GYNAECOLOGY Laparoscopic Surgery for Endometrial Cancer: A Review
Bibliographic record
Abstract
Uterine cancer is the fourth most common cancer in Canadian women, with an estimated 4200 new cases and 790 disease-related deaths in 2008. We investigated the domains that are important for further implementation of minimally invasive surgery for the management of endometrial cancer by performing a literature review to assess the available data on overall and disease-free survival in laparoscopic versus open surgery. We also investigated the influence of patient-related factors, surgical factors, quality of life, and cost implications. Among the 23 articles reviewed, five were randomized controlled trials (RCTs), four were prospective reviews, and 14 were retrospective reviews. The RCTs showed no difference in overall and disease-free survival for patients with endometrial cancer who had undergone laparoscopic hysterectomy compared with open surgery. Morbid obesity is a limiting factor for the feasibility of complete laparoscopic
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".