Patient perspectives on breast cancer treatment side effects and the prospective surveillance model for physical rehabilitation for women with breast cancer
Bibliographic record
Abstract
Women's experience of breast cancer is complex, affecting all aspects of life during and after treatment. Patients' perspectives about common impairments and functional limitations secondary to breast cancer treatment, including upper extremity motion restriction, lymphedema, fatigue, weight gain, pain, and chemotherapy-induced peripheral neuropathy, are addressed. Women often report being uninformed regarding these side effects and surprised that they do not always disappear after treatment, but remain part of their lives. Breast cancer patients express strong, unmet needs for education, information, and intervention for these side effects. Evidence suggests that rehabilitation and exercise are effective in preventing and managing many physical side effects of breast cancer treatment. Nevertheless, few women are referred to rehabilitation during or after treatment, and fewer receive baseline assessments of impairment and function to facilitate early detection of impairment and functional limitations. The prospective surveillance model of rehabilitation will serve the needs of women with breast cancer by providing education and information about treatment side effects, reducing the incidence and burden of side effects through early identification and treatment, and enhancing access to timely rehabilitation. Integration of exercise as a component of the model benefits patients at every phase of survivorship, by addressing individual concerns about exercise during and after treatment and highlighting the important contribution of exercise to overall health and survival. The prospective surveillance model of rehabilitation can meet the evident and often expressed needs of survivors for information, guidance, and intervention--thus addressing, and potentially improving, overall quality of life for individuals diagnosed with and treated for breast cancer.
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 | 0.011 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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".