Laparoscopic sleeve gastrectomy: perioperative outcomes, weight loss and impact on type 2 diabetes mellitus over 2 years
Bibliographic record
Abstract
BACKGROUND: Laparoscopic sleeve gastrectomy (LSG) is an increasingly performed operation for morbid obesity worldwide. To date there has been limited experience in Canada. We report our intermediate results, assessing whether LSG can be safely performed at a Canadian academic teaching hospital and whether it is effective as a bariatric procedure and as metabolic therapy for type 2 diabetes mellitus. METHODS: We performed a retrospective review of all patients who underwent LSG at our institution from Sept. 1, 2007, to June 30, 2011. RESULTS: We included 166 patients (mean age 44 yr, 82% female) in our study. The mean preoperative body mass index was 49.61. At baseline, 87 (52%) patients had type 2 diabetes. For this subgroup, mean preoperative HbA1c and AC glucose were 7.6% and 8.3 mmol/L, respectively. The mean duration of surgery was 93 minutes. Major complications included 1 staple line leak (0.6%), and 2 patients required reintervention for bleeding (1.2%). The mean hospital stay was 2.6 days. Two patients required readmission (1.2%). Seven minor complications occurred (4%). Postoperative excess weight loss was 49.3% at 6 months, 54.2% at 12 months and 64.4% at 24 months. In the type 2 diabetes subgroup, resolution occurred in 78% and improvement in 7% of patients at 12 months. CONCLUSION: Laparoscopic sleeve gastrectomy can be safely performed at Canadian teaching hospitals. It is effective both as a bariatric procedure and as a therapeutic intervention for type 2 diabetes mellitus.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".