Long-term cardiac morbidity in adolescent and young adult survivors of classical Hodgkin lymphoma: the British Columbia experience
Bibliographic record
Abstract
Adolescents and young adults (AYA) with classical Hodgkin lymphoma (cHL) have excellent survival outcomes. However, the late effects of treatment, including cardiovascular disease (CVD), can impact long-term disease-free morbidity and mortality. Using population-level administrative data, we evaluated rates of CVD in 2-year AYA survivors of cHL, aged 16-39 years, treated with ABVD or equivalent chemotherapy, with or without radiotherapy (RT). With a median follow up of 17 years (range 2.3-29 years), risk of CVD was 2.9-fold higher relative to controls, with a 5.2-fold risk of heart failure (HF) and 2.4-fold risk of ischemic heart disease (IHD). Risk of HF was associated with anthracycline-containing chemotherapy regimens alone or with combined modality therapy; whereas higher IHD risk was identified only in those treated with RT. At 20 years after the most recent cHL diagnosis or relapse, the cumulative incidence of HF was 4.3% in cases versus 0.8% in controls, and for IHD was 8.3% in cases versus 2.8% in controls. Treatment after 2005 using a PET scan guided approach reduced the overall use of RT (56.0% before 2005 vs. 14.9% 2005 and after), and was associated with a lower 15-year cumulative incidence of IHD (before 2005: 3.4% [95%CI: 1.8-5.1%]; 2005 and after: 0.7% [95%CI: 0-1.7%]) with the latter era comparable to controls; (1.6% [95%CI: 1.3-1.9%]). cHL survivors had increased 20-year cumulative mortality above that of age-matched controls (5.0% vs. 2.0%). These results can inform surveillance strategies, screening guidelines, and recommendations for risk factor modification for AYA cHL survivors.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".