392,240 papers found

OBJECTIVE: To systematically evaluate the evidence across surgical specialties as to whether staples or sutures better improve patient and provider level outcomes. DESIGN: A systematic review of systematic reviews and panoramic meta-analysis of pooled estimates. RESULTS: Eleven systematic reviews, including 13,661 ob…

In evidence-based medicine (EBM), systematic reviews and meta-analyses have been widely applied in biological and medical research. Moreover, the most popular application of meta-analyses in this field may be to examine diagnostic (sensitivity and specificity) and prognostic (hazard ratio (HR) and its variance, standar…

OBJECTIVE: Meta-analysis of predictive values is usually discouraged because these values are directly affected by disease prevalence, but sensitivity and specificity sometimes show substantial heterogeneity as well. We propose a bivariate random-effects logitnormal model for the meta-analysis of the positive predictiv…

Meta-analyses pooling continuous outcomes can use mean differences (MD), standardized MD (MD in pooled standard deviation units, SMD), or ratio of arithmetic means (RoM). Recently, ratio of geometric means using ad hoc (RoGM (ad hoc) ) or Taylor series (RoGM (Taylor) ) methods for estimating variances have been…

OBJECTIVE: We aim to illustrate the potential impact of a new study on a meta-analysis, which gives an indication of the robustness of the meta-analysis. STUDY DESIGN AND SETTING: A number of augmentations are proposed to one of the most widely used of graphical displays, the funnel plot. Namely, 1) statistical signif…

BACKGROUND: Meta-analyses including a limited number of patients and events are prone to yield overestimated intervention effect estimates. While many assume bias is the cause of overestimation, theoretical considerations suggest that random error may be an equal or more frequent cause. The independent impact of random…

BACKGROUND: Many different microarray experiments are publicly available today. It is natural to ask whether different experiments for the same phenotypic conditions can be combined using meta-analysis, in order to increase the overall sample size. However, some genes are not measured in all experiments, hence they can…

BACKGROUND: There is growing interest in the study of gene-environment interactions in the context of genome-wide association studies (GWASs). These studies will likely require meta-analytic approaches to have sufficient power. METHODS: We describe an approach for meta-analysis of a joint test for genetic main effects…

BACKGROUND: Meta-analysis is a popular methodology in several fields of medical research, including genetic association studies. However, the methods used for meta-analysis of association studies that report haplotypes have not been studied in detail. In this work, methods for performing meta-analysis of haplotype asso…

Meta-analysis is the analysis of the results of multiple studies, which is typically performed in order to synthesize evidence from many possible sources in a formal probabilistic manner. In a simple sense, the outcome of each study becomes a single observation in the meta-analysis of all available studies. The methodo…

OBJECTIVE: Laser phototherapy has been widely used to relieve pain for more than 30 years, but its efficacy remains controversial. To ascertain the overall effect of phototherapy on pain, we aggregated the literature and subjected the studies to statistical meta-analysis. METHODS: Relevant original studies were gather…

To evaluate the relative role of left and right hemispheres (RH) and describe the functional anatomy of RH during ortholinguistic tasks, we re-analyzed the 128 papers of a former left-hemisphere (LH) meta-analysis (Vigneau et al., 2006). Of these, 59 articles reported RH participation, providing 105 RH language contras…

The significance of risk effects in genetic association studies is assessed using the odds ratio for various genetic models (dominant, recessive and co-dominant) by merging genotypes. These models are not independent and there is no a priori biological justification for their choice. Consequently, the interpretation of…

Meta-analysis, a complex statistical method which involves synthesis of data from relevant studies to devise an effect size or a conclusion, has increasingly been recognized and impacts on evidence-based medicine, especially in the field of health science. Thanks to the advent and unmet need of evidence-based medicine,…

Asymmetry in the funnel plot for a meta-analysis suggests the presence of dissemination bias. This may be caused by publication bias through the decisions of journal editors, by selective reporting of research results by authors or by a combination of both. Typically, study results that are statistically significant or…

OBJECTIVES: This article aims to (1) describe the steps in the development of a meta-analysis, (2) discuss the use of meta-analysis in developing an evidence base for case management practice, and (3) provide some basic guidelines for evaluating the meta-analysis. PRIMARY PRACTICE SETTINGS: Evidence-based practice (EB…

UNLABELLED: Several grafting materials have been used in sinus augmentation procedures including autogenous bone, demineralized freeze-dried bone (DFDBA), hydroxyapatite, beta-tricalcium phosphate (beta-TCP), anorganic deproteinized bovine bone and combination of these and others. Up to now a subject of controversy in…

This article brings into serious question the validity of empirically based weighting in random effects meta-analysis. These methods treat sample sizes as non-random, whereas they need to be part of the random effects analysis. It will be demonstrated that empirical weighting risks substantial bias. Two alternate metho…

In oncology, prognostic markers are clinical measures used to help elicit an individual patient's risk of a future outcome, such as recurrence of disease after primary treatment. They thus facilitate individual treatment choice and aid in patient counselling. Evidence-based results regarding prognostic markers are ther…

MOTIVATION: Transcriptomic studies using microarray technology have become a standard tool in life sciences in the last decade. Nevertheless the cost of these experiments remains high and forces scientists to work with small sample sizes at the expense of statistical power. In many cases, little or no prior knowledge o…