The clinical characteristics and investigations planned in patients with stable angina presenting to cardiologists in Europe: From the Euro Heart Survey of Stable Angina
Bibliographic record
Abstract
The Euro Heart Survey of Stable Angina set out to prospectively study the presentation and management of patients with stable angina as first seen by a cardiologist in Europe, with particular reference to adherence to existing guidelines and regional variability in patient presentation and initial assessment. Methods and results: Consecutive outpatients with a clinical diagnosis by a cardiologist of stable angina were enrolled in the study and 3779 patients were included in the analysis. The average age was 61 years and 58% were male. The majority of patients(88% ) had mild to moderate angina, CCS class I or II. Despite a high prevalence of recognized risk factors, 27% did not have cholesterol and 33% did not have glucose measured within 4 weeks of assessment. The resting ECG was abnormal in 41% of patients. An exercise ECG was performed or planned as part of initial investigation in 76% of patients and 18% had a stress imaging test such as perfusion scanning or stress echo. A coronary angiogram was performed or planned in 41% , and 64% had an echo. The time from assessment to investigation varied widely, particularly for angiography. One in 10 patients had neither any form of stress test nor angiography, with marked regional variation. Availability of invasive facilities increased the likelihood of both non-invasive and invasive investigations. Those with more severe symptoms or longer duration of symptoms or a positive non-invasive test were more likely to have angiography. In multivariable analysis, a positive stress test was the strongest predictor of the use of angiography, associated with a six-fold increase in the likelihood of invasive investigation. However, gender and availability of facilities were also predictive. Conclusion: Considerable variation in features at presentation and use of investigations has been identified in the stable angina population in Europe. The evaluation of biochemical cardiovascular risk factors was suboptimal. Overall rates of non-invasive investigation for angina and the clinical appropriateness of factors predictive of the use of invasive investigation were broadly in line with guidelines. However, the influence of access to facilities, and marked international variation in rates and timing of investigation suggest that factors unrelated to clinical need are also influential in the management of patients with stable angina.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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".