Survivorship Considerations and Management in the Adolescent and Young Adult Sarcoma Population: A Review
Bibliographic record
Abstract
Soft tissue sarcoma (STS) has an 2-8% incidence for all malignant tumors in the adolescent and young adult (AYA) population, which are patients from ages 15 to 39. As most STS tumors are aggressive, they require multimodal management with surgery, radiation and chemotherapy. This article discusses the survivorship considerations in this young population of cancer patients who complete therapy. The lasting side effects include surgical and radiation-related morbidity, chemotherapy toxicity, early and late secondary effects on other organ systems, such as cardiac and endocrine dysfunction, and the development of secondary cancers. The long-term psychologic and practical impacts for those who have received a sarcoma diagnosis in the prime of their life include fertility, mental health, relationship, education and career implications. Although there is a paucity of data in some of these areas, we present existing management guidelines as available. This article serves as a comprehensive review of this wide array of treatment effects intended for all providers participating in the care of AYA sarcoma survivors, to include oncologists, primary care providers and therapists.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".