Laparoscopic Versus Open Colorectal Surgery in the Emergency Setting
Bibliographic record
Abstract
Objective: This systematic review and meta-analysis aimed to compare published outcomes of patients undergoing laparoscopic versus open emergency colorectal surgery, with mortality as primary outcome. Background: In contrast to the elective setting, the value of laparoscopic emergency colorectal surgery remains unclear. Methods: PubMed, Embase, the Cochrane Library, and CINAHL were searched until January 6, 2021. Only comparative studies were included. Meta-analyses were performed using a random-effect model. The Cochrane Risk of Bias Tool and the Newcastle-Ottawa Scale were used for quality assessment. Results: Overall, 28 observational studies and 1 randomized controlled trial were included, comprising 7865 laparoscopy patients and 55,862 open surgery patients. Quality assessment revealed 'good quality' in 16 of 28 observational studies, and low to intermediate risk of bias for the randomized trial. Laparoscopy was associated with significantly lower postoperative mortality compared to open surgery (odds ratio [OR] 0.44; 95% confidence interval [CI], 0.35-0.54). Laparoscopy resulted in significantly less postoperative overall morbidity (OR, 0.53; 95% CI, 0.43-0.65), wound infection (OR, 0.63; 95% CI, 0.45-0.88), wound dehiscence (OR, 0.37; 95% CI, 0.18-0.77), ileus (OR, 0.68; 95% CI 0.51-0.91), pulmonary (OR, 0.43; 95% CI, 0.24-0.78) and cardiac complications (OR, 0.56; 95% CI, 0.35-0.90), and shorter length of stay. No meta-analyses were performed for long-term outcomes due to scarcity of data. Conclusions: The systematic review and meta-analysis suggest a benefit of laparoscopy for emergency colorectal surgery, with a lower risk of postoperative mortality and morbidity. However, the almost exclusive use of retrospective observational study designs with inherent biases should be taken into account.
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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 | 0.019 | 0.049 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.024 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".