A New Technique of Laparoscopic Ovarian Suspension with Microsuture for Adhesion Prevention in Patients Undergoing Fertility Enhancing Surgery
Bibliographic record
Abstract
A new laparoscopic technique of ovarian suspension with microsuture that physically separates the ovary from the ovarian fossa to reduce the incidence of post-operative adhesions is described. Four women with adhesions of the ovary to the ovarian fossa and infertility underwent laparoscopic surgery with ovarian suspension. A 6-0 weight polypropylene swaged to a tapered straight needle was passed laterally to medially through the ipsilateral round ligament, through the mesosalpinx and then through the medial aspect of the ovarian insertion of the utero-ovarian ligament. The needle was then passed back through the mesosalpinx and round ligament and tied. The technique, technical feasibility, ease of procedure and post-operative complication rate is detailed. This technique separates the ovarian surface from the peritoneum of the ovarian fossa yet maintains the normal adnexal anatomy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".