Evaluation of Two Management Strategies for Preoperative Grade 1 Endometrial Cancer
Bibliographic record
Abstract
OBJECTIVE: To compare the practices, adjuvant treatment, and outcomes of patients with preoperatively assessed grade 1 endometrioid endometrial cancer between two academic gynecologic oncology centers that use different treatment strategies. METHODS: A retrospective analysis was performed at Duke University Medical Center (Duke) and the Toronto Sunnybrook Regional Cancer Center (Sunnybrook) between 1991 and 2007. Patients at Duke generally underwent surgical staging unless intraoperative assessment identified a negligible risk of nodal disease. Patients at Sunnybrook generally did not undergo surgical staging. RESULTS: A total of 494 patients (272 from Duke and 222 from Sunnybrook were identified with preoperative, central-review-confirming, grade 1, endometrioid, endometrial cancer. Groups were similar in grade, final histology, type of hysterectomy, and length of hospital stay. Patients from Sunnybrook were older (aged 62 years compared with 59 years, P=.001) and were more likely to have capillary lymphatic space involvement (18.2% compared with 8.3%, P=.003) and cervical involvement (12.2% compared with 3.7%, P<.001). Approximately 2% of cases were upgraded to high grade on final specimen. Lymphadenectomy was performed on 49.4% of patients at Duke compared with 11.7% of patients at Sunnybrook. Overall 3-year survival was 96% at Duke and 96% at Sunnybrook (P=.217). Three-year recurrence-free survival was 96% at Duke and 95% at Sunnybrook (P=.327). CONCLUSION: Despite differences in practice and slight differences in patient populations, the recurrence-free and overall survival of women with preoperative centrally reviewed grade 1 endometrial cancer is excellent and without statistically significant difference between the two centers. LEVEL OF EVIDENCE: III
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".