Single-incision versus conventional laparoscopic appendectomy in 688 patients: a retrospective comparative analysis
Bibliographic record
Abstract
BACKGROUND: Laparoscopic surgery has become the standard for treating appendicitis. The cosmetic benefits of using single-incision laparoscopy are well known, but its duration, complications and time to recovery have not been well documented. We compared 2 laparoscopic approaches for treating appendicitis and evaluated postoperative pain, complications and time to full recovery. METHODS: We retrospectively reviewed the cases of consecutive patients with appendicitis and compared those who underwent conventional laparoscopic appendectomy (CLA) performed using 3 incisions and those who underwent single-incision laparoscopic appendectomy (SILA). During SILA, the single port was prepared to increase visibility of the operative site. RESULTS: Our analysis included 688 consecutive patients: 618 who underwent CLA and 70 who underwent SILA. Postsurgical complications occurred more frequently in the CLA than the SILA group (18.1% v. 7.1%, p = 0.018). Patients who underwent SILA returned to oral feeding sooner than those who underwent CLA (median 12 h v. 22 h, p < 0.001). These between-group differences remained significant after controlling for other factors. Direct comparison of only nonperforated cases, which was determined by pathological examination, revealed that SILA was significantly longer than CLA (60 min v. 50 min, p < 0.001). Patients who underwent SILA had longer in-hospital stays than those who underwent CLA (72 v. 55 h, p < 0.001); however, they had significantly fewer complications (3.0% v. 14.4%, p = 0.006). CONCLUSION: In addition to its cosmetic advantages, SILA led to rapid recovery and no increase in postsurgical pain or complications.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".