Effect of Temporal Changes in Therapeutic Exposure on Self-reported Health Status in Childhood Cancer Survivors
Bibliographic record
Abstract
BACKGROUND: The effect of temporal changes in cancer therapy on health status among childhood cancer survivors has not been evaluated. OBJECTIVE: To compare proportions of self-reported adverse health status outcomes among childhood cancer survivors across 3 decades. DESIGN: Cross-sectional. (ClinicalTrials.gov: NCT01120353). SETTING: 27 North American institutions. PARTICIPANTS: 14 566 adults, who survived for 5 or more years after initial diagnosis (median age, 27 years; range, 18 to 48 years), treated from 1970 to 1999. MEASUREMENTS: Patient report of poor general or mental health, functional impairment, activity limitation, or cancer-related anxiety or pain was evaluated as a function of treatment decade, cancer treatment exposure, chronic health conditions, demographic characteristics, and health habits. RESULTS: Despite reductions in late mortality and the proportions of survivors with severe, disabling, or life-threatening chronic health conditions (33.4% among those treated from 1970 to 1979 and 21.0% among those treated from 1990 to 1999), those reporting adverse health status did not decrease by treatment decade. Compared with survivors diagnosed in 1970 to 1979, those diagnosed in 1990 to 1999 were more likely to report poor general health (11.2% vs. 13.7%; P < 0.001) and cancer-related anxiety (13.3% vs. 15.0%; P < 0.001). From 1970 to 1979 and 1990 to 1999, the proportions of survivors reporting adverse outcomes were higher (P < 0.001) among those with leukemia (poor general health, 9.5% and 13.9%) and osteosarcoma (pain, 23.9% and 36.6%). Temporal changes in treatment exposures were not associated with changes in the proportions of survivors reporting adverse health status. Smoking, not meeting physical activity guidelines, and being either underweight or obese were associated with poor health status. LIMITATION: Considerable improvement in survival among children diagnosed with cancer in the 1990s compared with those diagnosed in the 1970s makes it difficult to definitively determine the effect of risk factors on later self-reported health status without considering their effect on mortality. CONCLUSION: Because survival rates after a diagnosis of childhood cancer have improved substantially over the past 30 years, the population of survivors now includes those who would have died in earlier decades. Self-reported health status among survivors has not improved despite evolution of treatment designed to reduce toxicities. PRIMARY FUNDING SOURCE: The National Cancer Institute.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".