Weight Loss and Outcomes in Wait-listed, Medically Managed, and Surgically Treated Patients Enrolled in a Population-based Bariatric Program
Bibliographic record
Abstract
BACKGROUND: Multidisciplinary bariatric care is increasingly being delivered in Canada within publicly funded regional programs. Demand is high, wait lists are long, and clinical effectiveness is unknown. OBJECTIVE: To examine the "real-world" outcomes associated with a publicly funded, population-based regional bariatric (medical and surgical) program. RESEARCH DESIGN: Prospective observational cohort. SUBJECTS: Five hundred consecutive patients (150 wait-listed, 200 medically treated, 150 surgically treated) from the Edmonton Weight Wise program were enrolled. MEASURES: The primary outcome was weight change (kg). Between-group changes were analyzed using multivariable regression adjusted for age, sex, and baseline weight and "last-observation-carried-forward" was used for missing data. Subjects transitioning between groups (wait-list to medical or medical to surgery) were censored when crossing over. RESULTS: At baseline, mean age was 43.7 ± 9.6 years, mean body mass index was 47.9 ± 8.1 kg/m, and 88% were female. A total of 412 subjects (82%) completed 2-year follow-up and 143 (29%) subjects crossed over to the next treatment phase. Absolute and relative (% of baseline) mean weight reductions were 1.5 ± 8.5 kg (0.9 ± 6.1%) for wait-listed, 4.1 ± 11.6 kg (2.8 ± 8.1%) for medically treated, and 22.0 ± 19.7 kg (16.3 ± 13.5%) for surgically treated (P<0.001) subjects. For surgery, weight reductions were 7.0 ± 9.7 kg (5.8 ± 7.9%) with banding, 21.4 ± 16.0 kg (16.4 ± 11.6%) with sleeve gastrectomy, and 36.6 ± 19.5 kg (26.1 ± 12.2%) with gastric bypass (P<0.001). Rates of hypertension, diabetes, and dyslipidemia decreased to a significantly greater degree with surgery than medical management (P<0.001) and stayed the same or increased in wait-listed subjects. CONCLUSIONS: Population-based bariatric care, particularly bariatric surgery, was clinically effective. Weight and cardiometabolic risk was relatively stable wait-listed patients receiving "usual care."
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".