Supporting an Athlete With Breast Cancer: A Case Report
Bibliographic record
Abstract
For cancer survivors who also identify as athletes, a rigorous exercise that was once part of their daily routine and fundamental to their physical, psychological, and potentially financial well-being, may be temporarily or permanently altered in ways that exacerbate cancer-related changes in quality of life. This report presents an illustrative case of an endurance athlete who underwent breast cancer treatment and her subsequent return to high-performance, high elevation sport. We identify gaps in oncology research and patient educational tools to counsel athletes with cancer regarding the acute and long-term effects of cancer treatment and possibility of returning to a precancer level of fitness and performance. The report also highlights the need to tailor individualized cancer care treatment, rehabilitation, and the ability to preempt potential clinical and psychological side effects that may substantially impact training and competition.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".