Predictive value of abnormal coronary computed tomography angiography in patients with Normal single-photon emission computed tomography scan
Bibliographic record
Abstract
Background: The aim of this study was to assess the prognostic value of abnormal coronary computed tomography angiography (CCTA) in patients with normal single-photon emission computed tomography (SPECT) study. Methods: We retrospectively enrolled patients with normal SPECT scans and abnormal CCTA studies, who were categorized according to CCTA findings into obstructive with ≥50 %, and non-obstructive CAD <50 % coronary artery stenosis. Major adverse cardiac events (MACE) was defined as cardiovascular death and non-fatal myocardial infarction. Results: < 0.001) are independent predictors of mortality. Conclusion: Obstructive CAD on CCTA is associated with significantly higher long-term risk of MACE in comparison to non-obstructive CAD in patients with normal SPECT.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".