Postmenopausal Vaginal and Cervical Cancer Risk Related to In Utero Diethylstilbestrol Exposure
Bibliographic record
Abstract
OBJECTIVES: Women exposed to diethylstilbestrol (DES) in utero have an increased risk of clear cell adenocarcinoma of the lower genital tract, requiring lifelong cervical and vaginal cancer screening. We examined the incidence of DES-related cancers in postmenopausal women 50 years and older. MATERIALS AND METHODS: We conducted a retrospective chart review of patients 50 years and older exposed to DES in utero who received care at our institution. Patients were identified using billing codes and/or searching through the electronic record for the word DES. With this 2-pronged approach, we reviewed a total of 503 charts with confirmed DES exposure to identify gynecologic cancer occurrence. RESULTS: Within the 503 selected charts, 28 cases of gynecologic cancer occurrence were identified. Ten patients had cervical cancer and one patient had vaginal cancer. Only 1 woman of 503 developed a DES-related cervical or vaginal malignancy after age 50 years. No patients were diagnosed with cervical or vaginal cancer after age 65 years. CONCLUSIONS: Diethylstilbestrol-related malignancies are rare in those older than 50 years. Current cervical cancer screening guidelines recommend cessation of screening in an average risk, adequately screened patient at age 65 years, but patients exposed to DES have historically received lifelong screening. However, we found no cases of cervical or vaginal cancer related to DES after age 65 years, suggesting that screening recommendations could be changed for these patients to align with current screening guidelines.
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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 | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".