392,186 papers found

OBJECTIVES: While multiple studies have shown the safety and efficacy of non-operative management, appendectomy remains the standard treatment for uncomplicated acute appendicitis (UAA). This study presents a protocol for a meta-analysis comparing antibiotic therapy, endoscopic retrograde appendicitis therapy (ERAT) an…

Meta-analyses, which present the best source of information on the effectiveness of interventions, are influenced by several biases. One category relates to the convenience of selective inclusion of those primary studies, which are more easily available than others. This availability bias includes bias from excluding t…

Traumatic brain injury (TBI) poses significant challenges for assessing fitness-to-drive (FTD) and determining the appropriate timing for return-to-driving (RTD) in civilian adults. This systematic review and meta-analysis protocol is designed to offer a comprehensive assessment of RTD timelines post-TBI, examining the…

This study aims to provide evidence regarding whether Qingufei paidu decoction (, QFPD) treatment in the acute phase shows long-term benefits for coronavirus disease 2019-associated sequelae. The 10 databases will be retrieved. Every reference list of related trials and gray literature will be searched as well. Study s…

Network meta-analysis (NMA) as the quantification of pairwise meta-analysis in a network format has been of particular interest to medical researchers in recent years. As a powerful tool with which direct and indirect evidence from multiple interventions can be synthesized simultaneously in the study and design of clin…

BACKGROUND: It is yet unknown if the ApneaGraph200 system can replace the Polysomnography system (PSG), which is now the gold standard for obstructive sleep apnea (OSA) diagnosis. We performed a meta-analysis to evaluate the difference in apnea hypopnea index and lowest oxygen saturation levels between the AG200 system…

BACKGROUND: Prognostic models are typically developed to estimate the risk that an individual in a particular health state will develop a particular health outcome, to support (shared) decision making. Systematic reviews of prognostic model studies can help identify prognostic models that need to further be validated o…

This article belongs to a collaborative methodological series of narrative reviews about biostatistics and clinical epidemiology. The goal is to present basics concepts concerning the systematics reviews of multiple treatments comparisons with network meta-analysis. For clinical ques-tions with several therapeutic alte…

BACKGROUND: Meta-analysis is a statistical method to synthesize evidence from a number of independent studies, including those from clinical studies with binary outcomes. In practice, when there are zero events in one or both groups, it may cause statistical problems in the subsequent analysis. METHODS: In this paper,…

Publication bias threatens meta-analysis validity. It is often assessed via the funnel plot; an asymmetric plot implies small-study effects, and publication bias is one cause of the asymmetry. Egger's regression test is a widely used tool to quantitatively assess such asymmetry. It examines the association between the…

Studies accumulate over time and meta-analyses are mainly retrospective. These two characteristics introduce dependencies between the, at which a series of studies is up for meta-analysis, and results within the series. Dependencies introduce biasand invalidate the sampling distribution assumed for p-value tests, thus…

Pathway-based differential expression analysis allows the incorporation of biological domain knowledge into transcriptomics analysis to enhance our understanding of disease mechanisms. To integrate information among multiple studies at the pathway level, pathway-based meta-analysis can be performed. Paired or partially…

BACKGROUND: When investigating subgroup effects in meta-analysis, it is unclear whether accounting in meta-regression for between-trial variation in treatment effects, but not between-trial variation in treatment interaction effects when such effects are present, leads to biased estimates, coverage problems, or wrong s…

The Hartung-Knapp method for random-effects meta-analysis, that was also independently proposed by Sidik and Jonkman, is becoming advocated for general use. This method has previously been justified by taking all estimated variances as known and using a different pivotal quantity to the more conventional one when makin…

OBJECTIVES: The aim of the study was to develop a Grading of Recommendations, Assessment, Development and Evaluation (GRADE) summary of findings (SoF) table format that displays the critical information from a network meta-analysis (NMA). STUDY DESIGN AND SETTING: We applied a user experience model for data analysis b…

In meta-analytic studies, there are often multiple moderators available (eg, study characteristics). In such cases, traditional meta-analysis methods often lack sufficient power to investigate interaction effects between moderators, especially high-order interactions. To overcome this problem, meta-CART was proposed: a…

Network meta-analysis compares multiple treatments from studies that form a connected network of evidence. However, for complex networks, it is not easy to see if the network is connected. We use simple techniques from graph theory to test the connectedness of evidence networks in network meta-analysis. The method is t…

While meta-analysis has demonstrated increased statistical power and more robust estimations in studies, the application of this commonly accepted methodology to cytometry data has been challenging. Different cytometry studies often involve diverse sets of markers. Moreover, the detected values of the same marker are i…

Network meta-analysis (NMA) has become an increasingly used tool to compare multiple treatments simultaneously by synthesizing direct and indirect evidence in clinical research. However, many existing studies did not properly report the evidence of treatment comparisons and show the comparison structure to audience. In…

Progress in the science and practice of health psychology depends on the systematic synthesis of quantitative psychological evidence. Meta-analyses of experimental studies have led to important advances in understanding health-related behaviour change interventions. Fundamental questions regarding such interventions ha…