Meta-Analysis: Secondary Prevention Programs for Patients with Coronary Artery Disease
Bibliographic record
Abstract
BACKGROUND: Although supervised exercise programs reduce mortality in survivors of myocardial infarction, the effects of other types of cardiac secondary prevention programs are unknown. PURPOSE: To determine the effectiveness of secondary cardiac prevention programs with and without exercise components. DATA SOURCES: The authors searched MEDLINE (1966-2004), the Cochrane Central Register of Controlled Trials, EMBASE, CINAHL, SIGLE, and the Cochrane Effective Practice and Organization of Care Study Registry. They also contacted primary study authors and hand-searched bibliographies provided by the Centers for Medicare & Medicaid Services. STUDY SELECTION: Randomized clinical trials. DATA EXTRACTION: Two reviewers chose studies and extracted data independently; random-effects summary risk ratios were calculated. DATA SYNTHESIS: The authors identified 63 randomized trials (21 295 patients with coronary disease). The summary risk ratio was 0.85 (95% CI, 0.77 to 0.94) for all-cause mortality, but this result differed over time with a risk ratio of 0.97 (CI, 0.82 to 1.14) at 12 months and 0.53 (CI, 0.35 to 0.81) at 24 months. The summary risk ratio was 0.83 (CI, 0.74 to 0.94) for recurrent myocardial infarction over a median follow-up of 12 months. Effects were similar for programs that included risk factor education or counseling with a structured exercise component (risk ratio, 0.88 [CI, 0.74 to 1.04] for mortality and 0.62 [CI, 0.44 to 0.87] for myocardial infarction), for programs that included risk factor education or counseling without an exercise component (risk ratio, 0.87 [CI, 0.76 to 0.99] for mortality and 0.86 [CI, 0.72 to 1.03] for myocardial infarction), and for programs that were solely exercise-based (risk ratio, 0.72 [CI, 0.54 to 0.95] for mortality and 0.76 [CI, 0.57 to 1.01] for myocardial infarction). Most of these programs improved quality of life or functional status, but effect sizes were small. LIMITATIONS: Although these programs may reduce total health care costs, published data on the costs of the programs are inadequate to conclusively comment on their cost-effectiveness. CONCLUSIONS: A wide variety of secondary prevention programs improve health outcomes in patients with coronary disease.
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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 | 0.025 | 0.056 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.026 | 0.061 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".