Cost-effectiveness of rapid assessment of potential ischaemic heart disease with CT coronary angiography
Bibliographic record
Abstract
OBJECTIVES: To estimate the cost-effectiveness of early CT coronary angiography (CTCA) for intermediate risk patients with suspected acute coronary syndrome (ACS), compared with standard care METHODS: We performed within-trial economic analysis using data from the RAPID-CTCA randomised trial, and long-term modelling of cost-effectiveness using secondary data sources to estimate the cost-effectiveness of early CTCA compared with standard care for patients with suspected ACS attending acute hospitals in the UK. Cost-effectiveness was estimated as the incremental cost per quality-adjusted life year (QALY) gained, and the probability of each strategy being cost-effective at varying willingness-to-pay per QALY gained. RESULTS: The within-trial analysis showed that there were no demonstrable differences in costs or QALYs between early CTCA and standard care, with point estimates suggesting higher costs (£7414 vs £6845: mean difference £569, 95% CI -£208 to £1335; p=0.1521) and lower QALYs (0.749 vs 0.758, mean difference -0.009, 95% CI -0.026 to 0.010; p=0.377) in the CTCA arm. The long-term economic analysis suggested that, on average, CTCA was slightly less effective than standard care alone with 0.025 quality-adjusted life years lost per patient treated and was more expensive with additional costs of £481 per patient treated. At a threshold of £20 000 per QALY, CTCA has 24% probability of being cost-effective. CONCLUSIONS: There are no demonstrable differences in within-trial costs and QALYs, and long-term cost-effectiveness modelling suggested higher long-term costs with CTCA and uncertain effect on long-term QALYs, making routine use of CTCA for suspected ACS unlikely to be a cost-effective use of NHS resources.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".