Early results of a Canadian laparoscopic sleeve gastrectomy experience
Bibliographic record
Abstract
BACKGROUND: Sleeve gastrectomy (SG) is a relatively new bariatric procedure with a number of advantages compared with Roux-en-Y gastric bypass. However, SG also has a number of disadvantages and associated risks. We sought to examine perioperative complications and outcomes of laparoscopic SG (LSG) in a single major Canadian bariatric surgery centre (Victoria, BC). METHODS: Since June 2008, LSG has been performed at our centre and we reviewed the cases of all patients. We conducted a retrospective chart review in April 2010. RESULTS: Thirty-four patients had LSG, and none was lost to follow-up. Indications for LSG over other bariatric procedures were patient preference (n=28), severe obesity with a body mass index (BMI) greater than 60 kg/m(2) (n=5) and severe upper abdominal adhesions (n=1). All but 1 of the cohort were women, and the average age was 48 (standard deviation [SD] 11) years. Preoperatively, the average BMI was 50.3 (SD 7.7) kg/m(2). Preoperative obesity-related comorbidity rates were 56% (n=19) for type 2 diabetes mellitus (T2DM), 50% (n=17) for hypertension, 32% (n=11) for dys lipidemia, 62% (n=21) for obstructive sleep apnea (OSA), 62% (n=21) for knee and/or hip pain and 44% (n=15) for depression and/or anxiety. The mean duration of surgery was 74 (SD 21) minutes. There were 2 major perioperative complications: 1 staple line leak and 1 staple line hemorrhage. The median stay in hospital was 1 day. Postoperative upper gastrointestinal imaging studies were conducted in 11 patients; 1 was positive for staple line leak. Histopathology on the excised gastric segments revealed chronic helicobacter pylori gastritis in 2 patients and small gastrointestinal stromal tumours in 1 patient. The mean postoperative follow-up interval was 10 months. Weight loss averaged 27.4 (SD 9.0) kg. Overall weight loss was 3.3 (SD 1.8) kg/month. Resolution occurred in 74% of patients with T2DM, 53% with hypertension, 45% with dyslipidemia, 76% with OSA, 38% with joint pain and 20% with depression/anxiety. Overall satisfaction was rated as excellent by 68% of patients, good by 29% and poor by 3% of patients. CONCLUSION: Preliminary analysis of our experience with LSG indicates that this is an effective and safe procedure for the treatment of obesity.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".