Clinical manifestations and risk factors of coronary artery disease in patients with diabetes mellitus in western Siberia
Bibliographic record
Abstract
OBJECTIVE: To compare the prevalence of cardiovascular risk factors and clinical manifestations of coronary artery disease (CAD) between patients with type 2 diabetes mellitus (DM) and CAD who lived at northern latitudes vs. those who resided at southern latitudes in the Tyumen region, western Siberia. STUDY DESIGN: This retrospective study involved 382 patients with type 2 DM selected from 8,573 patients with angiographic CAD (>50% stenosis). Out of the total, 243 patients were permanent residents at the high latitudes of the Tyumen region ("northern patients"), and 139 patients were permanent residents in areas south of the Tyumen region ("southern patients"). RESULTS: On average, northern patients were younger than southern patients (53 vs. 57 years, respectively). The odds ratio (OR) for living in the north was 2.1 (95% CI 0.99-4.53) for obesity (BMI>or=30 kg/m2), 1.87 (95% CI 1.05-3.31) for smoking, 0.93 (95% CI 0.89-0.96) per 1 year increase in age, 0.84 (95% CI 0.76-0.94) per 1 mmol/L increase of fasting plasma glucose, and 1.15 (95% CI 1.04-1.28) per 1 mm increase of right ventricular end-diastolic diameter. The proportion of patients with 3 or more CAD risk factors was higher in the north. Most patients in both groups had a history of myocardial infarction, severe angina in class III/IV as defined by the Canadian Cardiovascular System (CCS), heart failure in class II/IV as defined by the New York Heart Association (NYHA) and hypertension. CONCLUSIONS: A north-south gradient was observed in cardiovascular risk factors among patients with DM and CAD in the Tyumen region. The clinical manifestations of CAD in DM patients at high latitudes were comparable with those of patients who reside south of the Tyumen region of western Siberia, despite the younger age of northern patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".