Association of predicted lean body mass and fat mass with cardiovascular events in patients with type 2 diabetes mellitus
Bibliographic record
Abstract
ardiovascular disease (CVD) is the leading cause of mortality in the United States and worldwide. 1,2 Among several modifiable risk factors for CVD, obesity is recognized as a major risk factor. Body mass index (BMI) is a good measure of obesity; many epidemiologic studies have found that obesity, evaluated by BMI, is associated with increased risk of CVD. owever, recent studies have found that BMI is an imperfect measure of obesity and it does not discriminate between lean body mass and fat mass. Lean body mass (mainly skeletal muscles) has a protective role, whereas fat mass is detrimental. eople with the same BMI may have different body compositions. Furthermore, patients with type 2 diabetes mellitus (T2DM) tend to be overweight and obese compared with those who do not have the disease. 9 Type 2 diabetes mellitus has been shown to be associated with lower lean body mass. The factors (e.g., dietary habit, exercise and age) that may affect lean body mass and fat mass are completely different in these 2 populations. Therefore, lean body mass and fat mass may play different roles in these groups. 7]
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".