Premature Menopause in Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Childhood cancer survivors who retain ovarian function after completing cancer treatment are at increased risk of developing premature menopause, defined as cessation of menses before age 40 years. However, published data pertaining to the risk and frequency of premature menopause are limited. METHODS: We assessed the incidence of and risk factors for premature menopause in 2819 survivors of childhood cancer who were older than 18 years and were participants in the multicenter Childhood Cancer Survivor Study (CCSS). The comparison group was 1065 female siblings of participants in the CCSS. A multiple Poisson regression model was constructed to determine risk factors for nonsurgical premature menopause. All statistical tests were two-sided. RESULTS: A total of 126 childhood cancer survivors and 33 control siblings developed premature menopause. Of these women, 61 survivors (48%) and 31 siblings (94%) had surgically induced menopause (rate ratio [RR] = 0.8, 95% confidence interval [CI] = 0.52 to 1.23). However, the cumulative incidence of nonsurgical premature menopause was higher for survivors than for siblings (8% versus 0.8%; RR = 13.21, 95% CI = 3.26 to 53.51; P<.001). A multiple Poisson regression model showed that risk factors for nonsurgical premature menopause included attained age, exposure to increasing doses of radiation to the ovaries, increasing alkylating agent score (based on number of alkylating agents and cumulative dose), and a diagnosis of Hodgkin lymphoma. For survivors who were treated with alkylating agents plus abdominopelvic radiation, the cumulative incidence of nonsurgical premature menopause approached 30%. CONCLUSIONS: The results of this study will facilitate counseling current survivors about their future risk of premature menopause and aid in designing new regimens that seek to diminish late ovarian toxicity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.001 |
| 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