Risk-based care in survivors of childhood cancer: A report from the Childhood Cancer Survivor Study (CCSS)
Bibliographic record
Abstract
6502 Background: Childhood cancer survivors are at significant risk of morbidity as a result of their therapy. Thus, they require regular medical follow-up focused on their specific long-term risks. We examined the frequency and type of care received by a cohort of adult survivors of childhood cancer and examined the predictors of the receipt of appropriate risk-based care. Methods: Eligible subjects were members of the CCSS, a multi-institutional study of patients who have survived at least 5 years after being diagnosed with childhood cancer between 1970 and 1986. Participants completed a baseline survey and a subsequent survey on health care contact within the preceding 2 years. Contact was classified hierarchically as general care, cancer-related care, basic risk-based care and optimal risk-based care. Optimal risk-based care was assessed only in patients whose therapy is associated with a substantial risk of cardiac disease (=300 mg/m2 of an anthracycline, or any anthracycline plus chest radiation) or breast cancer (females who received chest radiation who are =27 years). Univariate and multivariable analyses were performed to assess associations between demographic/treatment variables and health care outcomes using logistic regression models. Results: The health care questionnaire was completed by 8,448 survivors. Median age (range) at diagnosis was 6.8 (0–21.0) years and at assessment was 31.4 (17.5–54.1) years. 87% reported general medical contact, 31% cancer- related care and 12% basic risk-based cancer care. Amongst patients at increased risk of cardiac disease (N=1,798) or breast cancer (N=852), only 28% reported receiving an echocardiogram and 49% a mammogram, respectively. Patients without health insurance (odds ratio [OR]=2.22, 95% confidence interval [CI]=1.56–3.13, p<0.0001 by Wald statistic), males (OR=1.19, 95% CI=1.03–1.37, p=0.02), younger patients (OR=1.03, 95% CI=1.02–1.04, p<0.0001) and those who perceived their health as good/excellent (OR=1.37, 95% CI=1.13–1.65, p=0.001) were at increased risk of not having received basic risk-based care. Conclusions: Despite a significant risk of late effects after cancer therapy, the majority of adult survivors of childhood cancer do not receive appropriate risk-based health care. No significant financial relationships to disclose.
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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) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".