Early Diagnosis and Treatment of Coronary Heart Disease in Asymptomatic Subjects With Advanced Vascular Atherosclerosis of the Carotid Artery (Type III and IV b Findings Using Ultrasound) and Risk Factors
Bibliographic record
Abstract
BACKGROUND: A study was conducted as to whether the early diagnosis of coronary heart disease in asymptomatic subjects with advanced atherosclerosis of the carotid artery which additionally shows at least one risk factor is successful using ultrasound technology. METHODS: Within the scope of an occupational screening program using subjects from diverse employment sectors, people were given the opportunity to determine their risk of heart attack. During the study the total plaque area (TPA), the maximum plaque thickness in the carotid artery and the PROCAM-Scores of 3,748 healthy men and 2,260 healthy women between the ages of 20 and 64 years were determined. During the subsequent follow-up study 94 subjects sickened. An ultrasound examination of the carotid artery of 79 patients revealed a type III or IV b finding. In a pilot study 33 asymptomatic subjects with a type III or IV b finding in the ultrasound examination were assessed using a computed tomography (CT) coronary angiogram. Additional 10 asymptomatic subjects were examined independently to undergo further cardiac examinations. RESULTS: In the final analysis only five patients had entirely smooth coronary arteries, six had coronary sclerosis, eight had a 30% stenosis, one had a 30-50% stenosis and 23 patients had a stenosis ≥ 50%; and in extreme case, a left main coronary artery stenosis with three-vessel disease. CONCLUSIONS: Asymptomatic subjects with advanced atherosclerosis of the carotid artery (type III and type IV b findings) had a high risk for coronary heart disease (CHD). Early treatment of the disease improves the patient's prognosis. A screening consisting in the combination of TPA measurement and determining the maximum plaque thickness is recommended.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".