Cardiorenal outcomes in eligible patients referred for bariatric surgery
Bibliographic record
Abstract
OBJECTIVE: Bariatric surgery is associated with reduced atherosclerotic cardiovascular disease (CVD) and heart failure hospitalization in people with type 2 diabetes (T2D) and those with prior CVD. Most patients undergoing bariatric surgery do not have T2D or CVD. Many otherwise eligible patients do not have surgery because of self-exclusion. Clinical outcomes in these groups are less established. METHODS: This study retrospectively assessed cardiorenal outcomes in 8,568 patients after acceptance of referral for surgery. RESULTS: A total of 63.8% patients did not undergo surgery. After multivariate adjustment for sex, age, BMI, income quintile, distance from hospital, hypertension, T2D, and CVD, hazard ratios (HR) for the primary (incident myocardial infarction, stroke, heart failure hospitalization, and death; HR = 0.52, 95% CI: 0.4-0.66) and secondary CVD outcomes (primary outcomes and coronary/carotid revascularization; HR = 0.53, 95% CI: 0.42-0.67) were lower in the surgery cohort. This reduction was seen in those with (primary: HR = 0.45, 95% CI: 0.32-0.63, secondary: HR = 0.47, 95% CI: 0.34-0.65) and without T2D (primary: HR = 0.61, 95% CI: 0.42-0.88, secondary: HR = 0.53, 95% CI: 0.42-0.67). Reduced kidney disease (HR = 0.46, 95% CI: 0.22-0.92) but increased liver disease hospitalization (HR = 2.5, 95% CI: 1.45-4.27) was observed with surgery. CONCLUSIONS: Non-progression to surgery associates with increased CVD despite low baseline prevalence of CVD. The cardiorenal benefits of bariatric surgery warrant confirmation in a well-powered randomized clinical trial.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".