Chemotherapy alone vs. chemotherapy plus radiotherapy in female adolescent and young adults with Hodgkin’s lymphoma: reproductive health outcomes
Bibliographic record
Abstract
PURPOSE: To examine the effects of Hodgkin's lymphoma and its treatment on reproductive health in female adolescent and young adults (AYA). METHODS: We conducted a retrospective, population-based, matched-cohort study of female patients with Hodgkin's lymphoma diagnosed at 15-39 years of age from 1995 to 2014 in Ontario, Canada. Three female individuals with no history of cancer (unexposed) were matched by birth year and census subdivision to each patient with cancer (exposed). In a subset of the cohort (2005 onwards), the Hodgkin's lymphoma patients were further classified into two groups for analysis based on treatment exposure: (1) chemotherapy alone or (2) combined chemotherapy and radiation. Reproductive health outcomes were infertility, childbirth, and premature ovarian insufficiency (POI). Relative risks (RR) were calculated using modified Poisson regression adjusted for income quintile, immigration status, and parity. RESULTS: A total of 1443 exposed and 4329 unexposed individuals formed our cohort. Hodgkin's lymphoma patients were at an increased risk of infertility (aRR 1.86; 95% CI 1.57 to 2.20) and POI (aRR 2.81; 95% CI 2.16 to 3.65). While the risk of infertility persisted in both treatment groups (chemotherapy alone, combined chemotherapy plus radiotherapy), the increased risk of POI was only statistically significant in the chemotherapy plus radiotherapy group. No differences in childbirth rates were observed, overall or by treatment exposure compared with unexposed individuals. CONCLUSIONS: Female AYA survivors of Hodgkin's lymphoma face an increased risk of infertility, independent of exposure to chemotherapy alone, or chemotherapy plus radiotherapy. The risk of POI is higher in those requiring radiotherapy vs. chemotherapy alone. IMPLICATIONS FOR CANCER SURVIVORS: These results emphasize the importance of pre-treatment fertility counseling and reproductive health surveillance for AYAs diagnosed with Hodgkin's lymphoma.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".