382,714 papers found

How can policy makers decide which of five treatments is the best? Standard meta-analysis provides little help but evidence based decisions are possible

A meta-analysis of results from the oxford vascular study indicates that rates of mortality associated with subarachnoid hemorrhage have decreased over the past 30 years. The study does not, however, address whether day-to-day functioning and quality of life in subarachnoid hemorrhage survivors have improved over the s…

The proliferation of omics datasets in public repositories has created unprecedented opportunities for biomedical research but has also posed significant challenges for their integration, particularly due to missing genes and platform-specific discrepancies. Traditional gene expression meta-analysis often focuses on in…

BACKGROUND: Polycystic ovary syndrome is an endocrine disorder that occurs mostly in women of reproductive age and has lifelong effects on their health. METHODS: Randomized controlled clinical trials that met the inclusion criteria were screened by searching multiple databases. Relevant data were extracted, and meta-a…

Both designing a clinical study and drawing conclusions from studies about the effect of treatments require justification of the sample size via judicious choice of the endpoint and power. Such an a priori power calculation limits the chances of mistakenly claiming a lack of clinical significance if no statistically si…

Meta-analysis of longitudinal studies combines effect sizes measured at pre-determined time points. The most common approach involves performing separate univariate meta-analyses at individual time points. This simplistic approach ignores dependence between longitudinal effect sizes, which might result in less precise…

BACKGROUND: Systematic reviews and meta-analyses are important research tools in modern medicine. They serve to condense and clarify large amounts of data into resources that can educate clinicians, enhance patient care, help formulate clinical guidelines, and guide future research endeavors. METHODS: The existing lit…

Whilst recent neuroimaging studies have identified a series of different brain regions as being involved in empathy, it remains unclear concerning the activation consistence of these brain regions and their specific functional roles. Using MKDA, a whole-brain based quantitative meta-analysis of recent fMRI studies of e…

We propose a new exploratory method for the discovery of partially directed functional networks from fMRI meta-analysis data. The method performs structure learning of Bayesian networks in search of directed probabilistic dependencies between brain regions. Learning is based on the co-activation of brain regions observ…

In meta-analysis, the assessment of graphs is widely used in an attempt to identify or rule out heterogeneity and publication bias. A variety of graphs are available for this purpose. To date, however, there has been no comparative evaluation of the performance of these graphs. With the objective of assessing the repro…

To explore the role and application of Meta-regression and subgroup analyses to recognize and control the heterogeneity in Meta-analysis, Meta-regression models were established by secondary data to screen the factors resulting heterogeneity, and subgroup analyses were used to compare the change of heterogeneity before…

Consider a meta-analysis of studies with varying proportions of patient-level missing data, and assume that each primary study has made certain missing data adjustments so that the reported estimates of treatment effect size and variance are valid. These estimates of treatment effects can be combined across studies by…

The number of published genetic association studies (GASs) is increasing tremendously due to the availability of mapped single-nucleotide polymorphisms (SNPs) and advances in genotyping technologies. A search in HuGENet illustrates the rapid accumulation of evidence for major diseases. Recently, there has been a lot of…