Randomized Trials of Secondary Prevention Programs in Coronary Artery Disease: A Systematic Review
Bibliographic record
Abstract
Background While it is well established that cardiac rehabilitation programs employing supervised exercise training improve outcomes in survivors of myocardial infarction, the effects of secondary prevention programs which are not primarily exercise-based are unclear. Objectives To determine whether secondary prevention programs for patients with established coronary artery disease (CAD) improve health outcomes. To characterize secondary prevention programs which have been evaluated in the literature and to identify any program-related factors which influence effectiveness for patients with established coronary artery disease (CAD). Of note, secondary prevention programs which consisted of exercise training alone were not included in this review. Design Randomized clinical trials (RCTs) of secondary prevention programs in patients with CAD were identified by searching Medline 1966–2004; the Cochrane Central Register of Controlled Trials, Issue 4, 2004; Embase 1980–2004; CINAHL 1982–2004; SIGLE 1980–2004; the Cochrane Effective Practice and Organization of Care Study Registry; bibliographies of published studies, and via contact with experts in the field and references provided by the Centers for Medicare and Medicaid Services and authors of the primary studies. Studies were excluded if the program being evaluated consisted of supervised exercise training only; studies were selected and data extracted independently by 2 investigators, and summary risk ratios were calculated using the random effects model. Each intervention was classified a priori into one of 3 groups: (1) Comprehensive Cardiac Rehabilitation (those interventions which consist of exercise training plus group education and counseling sessions about coronary risk factor management), (2) Group Cardiac Rehabilitation without exercise component (programs which include group education and counseling sessions about coronary risk factor management, but without a structured exercise component), or (3) Individual Counseling (programs, usually delivered by specially trained nurses, which involve individual education and counseling sessions with individual follow-up, either in person or by telephone, to encourage coronary risk factor optimization). Primary study authors were contacted for additional details about their programs. The association of program characteristics with the main outcomes were examined using a forward step-wise meta-regression. Results A total of 46 RCTs (18 821 patients with CAD) were identified. The summary RR was 0.87 (95% CI 0.79–0.97) for all-cause mortality in the 29 trials (13 857 patients) reporting this outcome, but this result differed over time with a RR of 0.97 (95% CI 0.82–1.14) for 12 month all-cause mortality in the 19 trials (9393 patients, p for heterogeneity=0.95, I-squared=0%) reporting this timeframe and a RR of 0.53 (95% CI 0.31–0.92) for all-cause mortality at 24 months in the 4 trials (1367 patients, p for heterogeneity=0.44, I-squared=0%) reporting this timeframe. The summary RR was 0.83 (95% CI 0.72–0.96) for recurrent myocardial infarction and 0.84 (95% CI 0.74–0.97) for hospitalization rates over a median follow-up of 12 months. There were no appreciable differences between the 3 types of secondary prevention programs we examined in their effects on mortality, hospitalizations, or recurrent myocardial infarctions. None of the program characteristics demonstrated a significant effect on all-cause mortality or on recurrent myocardial infarctions- indeed, the mortality benefit seen with short-term interventions (less than 10 hours of patient-provider contact time) was similar to the overall pooled result: RR 0.80, 95% CI 0.68 to 0.95, in 4307 patients from 9 trials. For hospitalizations, programs with increased degrees of individualization exerted greater impacts (p Conclusions Secondary prevention programs improve processes of care, enhance quality of life/functional status, reduce hospitalizations, reduce recurrent myocardial infarctions, and reduce mortality in patients with established CAD. There is inadequate data to conclusively comment on the incremental benefits of specific components contained within these programs. Though most programs are likely to involve specialist health professionals, physicians adopt an active coordinating role in only a small minority of programs. Programs with more individualization are more effective at reducing hospitalizations and even short-term programs (less than 10 hours of provider-patient contact) demonstrate mortality benefits.
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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 | 0.023 | 0.094 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.012 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".