Reduced left ventricular mass after treatment of obese patients with sibutramine: an echocardiographic multicentre study
Bibliographic record
Abstract
AIM: In obesity, left ventricular hypertrophy is frequently observed, especially in the presence of hypertension. Following body weight reduction, the left ventricular mass (LVM) is reduced. It is not known to which extent this occurs after treatment with sibutramine. METHODS: In this multicentre trial, 195 male and female patients (18-65 years of age, body mass index 30-40 kg/m2) were treated for 12 weeks with either 15 mg/day sibutramine or placebo. They were advised to follow mildly hypocaloric reducing diets. Exclusion criteria were blood pressure values >180/110 mmHg and tachycardia (heart rate > or =100 beats/min). Echocardiography in M-mode was performed to determine LVM as well as systolic function. RESULTS: Body weight was reduced by 6.9 +/- 0.3 kg under sibutramine and by 2.1 +/- 0.6 kg under placebo; body fat was reduced by 5.2 +/- 0.4 kg and 1.6 +/- 0.7 kg respectively. In the sibutramine group, LVM was reduced by 10.9 +/- 24.2 g; LVM indexed for body surface area was reduced by 2.3 +/- 11.8 g/m2 and LVM indexed for body height was reduced by 2.5 +/- 6.0 g/m(2.7). In the placebo group, LVM and LVM indices were not significantly changed. Changes in LVM correlated with reductions in body weight and initial LVM but not with changes in blood pressure or heart rate. CONCLUSIONS: After 3 months of treatment with sibutramine, obese patients lost about three times as much of body weight and LVM than patients treated with placebo. Therefore, sibutramine may be recommended not only to reduce body weight but also to obtain a regression of the LVM in obese patients with and without hypertension.
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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 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".