Abstract 19384: Favorable Association Between a Mediterranean Dietary Pattern and Cardiovascular Risk Factors in Patients with Stable Coronary Heart Disease in the STABILITY Study
Bibliographic record
Abstract
Introduction: A ‘Mediterranean’ dietary (MD) pattern has been associated with lower cardiovascular mortality, but the reasons for benefit are uncertain. Hypothesis: Greater adherence to a MD pattern is associated with more favorable cardiovascular risk factors. Methods: Associations between a MD pattern and cardiovascular risk factors were evaluated at the baseline assessment in 15,482 (97.8%) patients with chronic coronary heart disease from 39 countries who participated in the STabilisation of Atherosclerotic plaque By Initiation of darapLadIb TherapY (STABILITY) trial. From a food frequency questionnaire a Mediterranean Diet Score (MDS) was calculated by assigning points for more consumption of whole grains, fruits and vegetables, legumes, fish and alcohol, and for less consumption of meat (0 to 4 points in each food category). Cardiovascular risk factors at baseline are reported by approximate quartiles of MDS. Results: See table. For all risk factors p was <0.0001 for differences by MDS group. Conclusions: In a global population of patients with stable CHD greater adherence to a MD pattern was associated with less obesity, less hypertension, improved glucose tolerance and less inflammation.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".