The review anchors its central claim in GBD 2013 data: 90.5% of global stroke-related DALYs (95% UI 88.5β92.2) trace to modifiable factors, led by high systolic BP (72.3M DALYs, 64.1%), diet low in fruits (40.2M, 35.6%), high BMI (26.5M, 23.5%), high sodium (25.5M, 22.6%), and smoking (23.3M, 20.7%). Behavioral, metabolic, and environmental clusters account for 74.2%, 72.4%, and 33.4% respectively, with overlapping attribution . Its most honest finding: despite 90% attributable risk, meta-analyses of complex secondary-prevention RCTs (26 trials, n=8,021) showed no consistent improvement in cholesterol, mortality, or vascular eventsβonly isolated gains in BP control (OR 2.19) and medication adherence .
Alcohol shows a J-shape: ischemic stroke RRs 0.90 (<1 drink/d), 0.92 (1β2), 1.08 (>2β4), 1.14 (>4); heavy drinking sharply raises hemorrhagic risk (ICH RR 1.67; SAH RR 1.82) . Air-pollution effect sizes are small but precisely estimated (PM2.5 RR 1.011 per 10 ΞΌg/mΒ³) .
Strengths: comprehensive Table 1 of ~30 behavioral RCTs, explicit acknowledgment of null results, theory-grounded behavioral framework (HBM, transtheoretical, SCT), and candid discussion of high-risk-strategy limitations (Framingham-derived tools generalize poorly beyond White, older cohorts). Blind spots: clustering overlaps (74.2% + 72.4% + 33.4% > 100%) risk double-counting; much environmental evidence is observational with residual confounding; the Stroke Riskometer/RIBURST proposal embeds a potential financial conflict (app sale revenue) and lacks outcome-effectiveness data . Knowledge half-life: pre-2017 data predate GLP-1 agonist and updated diet evidence. What would change the verdict: robust RCTs showing non-modifiable factors dominate, or consistently positive complex-intervention outcomes.
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