Laparoendoscopic Single-Site Surgery for Benign Ovarian Cystectomies
Bibliographic record
Abstract
BACKGROUND: Single-port laparoscopy (LESS) utilizes a single, multichannel port in an attempt to decrease postoperative pain, while enhancing cosmesis and minimizing the potential risks and morbidities associated with the multiple ports used in conventional laparoscopy. METHODS: We performed a retrospective study examining three tertiary care referral centers. From September 2009 until March 2013, 31 patients with ovarian cystic lesions were treated using the LESS technique. A control group of 57 patients who underwent conventional laparoscopic ovarian cystectomy was included for comparison. RESULTS: All patients underwent a technically successful cystectomy. There were no statistically significant differences in the mean operative time or estimated blood loss between the two groups. Narcotic use during the recovery period was reported in less patients in the LESS group than in the laparoscopic group (p = 0.05). CONCLUSIONS: The LESS technique can be used to safely perform cystectomies on women with benign ovarian cysts. Additional investigation is needed to evaluate the safety, cost-effectiveness and long-term outcomes of this new approach.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".