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The objective of this paper is to construct a Bayesian model for re-analyzing the results of several published metaanalyses concerning the impact of Bone Marrow Cell Therapy (BMC) on Left Ventricular Ejection Fraction (LVEF) in adult patients with heart diseases. Method: The pooled mean difference in LVEF between BMC and the control group is the outcome of interest. With the help of the Gibbs sampler, the proposed Bayesian model combined the data from 6 cohort studies (prior) with the results collated from 54 well-cited randomized controlled trials published from 2004 to 2013 (likelihood) for generating the posterior distribution for meta-analysis. Results: The conventional model showed that BMC could bring modest but statistically significant effect to patients with heart diseases. The pooled effect of mean difference in LVEF was +3.12% (95% C.I.: 2.20-4.03) in favour of BMC, according to the objective Bayesian model. Sensitivity analyses showed that the priors had little influence on the posterior results. Discussion/Conclusion: More RCTs are needed before further conclusion can be made about the impact of BMC on LVEF. The Bayesian model has provided more insights to the problem and the nature of data selected for meta-analysis.

cardiology research and cardiovascular medicine

Impact of Bone Marrow Cell Therapy on Left Ventricular Ejection Fraction in Adult Patients with Heart Disease: An Application of Objective Bayesian Random-Effect Meta-Analysis