Routine functional testing after percutaneous coronary intervention
Bibliographic record
Abstract
BACKGROUND: It is unclear whether routine or selective functional testing is optimal following percutaneous coronary intervention (PCI) in high-risk patients. OBJECTIVES: The aim of this trial was to compare exercise endurance, functional status, and quality of life (QOL) among high-risk patients randomized to either routine or selective functional testing following PCI. METHODS: We randomized 84 patients to either routine or selective functional testing. Patients had one or more of the following: multivessel PCI, diabetes mellitus, left ventricular ejection fraction < 35%, and/or PCI of the proximal left anterior descending artery. Patients in the routine arm (n = 41) underwent maximum endurance exercise treadmill testing (ETT) with nuclear perfusion imaging at 1.5 and 6 months. Patients in the selective arm (n = 43) only underwent functional testing for a clinical indication. All patients underwent a maximum endurance ETT at 9 months. Exercise endurance, functional status, and QOL were assessed at 9 months. RESULTS: Most patients were middle-aged men (58 +/- 10 years old; 87% male) who underwent PCI with stenting (94%). Among routine functional testing patients, 27.0% and 41.9% had a positive functional test at 1.5 and 6 months, respectively. Exercise endurance was improved in the routine vs. selective arm at 9 months (metabolic equivalents: 10.3 +/- 2.6 vs. 8.6 +/- 3.0, P = 0.013). There was no difference in improvement from baseline for the Duke Activity Status Index, the Seattle Angina Questionnaire, or the SF-36. Nine-month cumulative incidences of cardiac procedures and clinical events were not significantly different. CONCLUSIONS: Routine functional testing following PCI in high-risk patients may lead to improved exercise endurance but not improved QOL.
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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 | 0.001 |
| 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".