Statin Therapy Significantly Reduces Risk of Ventricular Tachyarrhythmias in Patients With an Implantable Cardioverter Defibrillator
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Bibliographic record
Abstract
A few observational studies have shown the protective effect of statins on preventing ventricular tachycardia/ventricular fibrillation (VT/VF). However, the disparate study results prompt further exploration of this concept. We performed a meta-analysis to assess whether statin therapy is associated with a decrease in the incidence or recurrence of VT/VF in patients with an implantable cardioverter-defibrillator (ICD).The MEDLINE(®) and Cochrane databases were searched from 1980 to July 2009 for studies examining the effect of statins on VT/VF in recipients of ICDs. We retrieved all prospective cohort studies that examined this association. The endpoint was defined as appropriate ICD therapy for VT/VF. The quality of individual studies was assessed using the Newcastle Ottawa Scale.Seven prospective cohort studies met our inclusion criteria with a total of 2278 patients with a mean follow-up of 19.7 months. Pooled analysis of the eligible studies revealed that statin therapy was associated with a 45% reduction in the risk of developing VT/VF in recepients of ICDs [pooled odds ratio (pOR): 0.55; 95% confidence interval: 0.34-0.90; heterogeneity I(2) = 81%, P = 0.02]. In a subgroup analysis, the magnitude of the risk reduction in patients with ischemic cardiomyopathy was 54% (pOR: 0.46, P = 0.05). Sensitivity analysis including studies with higher methodological qualities alone showed a significant protective effect (pOR: 0.48, P = 0.01). There was no evidence of publication bias in the analysis.Our meta-analysis suggests an association between the use of statin and a reduction in the VT/VF occurrence in recipients of ICDs, mainly in patients with ischemic cardiomyopathy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 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 | 0.001 |
| 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 it