What is the role of invasive versus non‐invasive coronary angiography in the investigation of patients suspected to have coronary heart disease?
Bibliographic record
Abstract
The improved technology of multi-slice cardiac CT angiography (CTA) has enabled production of high quality images of the coronary arteries. The sensitivity and specificity of the test in identifying patients with obstructive coronary lesions in 64-slice and later generations of scanners is high. To enable effective use of CTA in the clinical setting, a better understanding of this technology, particularly in comparison to invasive coronary angiography, is needed. In this article we discuss the characteristics of CTA in comparison to invasive coronary angiography and discuss the role of CTA in the diagnosis of coronary artery disease (CAD). Newer CTA scanners and individualized scanning protocols can minimize radiation exposure from CTA. CTA can provide more information than invasive coronary angiography on the type and burden of atherosclerotic plaque in the coronary tree. CTA is most useful in those at intermediate risk of CAD.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".