A Randomized Trial of Sibutramine in the Management of Obese Type 2 Diabetic Patients Treated With Metformin
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effects of sibutramine (15 and 20 mg/day) on weight, metabolic control, and blood pressure in metformin-treated obese subjects with type 2 diabetes. RESEARCH DESIGN AND METHODS: A 12-month randomized prospective placebo-controlled double-blind study was performed. It included 21 primary and secondary care centers in England, Canada, France, and Belgium. A total of 195 subjects (44% male) with type 2 diabetes and a BMI >27 kg/m(2) were studied. Changes were assessed in weight, blood pressure and resting heart rate, HbA(1c), fasting glucose, and lipids. RESULTS: Sibutramine induced significant weight loss (P < 0.001) with both 15 mg/day (5.5 +/- 0.6 kg at 12 months) and 20 mg/day (8.0 +/- 0.9 kg), whereas placebo did not (0.2 +/- 0.5 kg). Weight loss > or = 10% was achieved by 14 and 27% of subjects receiving 15 and 20 mg, respectively, but by none given placebo. Glycemic control improved in parallel with weight loss, and subjects who lost > or = 10% weight showed significant decreases in both HbA(1c) (1.2 +/- 0.4%, P < 0.0001) and fasting plasma glucose (1.8 mmol/l, P < 0.001). HDL cholesterol increased slightly with the higher dose, whereas plasma triglycerides fell with both doses, especially in subjects with weight loss of > or = 10% (a 29% decrease, P < 0.01). Treatment was generally well tolerated. Sibutramine treatment raised sitting diastolic blood pressure by > or = 5 mmHg in a higher proportion of patients than did placebo (43% with 15 mg/day vs. 25% with placebo, P < 0.05), but this effect was less evident in subjects who had a weight loss of > or = 10% weight. Pulse rate increased significantly more with sibutramine, being > or = 10 bpm higher in 42% of treated patients versus 17% with placebo (P < 0.01). CONCLUSIONS: Sibutramine can be an effective adjunct to metformin treatment in selected obese type 2 diabetic subjects and improves metabolic control in individuals who lose weight.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".