The Study
Statins and risk of incident diabetes: a collaborative meta-analysis of randomised statin trials.
This study is like a computer game that simulates how people might get sick over time based on health numbers like blood pressure and cholesterol. It doesn’t watch real people getting sick, so it can’t prove what causes disease. It only shows what might happen according to the rules the scientists programmed in.
Analysis score
Maximum 0 for a computational/algorithm study.
Where the score came from
Scientists built a computer model to guess how likely people are to die from heart disease or any cause over 10 years using known risk factors.
Where does this study sit?
Systematic Reviews & Meta-analyses
Max 100Randomized Trials
Max 90Cohort Studies
Max 72Case-Control
Max 58Cross-Sectional
Max 44Case Reports & Series
Max 30Expert Opinion
Max 50 / 100
Quality score
Based on clinical experience or non-systematic literature reviews. The lowest level of evidence as they are most susceptible to bias and personal perspective.
Key takeaways
Summary
Based on the study abstract and findings.
- 1Yes, the model works well for predicting who might die from heart disease or other causes, which helps plan better health policies.
- 2The model guessed right for about 11 out of 100 people dying from any cause and 2–3 from heart disease, matching real data.
- 3It could also tell who was at higher risk with 83–84% accuracy.
Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data
Publication
Journal
Lancet
Year
2010
Authors
N. Sattar, D. Preiss, Heather Murray, P. Welsh, B. Buckley, A. de Craen, S. Seshasai, John J McMurray, Dilys J. Freeman, J. Jukema, Peter W Macfarlane, C. J. Packard, D. Stott, R. Westendorp, James Shepherd, Barry R Davis, S. Pressel, R. Marchioli, R. Marfisi, Aldo P Maggioni, L. Tavazzi, G. Tognoni, J. Kjekshus, T. Pedersen, T. Cook, Antonio M. Gotto, Michael Clearfield, J. R. Downs, Haruo Nakamura, Yasuo Ohashi, Kyoichi Mizuno, Kausik K. Ray, Ian Ford
Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.