Agreement between physician- and patient-reported Canadian cardiovascular society scores among patients undergoing elective coronary angiography–The CATS study
Bibliographic record
Abstract
The primary aim of revascularization in stable coronary artery disease (CAD) is symptom relief. The severity of symptoms is usually evaluated by the physician, not by the patient. We examined the agreement between physician- and patient-reported Canadian Cardiovascular Society (CCS) scores among patients scheduled for elective coronary angiography in a cross-sectional study. Patients (n = 650) and cardiologists evaluated the severity of angina symptoms by filling the CCS questionnaire before coronary angiography. Patients were divided into those without CAD (stenosis diameter <50%, n = 445) and those with CAD (stenosis diameter >50%, n = 205). CAD patients were further divided into three groups according to disease severity (single-, double- or triple-vessel disease). The mean age of the patients was 67.6 (9.9) years and 50.6% were women. In 51.8% (95% CI 44.5%-59.0%) of patients with CAD and 51.9% (95% CI 47.0%-56.8%) of those without, physician- and patient reported CCS scores agreed. The physician reported better CCS scores in 33.9% (95% CI 27.6%-40.7%) of patients with CAD and 36.2% (95% CI 31.8%-41.0%) of patients without CAD. The proportions of full or partial agreement between physician- and patient reported CCS scores were similar across the CAD severity groups. To summarize, we observed a significant discrepancy between the physician- and patient-reported symptom severity in patients with or without CAD scheduled for angiography. The physician underestimated the symptoms in third of the cases. Thus, patient-reported symptom severity, rather than physician's evaluation, should be the cornerstone of treatment decisions.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".