382,577 papers found

Meta-analysis is a statistical method used to combine results from multiple studies, providing a quantitative summary of their findings. One of the fundamental decisions in conducting a meta-analysis is choosing an appropriate model to estimate the overall effect size and its CI. In this article, we focus on the common…

The most common and well-known meta-regression models work under the assumption that there is only one effect size estimate per study and that the estimates are independent. However, meta-analytic reviews of social science research often include multiple effect size estimates per primary study, leading to dependence in…

Literature-based meta-analysis is a standard technique applied to pool results of individual studies used in medicine and social sciences. It has been criticized for being too malleable to constrain results, averaging incomparable values, lacking a measure of evidence's strength, and problems with a systematic bias of…

Often clinicians are interested in determining whether a subject's measurement falls within a normal range, defined as a range of values of a continuous outcome which contains some proportion (eg, 95%) of measurements from a healthy population. Several studies in the biomedical field have estimated reference ranges bas…

In the framework of meta-analysis, moderator analysis is usually performed only univariately. When several study characteristics are available that may account for treatment effect, standard meta-regression has difficulties in identifying interactions between them. To overcome this problem, meta-CART has been proposed:…

Meta-analysis has become a widely used tool to combine results from independent studies. The collected studies are homogeneous if they share a common underlying true effect size; otherwise, they are heterogeneous. A fixed-effect model is customarily used when the studies are deemed homogeneous, while a random-effects m…

OBJECTIVES: A common method for conducting a quantitative systematic review (QSR) for observational studies related to nutritional epidemiology is the "highest versus lowest intake" method (HLM), in which only the information concerning the effect size (ES) of the highest category of a food item is collected on the bas…

An unobserved random effect is often used to describe the between-study variation that is apparent in meta-analysis datasets. A normally distributed random effect is conventionally used for this purpose. When outliers or other unusual estimates are included in the analysis, the use of alternative random effect distribu…

This paper investigates the impact of the number of studies on meta-analysis and meta-regression within the random-effects model framework. It is frequently neglected that inference in random-effects models requires a substantial number of studies included in meta-analysis to guarantee reliable conclusions. Several aut…

Making inferences about the average treatment effect using the random effects model for meta-analysis is problematic in the common situation where there is a small number of studies. This is because estimates of the between-study variance are not precise enough to accurately apply the conventional methods for testing a…

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Application of Emerging Teaching Models in Dental Education: A Systematic Review and Meta-Analysis. Pang X, Li L, Liu X, Wang Y, Yang B. Int Dent J 2024;74:1185-1196. https://doi.org/10.1016/j.identj.2024.05.016 SOURCE OF FUNDING: This review was funded by the Teaching Refor…

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Wang Y, Chen CY, Stathopoulou PG, Graham LK, Korostoff J, Chen YW. Efficacy of Antibiotics Used as an Adjunct in the Treatment of Peri-implant Mucositis and Peri-implantitis: A Systematic Review and Meta-analysis. Int J Oral Maxillofac Implants. 2022 Mar-Apr;37(2):235-249. d…

PRP contains growth factors that promote tissue repair. The authors conducted a meta-analysis comparing PRP treatment to a control group. However, there are concerns about the lack of standardized protocols and specific details about PRP preparation. Factors such as platelet counts, leukocyte concentration, and the use…

Sequential analysis of clinical trials allows researchers a continuous monitoring of emerging data and greater security to avoid subjecting the trial participants to a less effective therapy before the inferiority is evident, while controlling the overall error rate. Although it has been widely used since its developme…

Some of the most important decisions that a researcher will make when conducting a meta-analysis are decisions about the search strategies and inclusion/exclusion criteria. Decisions regarding inclusion/exclusion criteria serve to define the scope of a meta-analysis and search strategy decisions can have a large impact…

BACKGROUND: A unique challenge in meta-analysis of observational studies is bias adjustment. Two different approaches have been proposed for doing this - using summary scores versus component scores. The prevailing view on this matter is that summary quality scores are inaccurate because information from its components…