Critical issues in transition and survivorship for adolescents and young adults with cancers
Bibliographic record
Abstract
The majority of children, adolescents, and young adults diagnosed with cancer will become long-term survivors with many potential years of life ahead of them. Their journey from health through diagnosis and treatment to survivorship involves multiple transitions. Transitional services that should be available throughout this journey include health-related education, health surveillance and screening, management of cancer-related complications, and psychosocial support relevant to their developmental needs. Survivors require lifelong care that focuses not only on the medical risks arising from their cancer therapy, but also the psychosocial, educational, and vocational implications of surviving cancer. Because many community health care providers lack familiarity with the health risks associated with childhood or adolescent/young adult cancer, survivors must have sufficient health knowledge to advocate for risk-based cancer-related follow-up; the provision of a treatment summary and care plan at the conclusion of their cancer therapy is an important tool for facilitating this process. The availability of resources for survivors varies by geography, health care system, and survivor characteristics. Adolescents and young adults who receive their care outside of a pediatric cancer center have particularly limited access. The limitations in cancer center resources (along with survivor preference) strongly suggest that the long-term care of survivors will need to be shared between the cancer centers and primary care providers in survivors' communities.
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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 | 0.018 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.007 | 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".