Low vs Standard Pressures in Gynecologic Laparoscopy: a Systematic Review
Bibliographic record
Abstract
BACKGROUND: The optimal intraperitoneal pressure during laparoscopy is not known. Recent literature found benefits of using lower pressures, but the safety of doing abdominal surgery with low peritoneal pressures needs to be assessed. This systematic review compares low with standard pneumoperitoneum during gynecologic laparoscopy. DATABASE: We searched Medline, Embase, and the Cochrane Library for randomized controlled trials comparing intraperitoneal pressures during gynecologic laparoscopy. Two authors reviewed references and extracted data from included trials. Risk ratios, mean differences, and standard mean differences were calculated and pooled using RevMan5. Of 2251 studies identified, three were included in the systematic review, for a total of 238 patients. We found a statistically significant but modest diminution in postoperative pain of 0.38 standardized unit based on an original 10-point scale (95% confidence interval [CI], -0.67 to -0.08) during the immediate postoperative period when using low intraperitoneal pressure of 8 mm Hg compared with ≥ 12 mm Hg and of 0.50 (95% CI, -0.80 to -0.21) 24 hours after the surgery. Lower pressures were associated with worse visualization of the surgical field (risk ratio, 10.31; 95% CI, 1.29-82.38). We found no difference between groups over blood loss, duration of surgery, hospital length of stay, or the need for increased pressure. CONCLUSION: Low intraperitoneal pressures during gynecologic laparoscopy cannot be recommended on the behalf of this review because improvement in pain scores is minimal and visualization of the surgical field is affected. The safety of this intervention as well as cost-effectiveness considerations need to be further studied.
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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 | 0.008 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.008 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".