382,714 papers found

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…

BACKGROUND: Sarcopenia is a clinical syndrome characterized by a significant reduction in muscle mass and strength, typically associated with the ageing process. In recent years, an increasing number of studies have shown that sarcopenia not only affects functional health in the elderly but may also be closely associat…

BACKGROUND: Early identification of patients at risk for postoperative delirium is essential because adequate well-timed interventions could reduce the occurrence of delirium and the related detrimental outcomes. METHODS: We will conduct a systematic review and individual patient data (IPD) meta-analysis of prognostic…

Workplace bullying is a significant issue impacting various professions, including the healthcare sector. This study presents a meta-analysis aimed at assessing the global prevalence of workplace bullying among medical students and identifying potential influencing factors. Previous research suggests that medical stude…

BACKGROUND: Metabolic syndrome (MS) is showing an epidemic trend worldwide, and its annual incidence is increasing. Conventional treatment options have limitations and it is necessary to develop new management strategies for MS. METHODS: Eligible randomized controlled clinical trials (RCTs) were screened by searching…

Synthesis of medical literature to determine the best treatment for a given problem is challenging, particularly when multiple options exist. Network meta-analysis (NMA) allows the comparison of different treatment approaches in a single, systematic review including treatments that have never been compared head-to-head…

BACKGROUND: This meta-analysis was to systematically investigate the effect of breastfeeding on metabolic-related outcomes in women with previous gestational diabetes mellitus (GDM). METHODS: We will search the online databases of Relevant studies were searched in Pubmed, Embase, Cochrane Library, Web of Science. Rela…

BACKGROUND: Shexiang Baoxin Pills (SBP) is widely used for the treatment of unstable angina pectoris (UAP) in China. However, the clinical evidence on the efficacy of SBP for the treatment of UAP is not well concluded. METHODS: Seven electronic databases will be searched for eligible studies: MEDLINE, EMBASE, The Coch…

Meta-analysis of microarray studies to produce an overall gene list is relatively straightforward when complete data are available. When some studies lack information-providing only a ranked list of genes, for example-it is common to reduce all studies to ranked lists prior to combining them. Since this entails a loss…

Multivariate meta-analysis is becoming more commonly used. Methods for fitting the multivariate random effects model include maximum likelihood, restricted maximum likelihood, Bayesian estimation and multivariate generalisations of the standard univariate method of moments. Here, we provide a new multivariate method of…

BACKGROUND: Meta-analysis is a statistical method for combining the results of primary studies. It is often used in systematic reviews and is increasingly a method and topic that appears in student dissertations. MetaLight is a freely available software application that runs simple meta-analyses and contains specific f…

Meta-analysis summarizes the results of a series of trials. When more than two treatments are included in the trials and when the set of treatments tested differs between trials, the combination of results across trials requires some care. Several methods have been proposed for this purpose, which feature under differe…

The Copas parametric model is aimed at exploring the potential impact of publication bias via sensitivity analysis, by making assumptions regarding the probability of publication of individual studies related to the standard error of their effect sizes. Reviewers often have prior assumptions about the extent of selecti…

SUMMARY: phyloMeta is an easy to use console program for integrating phylogenetic information into meta-analysis. It is designed to help ecologists, evolutionary biologists and conservation biologists analyze effect size data extracted from published studies in a comparative phylogenetic context. This software estimate…

Meta-analysis is becoming a principal tool for research synthesis and for the identification and justification of evidence based practices. A fundamental assumption in meta-analysis is that effect sizes based upon different measures are comparable. Recent work has challenged this assumption in the case of the standardi…

This article discusses statistical approaches to the validation of surrogate biomarkers and endpoints. One approach that has been successfully used in oncology consists of estimating associations at two levels: the association between the surrogate and the clinical endpoint, called the individual-level association, and…

BACKGROUND: Publicly available datasets of microarray gene expression signals represent an unprecedented opportunity for extracting genomic relevant information and validating biological hypotheses. However, the exploitation of this exceptionally rich mine of information is still hampered by the lack of appropriate com…

The authors describe the relative benefits of conducting meta-analyses with (a) individual participant data (IPD) gathered from the constituent studies and (b) aggregated data (AD), or the group-level statistics (in particular, effect sizes) that appear in reports of a study's results. Given that both IPD and AD are eq…