Adjuvant treatment of endometrial cancers: systematic review and perspectives
Bibliographic record
Abstract
The various adjuvant treatments to be proposed for endometrial cancers, alone or in combination are external beam radiotherapy (EBRT), vaginal brachytherapy (VBT), chemotherapy, targeted therapies and/or immunotherapy. In our systematic review, we will attempt to detail the various therapeutic indications, taking into account the latest technical advances and the inclusion of molecular factors in the new classification. Endometrial cancer is very common gynecological tumor in developed countries, due to increasing life expectancy. Generally discovered at the localized stage (70%), the standard treatment remains surgery, including total hysterectomy with bilateral salpingo oophorectomy and lymph node dissection or sentinel biopsy of pelvic +/- para-aortic nodes. The choice of adjuvant treatment depends essentially on clinico-pathological risk factors. Recently, a new molecular classification has identified 4 subgroups with different prognoses to be taken into account when choosing adjuvant treatments.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".