Bibliographic record
Abstract
OBJECTIVE: The increasing prevalence of obesity has led to an increased use of bariatric surgery in the treatment of severely obese individuals. The characteristics of patients undergoing bariatric procedures outside of clinical studies and on a national level have not previously been reported. RESEARCH METHODS AND PROCEDURES: Acute-care hospital discharge data from the Canadian Institute for Health Information were analyzed to determine the demographic and clinical features and in-hospital mortality rates of individuals undergoing bariatric surgery in Canada. Data from individuals undergoing surgery in fiscal year 2002/2003 were compared with data from 1993/1994. RESULTS: Over 1100 bariatric surgeries were performed in Canada in 2002/2003, with the vast majority being performed in middle-aged women. Ten percent of patients had hypertension or diabetes, and only 1% or fewer had dyslipidemia or cardiovascular or cerebrovascular disease. Compared with 1993/1994, patients undergoing surgery in 2002/2003 were older, more likely to have diabetes or hypertension, and had shorter hospital stays. In-hospital mortality rates were <1% in both years. DISCUSSION: In the last decade, there has been a small increase in the average age and the number of patients with concomitant cardiovascular risk factors who are undergoing bariatric procedures in Canada. However, the vast majority of surgeries are being performed in middle-aged women with little cardiovascular comorbidity, and this is likely contributing to very low in-hospital death rates. Such individuals likely represent a highly selected sample of severely obese patients within Canada.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".