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Measuring inconsistency in meta-analyses
A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis. Expand
Quantifying heterogeneity in a meta-analysis.
It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity. Expand
A re-evaluation of random-effects meta-analysis
- J. Higgins, S. Thompson, D. Spiegelhalter
- Mathematics, Medicine
- Journal of the Royal Statistical Society. Series…
- 1 January 2009
It is suggested that random-effects meta-analyses as currently conducted often fail to provide the key results, and the extent to which distribution-free, classical and Bayesian approaches can provide satisfactory methods is investigated. Expand
Association of dietary, circulating, and supplement fatty acids with coronary risk: a systematic review and meta-analysis.
- R. Chowdhury, S. Warnakula, +11 authors E. Di Angelantonio
- Annals of internal medicine
- 18 March 2014
Current evidence does not clearly support cardiovascular guidelines that encourage high consumption of polyunsaturated fatty acids and low consumption of total saturated fats. Expand
Randomized trial to determine the effect of nebivolol on mortality and cardiovascular hospital admission in elderly patients with heart failure (SENIORS).
Nebivolol, a beta-blocker with vasodilating properties, is an effective and well-tolerated treatment for heart failure in the elderly. Expand
Lipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality.
Under a wide range of circumstances, there are continuous, independent, and modest associations of Lp(a) concentration with risk of CHD and stroke that appear exclusive to vascular outcomes. Expand
How should meta-regression analyses be undertaken and interpreted?
The examples considered in this paper show the tension between the scientific rationale for using meta-regression and the difficult interpretative problems to which such analyses are prone. Expand
Incidence and aetiology of heart failure; a population-based study.
Within the general population, new cases of heart failure largely occur in the elderly, and the incidence is higher in men than women, and to be relevant to clinical practice, future clinical trials in heart failure should not exclude the elderly. Expand
Explaining heterogeneity in meta-analysis: a comparison of methods.
This paper compares a number of methods which can be used to investigate whether a particular covariate, with a value defined for each study in the meta-analysis, explains any heterogeneity, and concludes that methods which allow for an additive component of residual heterogeneity should be used. Expand
Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews
- R. Turner, J. Davey, M. Clarke, S. Thompson, J. Higgins
- International journal of epidemiology
- 29 March 2012
Meta-analysis characteristics were strongly associated with the degree of between-study heterogeneity, and predictive distributions for heterogeneity differed substantially across settings, which will be very beneficial in future meta-analyses including few studies. Expand