Stage II squamous cell carcinoma of the vagina in a patient with Bloom syndrome: a case report.
Bibliographic record
Abstract
BACKGROUND: Bloom syndrome (BS) is a rare autosomal recessive disorder characterized by dwarfism and a predisposition to cancer. Squamous cell vaginal cancer is also quite rare and has not before been reported in association with BS. CASE: A 37-year-old woman, para 0-0-2-0, with BS was referred to the gynecologic oncology service for a suspicious mass in the vagina associated with dyspareunia and vaginal bleeding. Previous biopsies were consistent with high grade vaginal dysplasia, however, thorough surgical evaluation ultimately demonstrated stage II vaginal cancer. After consultation with a gynecologic oncologist and radiation oncologist, an adjuvant treatment plan was created for external beam radiation with cisplatin potentiation followed by intracavitary brachytherapy. CONCLUSION: BS is an excellent model of human cancer in general. These patients are diagnosed with cancers at an earlier age and higher rate than is the general population, but the distribution of cancer type seems to be similar to that in the general population. Treatment of cancers in this population is largely similar to that of the general population. There is no known treatment to decrease the occurrence of neoplasia in BS patients other than strict adherence to all known cancer surveillance screening modalities.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.003 |
| 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".