Effects of One Year Treatment of Sibutramine on Insulin Resistance Parameters in Type 2 Diabetic Patients
Post-publication record
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Bibliographic record
Abstract
PURPOSE: Comparison of the effects of one year treatment with sibutramine compared to placebo on insulin resistance parameters, body weight, glycemic control, and lipid profile, in type 2 diabetic patients. METHODS: Two hundred and forty-six patients with uncontrolled type 2 diabetes mellitus in therapy with different oral hypoglycemic agents or insulin were enrolled in this study and randomised to take sibutramine 10 mg or placebo for one year. We evaluated at baseline, and after 3, 6, 9, and 12 months these parameters: homeostasis model assessment insulin resistance index (HOMA-IR), retinol binding protein-4 (RBP-4), resistin, visfatin, and high sensitivity-C reactive protein (Hs-CRP), body weight, body mass index (BMI), glycated hemoglobin (HbA(₁c)), fasting plasma glucose (FPG), post-prandial plasma glucose (PPG), fasting plasma insulin (FPI), total cholesterol (TC), low density lipoprotein-cholesterol (LDL-C), high density lipoprotein-cholesterol (HDL-C), and triglycerides (T(g)). RESULTS: A faster decrease of HOMA-IR, resistin, and RBP-4 was recorded with sibutramine compared to the control group. We observed a significant decrease of Hs-CRP in both groups, and a faster improvement of HbA(₁c), FPG and PPG with sibutramine compared to the control group; furthermore we recorded a decrease of FPI, TC, LDL-C, body weight, and BMI in the sibutramine group, but not in the control group. CONCLUSIONS: Sibutramine gave a faster improvement of insulin resistance parameters and glycemic control compared to placebo; furthermore sibutramine gave also an improvement of lipid profile, and body weight.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".