Value of Duke treadmill score in prediction of degree of coronary artery disease
Bibliographic record
Abstract
AIM: To assess the value of Duke treadmill score(DTS) in prediction of the degree of coronary artery diseases.METHODS: Enrolled in the study were 169 patients who had positive or doubtful positive treadmill exercise test(TET) and who underwent coronary angiography(CAG) in Tai'an Central Hospital.According to the DTS value,patients were divided into three groups: low-risk DTS group(DTS ≥+5,n=35),moderate-risk DTS group(DTS:-10 to +4,n=77) and high-risk DTS group(DTS ≤-11,n=57).Correlation between DTS and coronary angiography Gensini score was evaluated.Duke formula was as follows: Treadmill score=(exercise duration in minutes)-(5×ST-segment deviation in millimeters)-(4×treadmill angina index) where the treadmill angina index=0 for no-exercise angina,1 for exercise angina and 2 for exercise-limiting angina.RESULTS: In the high-risk group and moderate-risk DTS group there were more exercise-limiting angina cases and more ST depression ≥1 mm cases,more ST-segment deviation,emergence time and persistence time,and more maximal ST depression and ECG with leads number,but less nonangina,less exercise time,and lower peak heart rate compared with those in low-risk DTS group(P0.05,P0.01).In TET,the DTS was found to be related to the degree of coronary artery stenosis.In low-risk DTS group,69% had no coronary stenosis and 26% had single-vessel stenosis.By comparison,63% in the high-risk DTS group had 3-vessel or left main coronary disease.Patients with high-risk DTS all had severe coronary artery disease.DTS correlated negatively with Gensini score of CAG(r=-0.74,P0.05).Gensini score in low-risk DTS group was much lower than that in moderate-risk DTS group and high-risk DTS group.CONCLUSION: DTS is correlated with the severity of coronary artery lesions and is useful for clinical diagnostic and prognostic evaluation for patients suspected of ischemic heart diseases.
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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 | 0.001 | 0.000 |
| 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".