Aromatase inhibition in relapsing low malignant potential serous tumours of the ovary
Bibliographic record
Abstract
Low malignant potential serous tumours (LMPSTs) of the ovary represent an indolent disease, with an excellent prognosis in a majority of patients. Patients with recurrent LMPSTs tend to develop widespread disease with a mortality rate as high as 70%. These tumours tend to have a very poor response to standard chemotherapy, and the management of primary and recurrent disease beyond surgical resection is not well defined. The majority of LMPST have been reported to express oestrogen and progesterone hormone receptors. However, only three reported cases of antihormonal treatment in this setting, and only one using aromatase inhibitors (AI), have been previously reported. We herein report long-term complete remission of two patients with relapsed, chemotherapy-resistant LMPSTs, treated with long-term AI (anastrozole 1 mg daily) as per negative MRI and positron emission tomography scans. Our results warrant further investigation for the use of AIs for metastatic recurrent LMPSTs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".