Effects of Single-Agent and Combination Chemotherapy for Gestational Trophoblastic Tumors on Risks of Second Malignancy and Early Menopause
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: To assess the risks of second malignancy and early menopause in a large cohort of patients with gestational trophoblastic tumor who were treated with chemotherapy. PATIENTS AND METHODS: A survey of patients treated at Charing Cross Hospital between 1958 and 2000 was performed in 2006 to assemble incidence data for subsequent malignancies and the age at menopause. Treatment records were reviewed for the regimens and durations, and the incidence of subsequent malignancies was compared with that in the national age-matched population. RESULTS: Data were obtained for 1,903 patients, with a mean follow-up of 16.9 years. Eighty-six patients developed a subsequent malignancy compared with an expected number of 79 (standardized incidence ratio [SIR], 1.1; 95% CI, 0.9 to 1.3). The overall risk was low for patients treated with single-agent methotrexate and folinic acid (MTX-FA; SIR, 0.7; 95% CI, 0.5 to 1.1) and also for patients treated with etoposide, methotrexate, and dactinomycin followed by cyclophosphamide and vincristine on alternating weeks (EMA-CO) with an SIR of 0.9 (95% CI, 0.4 to 2.2), but there were significantly increased risks of oral cancer, melanoma, meningioma, and leukemia. The cumulative risk of early menopause was low after MTX-FA but was substantial after EMA-CO, reaching 13% by age 40 years and 36% by age 45 years. CONCLUSION: Subsequent cancer risks for patients cured of gestational trophoblastic tumors with modern chemotherapy appear similar to those of the normal population with no overall increased risk of malignancy after MTX-FA or EMA-CO. However, there was evidence of an increased risk of leukemia after EMA-CO and some evidence of other site-specific increased risks based on small patient numbers. All major treatments except MTX-FA increased the risk of early menopause.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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