Cervical Carcinoma Presenting as Postmenopausal and Postcoital Bleeding in Two Women Over Age 60: A Case Series and Future Directions
Bibliographic record
Abstract
Background/IntroductionCervical cancer often presents silently until advanced stages. Postmenopausal and postcoital bleeding in older women is often underestimated or misattributed.Problem Highlighted by the Case(s)This report discusses two women over 60 presenting with atypical bleeding and a hard cervical mass found during pelvic exam—highlighting the need for timely evaluation of alarming gynecologic symptoms.Case PresentationA 68-year-old woman with postmenopausal bleeding and a 64-year-old woman with postcoital bleeding who presented one week apart. On physical examination, they were both found to have a hard, fixed cervical mass on bimanual pelvic examination. Both patients had Cervical biopsy done and samples were sent for Histopathology. Findings revealed squamous cell carcinoma -Keratinizing type. Conclusion/OutcomeThese cases underscore the importance of not dismissing abnormal vaginal bleeding in postmenopausal women. Early pelvic exam and prompt biopsy can facilitate diagnosis and treatment of cervical malignancy. In addition, much emphasis should be placed on health education and early screening
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".