Visceral adiposity in young patients with coronary artery disease—a case control study
Bibliographic record
Abstract
AIMS: Central obesity is associated with an increased cardiovascular risk. We carried out a hospital based case control study in young patients with coronary artery disease (CAD) to assess the importance of visceral fat METHODS: Coronary artery disease was established by coronary angiogram in all cases. Controls were age- and sex-matched subjects with normal coronary angiogram. Computed tomography scan performed at the level of the umbilicus to measure subcutaneous and visceral fat area (VFA). RESULTS: Cases and controls were well matched in height, weight, and body mass index (BMI). Visceral fat area was significantly higher (122.58 ± 37.59 vs. 88.4 ± 36.95 cm(2); P=0.003) in cases whereas subcutaneous fat area was similar in cases and controls. Visceral fat area was an excellent predictor of cardiovascular risk (area under receiver operating characteristics curve 0.915 cm(2)). Visceral fat area correlated with BMI, waist hip ratio, blood sugar, triglycerides, and C-reactive protein significantly. CONCLUSION: Visceral adiposity is associated with an increased risk of CAD and it correlated with anthropometric, metabolic, and inflammatory markers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".