Therapy-Related Cardiac Risk in Childhood Cancer Survivors: An Analysis of the Childhood Cancer Survivor Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: The impacts of radiotherapy dose and exposed cardiac volume, select chemotherapeutic agents, and age at exposure on risk for late-onset cardiac disease in survivors of childhood cancer remain unresolved. PATIENTS AND METHODS: We determined the rates of severe to fatal cardiac disease in 24,214 5-year survivors in the Childhood Cancer Survivor Study diagnosed between 1970 and 1999 at a median age of 7.0 years (range, 0 to 20.9 years), with a median attained age of 27.5 years (range, 5.6 to 58.9 years). Using piecewise exponential models, we evaluated the association between cardiac disease rates and demographic and treatment characteristics. RESULTS: The cumulative incidence of cardiac disease 30 years from diagnosis was 4.8% (95% CI, 4.3 to 5.2). Low to moderate radiotherapy doses (5.0 to 19.9 Gy) to large cardiac volumes (≥ 50% of heart) were associated with an increased rate of cardiac disease (relative rate, 1.6; 95% CI, 1.1 to 2.3) compared with survivors without cardiac radiotherapy exposure. Similarly, high doses (≥ 20 Gy) to small cardiac volumes (0.1% to 29.9%) were associated with an elevated rate (relative rate, 2.4; 95% CI, 1.4 to 4.2). A dose-response relationship was observed between anthracycline chemotherapy and heart failure with younger children (age ≤ 13 years) at the greatest risk for heart failure after comparable dosing. CONCLUSION: These observations support advances in radiation field design and delivery technology to reduce cardiac dose/volume and should guide future treatment protocols. They also inform clinical practice guidelines for post-therapy surveillance and risk-reducing strategies.
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.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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 | 0.002 |
| 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 it