Randomized Trials of Secondary Prevention Programs in Coronary Artery Disease: A Systematic Review
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,023 | 0,094 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,022 | 0,012 |
| Bibliométrie | 0,007 | 0,007 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,004 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».