Rehabilitation following cancer treatment
Bibliographic record
Abstract
PURPOSE: Cancer survivorship is increasing. However, life-saving treatments often leave people with physical, cognitive and emotional sequelae that contribute to activity and participation limitations. The purpose of this review is to summarize current evidence regarding rehabilitation interventions to address problems during survivorship. METHOD: Best evidence synthesis. The review took as its starting point a systematic review of patient needs and supportive care interventions following cancer treatment. The study team identified the needs which could be addressed by rehabilitation and suggested others not originally included. Then they built on the earlier review's conclusions regarding effective intervention through extraction of results from subsequent systematic reviews and randomized controlled trials. RESULTS: Evidence regarding the effectiveness of potential rehabilitation interventions was reviewed for physical functioning, fatigue, pain, sexual functioning, cognitive functioning, depression, employment, nutrition and participation. With the exception of physical rehabilitation interventions following breast cancer, this literature tends to focus on psychoeducational interventions, which have demonstrated limited effectiveness for rehabilitation outcomes. CONCLUSIONS: Most of the knowledge available regarding potential rehabilitation interventions comes from psychosocial oncology literature. While there are limitations, this literature provides an excellent starting point to examine the potential effectiveness of rehabilitation interventions within cancer survivorship programs. IMPLICATIONS FOR REHABILITATION: Good evidence exists for the use of exercise/physical rehabilitation in reducing fatigue after treatment for most cancers, and improving upper extremity functioning following treatment for breast cancer. Preliminary evidence exists in a number of areas that may be improved by rehabilitation interventions, such as pain, sexual functioning, cognitive functioning and return to work, but further research is needed. No intervention studies addressing participation limitations were identified. Rehabilitation professionals are encouraged to take the lead in exploring participation limitations among cancer survivors and developing suitable interventions.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".