Increased carotid plaque burden in patients with family medical history of premature cardiovascular events in the absence of classical risk factors
Bibliographic record
Abstract
The hypothesis that relates atherosclerosis to traditional risk factors (TRF) seems to be not as adequate as previously thought; other risk factors (RF) need to be considered to prevent atherosclerosis progression. Although a family medical history of premature cardiovascular events (FHx) has been considered the putative RF for decades, it has not been incorporated routinely into cardiovascular risk evaluation along with another RF. The objective of this study was to investigate whether FHx is associated with a higher atherosclerotic burden, measured as carotid total plaque area (TPA) in a population having no traditional RF. Material and methods: The study included 4,351 primary care patients in Argentina. After excluding a personal history of cardiovascular disease (CVD) and TRF: hypertension, diabetes mellitus, hypercholesterolemia, smoking history, and body mass index (BMI) > 25 kg/cm 2 , 34 patients with FHx were identified. Compared to 56 matched controls TPA was 86% higher in FHx patients (p < 0.05). A second analysis performed in hypertensive patients but no other TRF; 32 patients with FHx were identified. Results: Compared with 44 matched controls, TPA was 77% higher in FHx patients (p < 0.05). A final analysis using a generalized linear model with TPA progression as the response variable suggests that TPA progresses more rapidly in FHx patients compared to controls. Conclusions: The FHx was associated with increased TPA burden and progression in the absence of other TRF. This supports ultrasound screening in FHx patients in order to detect high-risk patients who may benefit from early intervention.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".