms may benefit from participation in MBE. Adequately powered randomized controlled trials are required to establish the short- and long-term effects of MBE on cognitive functioning.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".