382,819 papers found

The effect models are defined as the simple or complex relation that the risk in the treatment group follows when the risk in the control group varies. The standard statistical methods of meta-analysis are based on simple effect models. The use of these methods could induce inaccurate or erroneous results in more compl…

Meta-analysis is an epidemiological and statistical tool used to combine the results of independent studies and synthesize their conclusions for the purpose of evaluating therapeutic effectiveness, determining procedural efficacy, or providing a basis for development of treatment protocols. Meta-analysis also may be de…

In this paper we shall present the general principles of meta-analysis and will then discuss the various factors needed to evaluate a meta-analysis: description of the problem; definition of the outcome(s) (primary and secondary); methods for identifying and selecting trials for inclusion; statistical methods used; and…

Consumer satisfaction with medical care was examined in a meta-analysis of 221 studies. For each study, (1) a coding form was filled out that described sample characteristics, design, and instrument methodology, and (2) the study sample's overall satisfaction level was transformed to a 0.00-1.00 scale. This article sum…

This article describes the Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) guidelines that are intended to help authors improve the reporting of systematic reviews and meta-analyses, illustrating with examples from the Oncology Nursing Society journals and Putting Evidence Into Practice resou…

Perlstein, Fair, Hong, and Waller (Journal of Child Psychology and Psychiatry, 2023) meta-analysis provides a critically important summary of the research on the treatment of children and adolescents with elevated callous-unemotional (CU) traits, 10 years after they were added to diagnostic criteria in the "with…

As a complex disease, multiple sclerosis (MS) susceptibility implicates many genetic and environmental factors. Usually, individual genetic association studies have several limitations, and results are specific to the population of study. The Meta-analysis approach has been proposed to resolve these limitations and to…

OBJECTIVES: To perform a worked example of an approach that can be used to identify and remove potentially biased trials from meta-analyses via the analysis of baseline variables. STUDY DESIGN: True randomisation produces treatment groups that differ only by chance; therefore, a meta-analysis of a baseline measurement…

A recent meta-analysis by Au et al. Psychonomic Bulletin & Review, 22, 366-377, (2015) reviewed the n-back training paradigm for working memory (WM) and evaluated whether (when aggregating across existing studies) there was evidence that gains obtained for training tasks transferred to gains in fluid intelligence (Gf).…

Meta-analyses today continue to be run using conventional random-effects models that ignore tangible information from studies such as the quality of the studies involved, despite the expectation that results of better quality studies reflect more valid results. Previous research has suggested that quality scores derive…

Meta-analyses of diagnostic test accuracy (DTA) studies have been gaining prominence in research in clinical epidemiology and health technology development. In these DTA meta-analyses, some studies may have markedly different characteristics from the others and potentially be inappropriate to include. The inclusion of…

In a network meta-analysis, between-study heterogeneity variances are often very imprecisely estimated because data are sparse, so standard errors of treatment differences can be highly unstable. External evidence can provide informative prior distributions for heterogeneity and, hence, improve inferences. We explore a…

OBJECTIVES: To investigate the association between cognitive behavior therapy (CBT) and dizziness. METHODS: The databases including PubMed, Embase, Cochrane Library and Web of science will be searched for randomized controlled trials. Weighted mean difference and 95% confidence interval will be utilized to calculate t…

In recent years an increasing number of articles have employed meta-analysis to integrate effect sizes of researchers' own series of studies within a single article ("internal meta-analysis"). Although this approach has the obvious advantage of obtaining narrower confidence intervals, we show that it could inadvertentl…

Systematic review aims to systematically identify, critically appraise, and summarize all relevant studies that match predefined criteria and answer predefined questions. The most common type of systematic review is that assessing the effectiveness of an intervention or therapy. In this article, we discuss some of the…

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Assessment of the quality of reporting in abstracts of systematic reviews with meta-analyses in periodontology and implant dentistry. Faggion CM Jr., Liu J, Huda F, Atieh M. J Periodontal Res 2014; 49(2):137-42. REVIEWER: Argy Polychronopoulou, DDS, MS, ScM, ScD PURPOSE/QUE…

Meta-analysis of genome-wide association studies (GWASs) has become a popular method for discovering genetic risk variants. Here, we overview both widely applied and newer statistical methods for GWAS meta-analysis, including issues of interpretation and assessment of sources of heterogeneity. We also discuss extension…

Along with the development of evidence-based medicine, more and more systematic review/Meta-analysis papers on acupuncture therapy have been published in China. Most researches have played an important part in guiding clinical study and practice on acupuncture. However, low quality researches may mislead the users. In…

Disease management (DM) programmes have long been promoted as a major medical cost-saving mechanism, even though the scant research that exists on the topic has provided conflicting results. In a 2004 literature review, the Congressional Budget Office stated that 'there is insufficient evidence to conclude that disease…