Long-Term Toxicities of Adolescent and Young Adults Who Underwent Radiation Therapy for Cervix Cancer: A Cross-Sectional Analysis
Bibliographic record
Abstract
Purpose: Survivors of adolescent and young adult (AYA) cervical cancer who undergo radiation therapy are at risk of significant long-term health sequelae. We seek to evaluate long-term toxicities and their impacts on survivors. Methods: Patients treated for cervical cancer with radiation therapy between ages 18 and 39 in the years 2000–2010 in British Columbia were eligible. One hundred eligible patients were identified and mailed a package containing a questionnaire devised by a multidisciplinary team and validated patient-reported quality of life surveys for patients with cervical cancer, the European Organization for Research and Treatment of Cancer (EORTC) QLQ-30 and CX-24. Results: A total of 22 responses were received. The average time since treatment was 17.0 years (range 12–22). Fertility preservation prior to treatment was discussed with 41% of respondents and offered to 36%. A single respondent had a child after treatment through adoption. The mean EORTC Quality of Life score was rated as 63.9. Mean functional status scores include 84.4, 83.3, 67.1, 70.6, and 77 for physical, role, emotional, cognitive, and social functioning, respectively. Elevated symptom scores include sexual/vaginal functioning (53.5), sexual worry (55.6), diarrhea (38.1), body image concerns (41.7), peripheral neuropathy (39.7), and menopausal symptoms (38.1). Many patients (32%) indicated sexual and vaginal health symptoms impacting quality of life. Other common symptoms include permanent bowel changes (27%), bladder changes (27%), mood disorders (27%), and lymphedema (18%). Multiple respondents (18%) commented on regrets for not pursuing fertility preservation. Conclusions: Long-term survivors of AYA cervix cancer have significant concerns, mood disorders, premature menopausal symptoms, and fertility issues. Respondents indicated a desire for improved fertility counseling.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".