Could the Long-Term Oncological Safety of Laparoscopic Surgery in Low-Risk Endometrial Cancer also Be Valid for the High–Intermediate- and High-Risk Patients? A Multi-Center Turkish Gynecologic Oncology Group Study Conducted with 2745 Endometrial Cancer Cases. (TRSGO-End-001)
Bibliographic record
Abstract
This study was conducted to compare the long-term oncological outcomes of laparotomy and laparoscopic surgeries in endometrial cancer under the light of the 2016 ESMO-ESGO-ESTRO risk classification system, with particular focus on the high-intermediate- and high-risk categories. Using multicentric databases between January 2005 and January 2016, disease-free and overall survivals of 2745 endometrial cancer cases were compared according to the surgery route (laparotomy vs. laparoscopy). The high-intermediate- and high-risk patients were defined with respect to the 2016 ESMO-ESGO-ESTRO risk classification system, and they were analyzed with respect to differences in survival rates. Of the 2745 patients, 1743 (63.5%) were operated by laparotomy, and the remaining were operated with laparoscopy. The total numbers of high-intermediate- and high-risk endometrial cancer cases were 734 (45%) patients in the laparotomy group and 307 (30.7%) patients in the laparoscopy group. Disease-free and overall survivals were not statistically different when compared between laparoscopy and laparotomy groups in terms of low-, intermediate-, high-intermediate- and high-risk endometrial cancer. In conclusion, regardless of the endometrial cancer risk category, long-term oncological outcomes of the laparoscopic approach were found to be comparable to those treated with laparotomy. Our results are encouraging to consider laparoscopic surgery for high-intermediate- and high-risk endometrial cancer cases.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".