Comprehensive meta analysis single subject

#Comprehensive meta analysis single subject registration#

Adequate extraction and recording of key data from primary articles are fundamental for carrying out a meta-analysis. The Web of Science database can be used to identify publications that have cited key articles. Usually, the bibliography of review articles might help to identify additional articles and data from other types of documents (such as theses or conference proceedings) that might be included in your meta-analysis. Moreover, in other cases, direct search for the data is also advisable (i.e., Gene Expression Omnibus database for gene expression studies). In some specific areas, searching in specialized databases is also worth doing (such as BIOSIS, Cumulative index to Nursing and Allied Health Literature (CINAHL), PsycINFO, Sociological Abstracts, and EconLit, among others). Usually, searching in several databases helps to minimize the possibility of failing to identify all published studies. You can carry out your systematic search in several bibliographic databases, such as PubMed, Embase, The Cochrane Central Register of Controlled Trials, Scopus, Web of Science, and Google Scholar. Rule 4: Carry out a systematic search in different databases and extract key data

#Comprehensive meta analysis single subject registration#

Keep in mind that an increasing number of journals require registration prior to publication. It is advisable to preregister the systematic review protocols at the International Prospective Register of Systematic Reviews (PROSPERO ) database. In addition, there is the possibility to carry out meta-analyses for genetic association studies, gene expression studies, genome-wide association studies (GWASs), or data from animal experiments.

As observational studies have a larger possibility of having several biases, meta-analyses of these types of designs should take that into account. It is possible to carry out meta-analyses for multiple types of studies, such as epidemiological variables for case-control, cohort, and randomized clinical trials. In some cases, an updated meta-analysis in a topic is needed if additional data become available. It is important to verify that there are no published meta-analyses on the specific topic in order to avoid duplication of efforts. Rule 1: Specify the topic and type of the meta-analysisД¬onsidering that a systematic review is fundamental for a meta-analysis, you can use the Population, Intervention, Comparison, Outcome (PICO) model to formulate the research question. We present here ten simple rules for carrying out and writing meta-analyses. ДЄlthough there are several published articles describing comprehensive guidelines for specific types of meta-analyses, there is still the need for an abridged article with general and updated recommendations for researchers interested in the development of meta-analyses. The methods and standards for carrying out meta-analyses have evolved in recent years. It has been found that meta-analyses are among the types of publications that usually receive a larger number of citations in the biomedical sciences. Because of the significant increase in the published scientific literature in recent years, there has also been an important growth in the number of meta-analyses for a large number of topics. Meta-analysis is a powerful tool to cumulate and summarize the knowledge in a research field. In the context of evidence-based medicine, meta-analyses provide novel and useful information, as they are at the top of the pyramid of evidence and consolidate previous evidence published in multiple previous reports. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Д¬ompeting interests: The authors have declared that no competing interests exist. PGB is partially supported by ELIXIR-GR, the Greek Research Infrastructure for data management and analysis in the biosciences. DAF is supported by research grants from Colciencias and VCTI. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ДЇunding: YG-G is supported by a PhD fellowship from Centro de Estudios Interdisciplinarios BГЎsicos y Aplicados CEIBA (Rodolfo LlinГЎs Program). PLoS Comput Biol 15(5):Д®ditor: Scott Markel, Dassault Systemes BIOVIA, UNITED STATESД¬opyright: В© 2019 Forero et al. Citation: Forero DA, Lopez-Leon S, GonzГЎlez-Giraldo Y, Bagos PG (2019) Ten simple rules for carrying out and writing meta-analyses.