ABSTRACT
Early evaluation of the pyramidal tract using Diffusion Tensor Imaging (DTI) is a prerequisite to decide the optimal treatment or to assess appropriate rehabilitation. The early predictive value of DTI for assessing motor and functional recovery in ischemic stroke (IS) has yielded contradictory results. The purpose is to systematically review and summarize the current available literature on the value of Fractional Anisotropy (FA) parameter of the DTI in predicting upper limb motor recovery after sub-acute IS. MEDLINE, PubMed, EMBASE, Google Scholar and Cochrane CENTRAL searches were conducted from January 1, 1950, to July 31, 2015, which was supplemented with relevant articles identified in the references. Correlation between FA and upper limb motor recovery measure was done. Heterogeneity was examined using Higgins I-squared, Tau-squared. Summary of correlation coefficient was determined using Random Effects model. Out of 166 citations, only eleven studies met the criteria for inclusion in the systematic review and six studies were included in the meta-analysis. A random effects model revealed that DTI parameter FA is a significant predictor for upper limb motor recovery after sub-acute IS [Correlation Coefficient=0.82; 95% Confidence Interval-0.66 to 0.90, P value<0.001]. Moderate heterogeneity was observed (Tau-squared=0.12, I-squared=62.14). The studies reported so far on correlation between DTI and upper limb motor recovery are few with small sample sizes. This meta-analysis suggests strong correlation between DTI parameter FA and upper limb motor recovery. Well-designed prospective trials embedded with larger sample size are required to establish these findings.
Subject(s)
Anisotropy , Diffusion Tensor Imaging , Diffusion , Paresis , Population Characteristics , Prospective Studies , Pyramidal Tracts , Rehabilitation , Sample Size , Stroke , Upper ExtremityABSTRACT
Early evaluation of the pyramidal tract using Diffusion Tensor Imaging (DTI) is a prerequisite to decide the optimal treatment or to assess appropriate rehabilitation. The early predictive value of DTI for assessing motor and functional recovery in ischemic stroke (IS) has yielded contradictory results. The purpose is to systematically review and summarize the current available literature on the value of Fractional Anisotropy (FA) parameter of the DTI in predicting upper limb motor recovery after sub-acute IS. MEDLINE, PubMed, EMBASE, Google Scholar and Cochrane CENTRAL searches were conducted from January 1, 1950, to July 31, 2015, which was supplemented with relevant articles identified in the references. Correlation between FA and upper limb motor recovery measure was done. Heterogeneity was examined using Higgins I-squared, Tau-squared. Summary of correlation coefficient was determined using Random Effects model. Out of 166 citations, only eleven studies met the criteria for inclusion in the systematic review and six studies were included in the meta-analysis. A random effects model revealed that DTI parameter FA is a significant predictor for upper limb motor recovery after sub-acute IS [Correlation Coefficient=0.82; 95% Confidence Interval-0.66 to 0.90, P value<0.001]. Moderate heterogeneity was observed (Tau-squared=0.12, I-squared=62.14). The studies reported so far on correlation between DTI and upper limb motor recovery are few with small sample sizes. This meta-analysis suggests strong correlation between DTI parameter FA and upper limb motor recovery. Well-designed prospective trials embedded with larger sample size are required to establish these findings.
Subject(s)
Anisotropy , Diffusion Tensor Imaging , Diffusion , Paresis , Population Characteristics , Prospective Studies , Pyramidal Tracts , Rehabilitation , Sample Size , Stroke , Upper ExtremityABSTRACT
BACKGROUND AND PURPOSE: The purpose of this meta-analysis was to determine the precise association between beta-2 adrenergic receptor (beta2AR) polymorphism and Ischemic stroke. METHODS: Published case control studies on association between beta2AR and ischemic stroke were searched from electronic databases. Pooled Odds ratio and 95% Confidence interval were calculated by using software RevMan version 5.2. RESULTS: A total of three studies involving 1,642 cases and 1,673 controls, which were published from 2007 to 2014, were subjected to meta-analysis for allelic association and 518 cases and 510 controls for genotypic association. Pooled analysis of two studies for genotypic association suggested that subjects carrying Gln27Glu polymorphism of beta2AR had an increased risk for Ischemic stroke under recessive model (OR 2.09; 95% CI; 1.20 to 3.64) and under dominant model (OR 1.47; 95% CI 1.14 to 1.90). Pooled analysis of three studies for allelic association showed a significantly higher Glu27 allele of beta2AR in the patients with ischemic stroke (OR 1.58; 95% CI; 1.38 to 1.81). CONCLUSIONS: The present meta-analysis suggests that Gln27Glu polymorphism of beta2AR gene is associated with increased risk for ischemic stroke.