Female reproductive health in pediatric, adolescent, and young adult cancer survivors
Bibliographic record
Abstract
An estimated 500,000 cancer survivors of reproductive age in the United States will live to experience the long-term consequences of cancer treatment. Therefore, a focused aspect of cancer care has appropriately shifted to include quality of life in survivorship. Infertility is a late effect of therapy that affects 12% of female survivors of childhood cancer receiving any cancer treatment in large cohort studies and results in a 40% decreased likelihood of pregnancy in young adults of ages 18-39 years. Nonfertility gynecologic late effects such as hypoestrogenism, radiation-induced uterine and vaginal injury, genital graft-versus-host disease after hematopoietic stem cell transplant, and sexual dysfunction also significantly affect quality of life in survivorship but are underdiagnosed and require consideration. Several articles in the special edition "Reproductive Health in Adolescent and Young Adult Cancer Survivorship" address infertility, genital graft-versus-host disease, and psychosexual functioning in survivorship. This review article focuses on other adverse gynecologic outcomes of cancer therapies including hypogonadism and hormone replacement therapy, radiation-induced uterovaginal injury, vaccination and contraception, breast and cervical cancer screening, and pregnancy considerations in survivorship.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".