Bibliographic record
Abstract
OBJECTIVE: To perform a systematic review and meta-analysis evaluating the risk of reoperation, wound infection, incisional hernia, anastomotic leak, and all-cause mortality associated with laparoscopic vs open bariatric surgery at a minimum of 12 months' follow-up. DATA SOURCES: We systematically searched the Cochrane Library, EMBASE, and MEDLINE databases through June 1, 2010, for randomized controlled trials comparing laparoscopic with open bariatric surgery. STUDY SELECTION: We included all randomized controlled trials that reported weight loss outcomes and complications at a minimum of 12 months' follow-up and had a minimum of 50 patients. We identified 6 randomized controlled trials, which randomized 510 patients. DATA EXTRACTION: Data were extracted by 2 reviewers on study design, baseline characteristics, and surgical procedure. The outcome data extracted included change in weight and body mass index and the incidence of reoperation, wound infection, incisional hernia, anastomotic leak, and all-cause mortality. DATA SYNTHESIS: We used random-effects models, which accounted for within-study and between-study variability, to estimate pooled risk ratios (95% CIs). Compared with open surgery, laparoscopic surgery was associated with lower risk of wound infection (relative risk [RR], 0.21; 95% CI, 0.07-0.65) and incisional hernia (RR, 0.11; 95% CI, 0.03-0.35). The risk of reoperation (RR, 1.06; 95% CI, 0.70-1.61), anastomotic leak (RR, 0.64; 95% CI, 0.14-2.95), and all-cause mortality (RR, 0.86; 95% CI, 0.22-3.28) may be similar for laparoscopic and open bariatric surgery. CONCLUSION: Laparoscopic surgery may be a safer treatment than open surgery for patients requiring bariatric surgery.
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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 | 0.037 | 0.108 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.030 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".