Randomized Controlled Trial Comparing Single-Port Laparoscopic Cholecystectomy and Four-Port Laparoscopic Cholecystectomy
Bibliographic record
Abstract
OBJECTIVE: To compare short-term surgical outcomes and quality of life (QOL) between single-port laparoscopic cholecystectomy (SPLC) and classic 4-port laparoscopic cholecystectomy (CLC). BACKGROUND: There is significant interest in further reducing the trauma associated with surgical procedures. Although a number of observational studies have suggested that SPLC is a feasible alternative to CLC, there is a lack of data from randomized studies validating any benefit over CLC. METHODS: Eligible patients were randomized to receive SPLC or CLC. Operative and perioperative outcomes, including cosmesis and QOL were analyzed. RESULTS: Forty-three patients were randomized to SPLC (n = 21) or CLC (n = 22). There were no significant differences between groups for most preoperative demographics, American Society of Anesthesiology score, gallstone characteristics, local inflammation, blood loss, or length of stay. Patients undergoing SPLC were older than those receiving CLC (57.3 years vs. 45.8 years, P < 0.05). Operative times for SPLC were greater than CLC (88.5 minutes vs. 44.8 minutes, P < 0.05). Overall and cosmetic satisfaction, QOL as determined by the SF-36 survey, postoperative complications, and post-operative pain scores between discharge and 2-week postoperative visit were not significantly different between groups. Wound infection rates were similar in both groups. The SPLC group contained 1 retained bile duct stone, 1-port site hernia, and 1 postoperative port site hemorrhage. CONCLUSIONS: SPLC procedure time was longer and incurred more complications than CLC without significant benefits in patient satisfaction, postoperative pain and QOL. SPLC may be offered in carefully selected patients. Larger randomized trials performed later in the learning curve with SPLC may identify more subtle advantages of one method over another.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".