Economic Outcomes With Precision Diagnostic Testing Versus Usual Testing in Stable Chest Pain: Results From the PRECISE Randomized Trial
Bibliographic record
Abstract
BACKGROUND: The PRECISE (Prospective Randomized Trial of the Optimal Evaluation of Cardiac Symptoms and Revascularization) demonstrated that a precision diagnostic strategy reduced the primary composite of death, nonfatal myocardial infarction, or catheterization without obstructive coronary artery disease by 65% in patients with nonacute chest pain compared with usual testing. Medical cost was a prespecified secondary end point. METHODS: PRECISE randomized 2103 patients between December 2018 and May 2021 to usual testing or a precision strategy that used deferred testing for the lowest risk patients (20%) and coronary computed tomographic angiography with selective computed tomography–derived fractional flow reserve for the remainder. Resource use consumption data were collected from all study participants and hospital cost data from US participants (n=1125) to estimate total medical costs. The primary and secondary economic outcomes were total costs at 12 months and at 45 days, respectively, from the US health care system perspective. The mean cost differences between the 2 strategies were reported by intention-to-treat. RESULTS: At 45 days, total costs were similar between the precision strategy and usual testing (mean difference, $182 [95% CI, −$555 to $661]). By 12 months, percutaneous coronary intervention and coronary artery bypass surgery had been performed in 7.2% and 2.0% of precision strategy patients and 3.5% and 1.7% of usual testing patients, respectively. At 1 year, precision strategy costs were $5299 versus $4821 for usual testing (mean difference, $478 [95% CI, −$889 to $1437]; P =0.43). Precision care decreased mean per-patient diagnostic cost by 27% and increased mean per-patient revascularization costs by 67%. CONCLUSIONS: In the PRECISE trial, the precision strategy, a risk-based approach endorsed by current clinical practice guidelines, improved the clinical efficiency of testing and had similar costs to usual testing at 45 days and a nonsignificant $478 cost difference at 1 year. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03702244.
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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 | 0.010 | 0.128 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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".