Analysis of the effectiveness of selection of women for coronarography in real clinical practice
Bibliographic record
Abstract
Objective: evaluation of the effectiveness of selection for coronary angiography of women who have applied to a cardiologist for thoracalgia and dorsalgia and regarded primarily as having a clinic of stable angina.Materials and methods. 108 women (median age 59.5) applying to cardiologist due to chest pain were included in a cross-sectional study and underwent coronary angiography. Subjects with identified clinically significant atherosclerotic coronary lesions were compared to persons with intact coronary arteries.Results. One-, two- and three-vessel lesions were diagnosed in accordingly 16; 21 and 26 % of patients. Intact coronary arteries were detected in 37 % subjects. In 17 of 40 persons with intact structure of the coronary arteries spasm of the coronary arteries was diagnosed. Odds ratio for atherosclerotic coronary arteries lesions in type 2 diabetic persons were 7.91 (1.74–36.00), for hypertension odds ratio 4.79 (1.52–15.01). Severe angina (3 and 4 functional class) was significantly more often diagnosed in women with identified coronary atherosclerosis. Severe coronary atherosclerosis was associated with absence of negative or doubtful results, whereas intact coronary vessels, negative and questionable results revealed more than half of the women. The obtained data reflect the relevance of the development of more effective algorithms for diagnosis of coronary artery disease in women, since the gender peculiarities of the formation of coronary atherosclerosis have been clearly confirmed in a number of large studies.Conclusion. Medical history, physical load tests results, and subject’s emotional status should be evaluated to assess the feasibility of coronary angiography.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".