Malignant Mixed Müllerian Tumor of the Uterus in a Patient Taking Raloxifene
Bibliographic record
Abstract
In Brief BACKGROUND: Uterine malignant mixed mesodermal tumor is a rare variant of uterine cancer. Data suggest that tamoxifen is involved in the pathogenesis. We report a case of a women in whom a malignant mixed mesodermal tumor was diagnosed while she was taking raloxifene, which is also a selective estrogen receptor modulator. CASE: A malignant mixed mesodermal tumor was diagnosed in a 64-year-old woman with a bicornuate uterus while she was taking raloxifene for osteoporosis prevention. Diagnosis had been delayed secondary to sampling of the other uterine horn. CONCLUSION: There may be an association between raloxifene and the development of malignant mixed mesodermal tumor. Special attention should be paid when attempting to sample the endometrium in patients with müllerian abnormalities. Data suggest that tamoxifen is associated with the development of uterine cancer. Other selective estrogen receptor modulators, specifically raloxifene, may also be involved.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".