A Randomized Clinical Trial Comparing Laparoscopic and Vaginal Hysterectomy for Benign Disease: An Egyptian University Hospital Experience
Bibliographic record
Abstract
Objective: This research compared laparoscopic hysterectomy (LH) and vaginal hysterectomy (VH) for operative time, complications, postoperative pain, inflammatory response, hospital stay, and costs. Materials and Methods: A randomized controlled trial compared LH and VH for 80 patients equally allocated to undergo either for benign pathology (Canadian Task Force Classification I). Results: Mean operative time was significantly higher for LH (127.5 ± 25.9 minutes; 95% confidence interval [CI]: 119.2, 135.8) than for VH (104 ± 30.8 minutes; 95% CI: 94.2, 113.9); p = 0.0004. There was no significant difference in median blood loss (LH: 250 mL and VH: 235 mL); p = 0.7983). There was a strong positive correlation between operative time and estimated uterine weight, especially for VH. Adnexal surgery was performed as planned preoperatively in 62.5% of LHs versus 27.5% of VHs; p < 0.0035. Both groups were comparable regarding intra- and postoperative complications ( p = 1.0). Median postoperative pain intensity was lower in LH than in VH at 2 hours (51 versus 64.5; p = 0.0038), 6 hours (38.5 versus 46; p = 0.0009), and 24 hours (24.5 versus 36.5; p < 0.0001). Inflammatory response did not differ between the groups, neither as postoperative fever (7.5% of LH versus 2.5% of VH; p = 0.6153) nor as postoperative C-reactive protein rise (median: 57.4 mg/L for LH; 41.6 mg/L for VH; p = 0.1489). There was no difference in hospital stay (LH median: 35.5 hours; VH median: 30 hours; p = 0.6991). Costs for LH were higher (LH median: 5525 Egyptian pounds (EGPs), 335 US dollars (USD); VH median: 3400 EGPs, 207 USD; p < 0.0001). Conclusions: LH has longer operative time, yet better postoperative pain profile, than VH. However, cost considerations make LH fall behind VH as a primary choice for benign hysterectomy, especially in low-resource settings. (J GYNECOL SURG 38:400)
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".