Minilaparoscopic Versus Conventional Laparoscopic Cholecystectomy
Bibliographic record
Abstract
OBJECTIVE: This review broadly examines the impact of minilaparoscopic versus conventional laparoscopic cholecystectomy. The primary outcome was failure of surgical technique. The secondary outcomes were to examine adverse events, cosmesis, length of time to return to activity, quality of life, and length of operation. METHODS: Five databases, 2 conference proceedings, reference lists of retrieved articles, and a Web-based trial registry were searched to identify eligible studies. Experts in the field of laparoscopic surgery were also contacted to provide information for the review.This systematic review and meta-analysis were conducted in accordance with the QUORUM guidelines. RESULTS: Eighteen studies met eligibility criteria. Methodologic quality was unclear in most trials. Patients having a minilaparoscopic technique had higher conversion rates than patients having a conventional laparoscopic technique [OR 2.25 (1.18-4.30)]. Although minilaparoscopic surgeries were converted, more often there was not a trend toward increased conversion to an open technique. There was a trend toward fewer adverse events using a minilaparoscopic technique [0.57 (0.31-1.04)], however it was not significant. Cosmesis was improved in minilaparoscopic patients at 1 month [mean difference −0.74(−1.09 to −0.38)]. Patients receiving minilaparoscopic procedures returned to activity quicker [mean difference −0.74 (−1.23–0.25)]. CONCLUSIONS: Further randomized trials are needed to determine whether minilaparoscopic techniques truly offer any advantages. Important patient outcomes such as failure of technique, adverse events, cosmesis, and quality of life should be emphasized to determine whether there is any benefit over conventional laparoscopic cholecystectomy.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".