Quality of Life Outcomes With a Risk-Based Precision Testing Strategy Versus Usual Testing in Stable Patients With Suspected Coronary Disease: Results From the PRECISE Randomized Trial
Bibliographic record
Abstract
BACKGROUND: The PRECISE (Prospective Randomized Trial of the Optimal Evaluation of Cardiac Symptoms and Revascularization) trial compared an investigational precision diagnostic testing strategy (n=1057) with usual testing (n=1046) in patients with stable chest pain and suspected coronary artery disease. Quality of life (QOL) outcomes were a prespecified secondary end point. METHODS: We assessed QOL by structured interviews in all trial participants at baseline and 45 days, 6 months, and 12 months postrandomization. QOL assessments included angina-related QOL (19-item Seattle Angina Questionnaire [SAQ-19]), generic health status (EQ-5D), and a 4-item care satisfaction survey (at 45 days only). The prespecified primary comparison was the 6-month SAQ Summary score outcomes (scale, 0 to 100; higher scores indicate greater health status). QOL data collection rates were high, with 99% complete baseline SAQ scores and 86.5% complete at the 6-month primary comparison follow-up. All comparisons were made as randomized. RESULTS: At baseline, mean SAQ Summary scores were 70.9 in the Precision Strategy group (n=1050) and 70.4 in the Usual Testing group (n=1042). By 6 months, mean SAQ Summary scores had improved to 89.9 in the Precision Strategy group and 89.2 in the Usual Testing group, with a mean adjusted difference of 0.8 (95% CI, -0.3 to 2.0). The SAQ component scores showed similar improvement from baseline in both groups and no statistically significant or clinically meaningful differences between the 2 groups at any follow-up time point. By 6 months, 66% of patients in both groups were chest pain-free. EQ-5D visual analog scores also improved from baseline and showed no difference between groups during follow-up. Care satisfaction scores were high and similar at 45 days. CONCLUSIONS: In stable patients with symptoms suggesting coronary artery disease, angina-related and overall QOL improved substantially over the initial 6 months independent of the testing strategy assigned. 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 | 0.005 | 0.077 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".