Significance of the treadmill scores and high-risk criteria for exercise testing in non-high-risk patients with unstable angina and an intermediate Duke treadmill score
Bibliographic record
Abstract
BACKGROUND: The appropriate management of patients with an intermediate Duke treadmill score (DTS) is not well established.The aim of this study is to compare several treadmill indexes (American College of Cardiology/American Heart Association (ACC/AHA) High-Risk Criteria for exercise testing,Veterans Affairs and West Virginia Prognostic Score, ST/Heart Rate Index, Failure to attain 85% of age-predicted maximum Heart Rate) with ST-segment depression in detecting significant or severe coronary artery disease as determined by coronary angiography in patients with an intermediate DTS. METHODS: 144 consecutive patients admitted to the hospital for unstable angina were studied. RESULTS: The sensitivities of the ACC/AHA High-Risk Criteria and West Virginia Prognostic Score were greater than 95% for the detection of significant coronary artery disease and 96.67% for the detection of severe coronary artery disease. The sensitivity of I mm ST depression for the detection of significant and severe coronary disease was 74.74% and 86.67%, respectively. The combined evaluation of ST-segment depression > or =1 mm and exercise-induced angina could efficiently identify a population with a high prevalence of significant coronary artery disease (specificity of 95.92%, positive predictive value of 94.29%). CONCLUSIONS: The ACC/AHA High-Risk Criteria was West Virginia Prognostic Score provided relevant diagnostic information in patients with an intermediate DTS. A coronary angiography is to be recommended in patients with an intermediate DTS who also present ST-segment depression > or =1 mm and exercise-induced angina.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 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".