Waist Girth Does Not Predict Metabolic Complications in Severely Obese Men
Bibliographic record
Abstract
The epidemic of obesity has received considerable attention because of its increasing prevalence and its deleterious impact on health. In this regard, the metabolic syndrome has been recognized as a prevalent cause of cardiovascular disease, and the National Cholesterol Education Program Adult Treatment Panel III guidelines have proposed clinical tools for the identification of individuals characterized by this syndrome. However, there is considerable metabolic heterogeneity among equally overweight/ obese individuals. While some patients show a relatively “normal” metabolic risk profile despite being obese, others who are moderately overweight can nevertheless be characterized by metabolic complications. Thus, it is not uncommon to find severely obese patients with minimal changes in their metabolic risk profile, suggesting that they may be at lower cardiovascular disease risk than what could be expected from their massive obesity. Therefore, the aim of the present study was to examine the relationships between selected features of the metabolic syndrome and waist circumference as a crude marker of abdominal obesity in moderately and severely obese men.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".