Acknowledging some risk of selection bias, KP displayed a significantly better performance compared with VP only in one of the two primary endpoints, that is, for ODI but not for short-term VAS. Further randomized studies are required to confirm these results.
ObjectivePrevious studies regarding the association between parental smoking and the risk of childhood brain tumors (CBT) have reported inconsistent results. We performed a meta-analysis to summarize evidence on this association and to quantify the potential dose-response relationship.MethodsA systematic literature search was conducted in the Medline and Embase databases. The summary relative risks (RRs) with 95% confidence intervals (CIs) were calculated. Dose–response meta-analysis was also performed for studies that reported categorical risk estimates for a series of smoking exposure levels.ResultsA total of 17 studies fulfilled the inclusion criteria. In the meta-analyses, the summary RRs (95% CIs) of CBT for maternal smoking during pregnancy, paternal smoking during pregnancy, maternal smoking before pregnancy, and paternal smoking before pregnancy were 0.96 (0.86–1.07), 1.09 (0.97–1.22), 0.93 (0.85–1.00), and 1.09 (1.00–1.20), respectively. Dose-response meta-analysis also showed no significant association between parental smoking and the risk of CBT.ConclusionsFindings from our meta-analysis indicate that parental smoking may not be associated with a risk of CBT.
Studies investigating the association between the intron 16 insertion/deletion (I/D) polymorphism (rs4646994) in the angiotensin-converting enzyme (ACE) gene and risk of intracerebral hemorrhage (ICH) have reported conflicting results. We here performed a meta-analysis based on the evidence currently available from the literature to make a more precise estimation of this relationship. Published literature from the National Library of Medline and Embase databases were retrieved. Odds ratios (OR) and 95% confidence limits (CLs) were calculated in fixed-or random-effects models when appropriate. Subgroup analyses were performed by race. This meta-analysis included six case-control studies, which included 744 ICH cases and 1411 controls. The combined results based on all studies showed that ICH cases had a significantly lower frequency of ID genotype (OR (codominant model) = 0.43, 95% CL = 0.22, 0.84, p = 0.01). In the subgroup analysis by race, we found that ICH cases had a significantly lower frequency of II genotype in Asians (OR (recessive model) = 0.50, 95% CL = 0.38, 0.66, p < 0.001; OR (codominant model) = 0.25, 95% CL = 0.09, 0.71, p = 0.009). In conclusion, our meta-analysis suggests that ACE I/D polymorphisms are associated with ICH, especially in Asians.
Aim. To explore whether the liquid-liquid phase separation- (LLPS-) related genes were potential prognostic markers that could contribute to the further classification of low-grade gliomas (LGGs). Methods. The LLPS-related genes were subjected to functional enrichment analysis. The univariable, least absolute shrinkage and selection operator, and multivariable stepwise Cox regression analyses were performed to develop an LLPS-related gene signature (GS) in the discovery data set. The biological characteristics of the high-risk LGG were explored using gene set enrichment analysis. Two independent external data sets were used to validate the LLPS-related GS. Results. LLPS-related genes are involved in multiple important cancer-related biological processes and pathways in LGG. Nine LLPS-related genes were identified to construct the LLPS-related GS, which was significantly associated with the prognosis of LGG patients. The LLPS-related GS could successfully divide patients with LGG into high- and low-risk groups, and the high-risk group showed a poorer prognosis than the low-risk group. Furthermore, the LLPS-related GS was independent of IDH and 1p19q status. Several cancer-related pathways may be more active in high-risk LGGs, such as IL6 JAK STAT3 signaling pathway. The LLPS-related GS was successfully validated with two independent external data sets. Conclusion. We developed and validated a novel LLPS-related GS for risk stratification of LGG. Our findings may provide more precise management for LGGs and a useful reference for LLPS mechanism to link LGG studies.
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