Bibliographic record
Abstract
The use of operative laparoscopy in gynecologic oncology has paved the way to a more conservative approach in radical treatments of some cancers, particularly cervical cancer. After the vaginal approach which shortens the hospital stay and the morbidity of a radical hysterectomy, a new fertility-preserving radical treatment has been proposed : the Radical Vaginal Trachelectomy (RVT). This technique has been used since 1991 in our institution. Until July 1999, 37 patients with early-stage cervical cancer desiring to retain their fertility were treated by a laparoscopic pelvic lymphadenectomy (LPL) and RVT. The median age was 32 (22-42), and 25 were nulliparous. Twelve were FIGO stage Ia2, 22 Ib1, 2 IIa and one Ia1 (VSI+). Most of the tumors were squamous (23), grade I (21), and the lesion was 2cms or less in 35 patients. Median operating time was 275 minutes ( 200 for the last 10 cases), and blood loss 200cc. Complications were mainly due to the LPL (3 arterial injuries) rather than the RVT (one iatrogenic cystotomy and one parametrial bleeding). The mean follow-up is 42 months. Two patients recurred including one who had a small-cell neuroendocrine tumor. Ten patients had a total of 13 pregnancies with 7 live births. One newborn died of E.coli-septicemia. Two patients had early miscarriages and 2 second trimester abortions (17 and 20 weeks). Two patients are still pregnant. LPL-RVT seems to be a good treatment modality for early-stage cervical cancer. It preserves fertility without lowering the chances of survival.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.034 | 0.012 |
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".