Long-Term Survivors of Cancer in Childhood and Adolescence
Bibliographic record
Abstract
Significant improvements in the treatment of many pediatric malignancies have led to a growing population of long-term survivors of childhood cancer. Many of these survivors are at significant risk for late physical and psychosocial sequelae (“late effects”) as a result of their prior disease and its therapy. In some survivors (such as children treated for a brain tumor), late effects including endocrine dysfunction and neurocognitive challenges can develop during therapy and persist throughout life. In others (such as children and adolescents treated for Hodgkin’s lymphoma), late effects including congestive heart failure, pulmonary fibrosis and secondary breast cancers may not occur for many years, often once survivors have reached adulthood. During childhood, survivor care usually occurs at the pediatric cancer center, often in a specialized long-term follow-up clinic. However, adult survivors are usually cared for by primary care practitioners in their own communities. It is essential that the health care providers who will care for childhood cancer survivors as they age be aware of each survivor’s treatment exposures, long-term risks, and the surveillance strategies suggested for monitoring for these late effects. Strategies for effective transition from pediatric care and for ongoing communication between primary care practitioners and pediatric cancer centers need to be implemented to ensure that childhood cancer survivors receive appropriate care focused on their specific risks throughout their lifespan. Keywords: Childhood cancer, late effects, endocrine and neurocognitive dysfunction
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".