Glucose levels are associated with cardiovascular disease and death in an international cohort of normal glycaemic and dysglycaemic men and women: the EpiDREAM cohort study
Bibliographic record
Abstract
AIMS: In an international prospective cohort study we assessed the relationship between glucose levels and incident cardiovascular events and death. METHODS AND RESULTS: 18,990 men and women were screened for entry into the DREAM clinical trial from 21 different countries. All had clinical and biochemical information collected at baseline, including an oral glucose tolerance test (OGTT), and were prospectively followed over a median (IQR) of 3.5 (3.0-4.0) years for incident cardiovascular (CV) events including coronary artery disease (CAD), stroke, congestive heart failure (CHF) requiring hospitalization, and death. After OGTT screening, 8000 subjects were classified as normoglycaemic, 8427 had impaired fasting glucose (IFG) or impaired glucose tolerance (IGT), and 2563 subjects had newly diagnosed type 2 diabetes mellitus (DM). There were incident events in 491 individuals: 282 CAD, 54 strokes, 19 CHF, and 164 died. The annualized CV or death event rate was 0.79/100 person-years in the overall cohort, 0.51/100 person-years in normoglycaemics, 0.92/100 person-years among subjects with IFG and/or IGT at baseline, and 1.27/100 person-years among those with DM (p for trend <0.0001). Among all subjects, a 1 mmol/l increase in fasting plasma glucose (FPG) or a 2.52 mmol/l increase in the 2-h post-OGTT glucose was associated with a hazard ratio increase in the risk of CV events or death of 1.17 (95% CI 1.13-1.22). CONCLUSIONS: In this large multiethnic cohort, the risk of CV events or death increased progressively among individuals who were normoglycaemic, IFG or IGT, and newly diagnosed diabetics. A 1 mmol/l increase in FPG was associated with a 17% increase in the risk of future CV events or death. Therapeutic or behavioural interventions designed to either prevent glucose levels from rising, or lower glucose among individuals with dysglycaemia should be evaluated.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".