Effect of Orlistat in Obese Patients With Heart Failure: A Pilot Study
Bibliographic record
Abstract
Heart failure is the leading cause of hospitalization. Obesity is increasingly common and is a major public health problem. The aim of this study is to assess whether obese patients with heart failure can benefit from losing weight via an orlistat-assisted diet. This randomized clinical trial included obese patients with ejection fractions < or =40%. Orlistat and diet counseling were compared with diet counseling alone. Twenty-one consecutive obese patients with heart failure were recruited. Significant improvement in 6-minute walk test (45.8 m; 95% confidence interval, 5.2-86.4 m; p=0.031), functional class (-0.6+/-0.5, p=0.014), weight loss (-8.55 kg; 95% confidence interval, -13.0 to -4.1 kg; p<0.001) and also significant decreases in total cholesterol (p=0.017), low-density lipoprotein cholesterol (p=0.03), and triglycerides (p=0.036) were observed in the orlistat group. Orlistat can promote significant weight loss and symptoms of relief in obese patients with heart failure, as measured by 6-minute walk test and functional capacity. The lipid profile improved. Orlistat was safe and well tolerated.
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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 | 0.000 |
| 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".