Basic aspects of meta-analysis. Part 1

Meta-analysis is one of the concepts of scientific methodology, and is a frequent but optional component of systematic reviews of empirical research. It joins the results of several scientific studies and tests one or more interrelated scientific hypotheses using quantitative (statistical) methods....

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Main Authors: A. Yu. Suvorov, I. V. Latushkina, K. А. Gulyaeva, N. M. Bulanov, M. Yu. Nadinskaia, A. A. Zaikin
Format: Article
Language:Russian
Published: Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University) 2023-03-01
Series:Сеченовский вестник
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Online Access:https://www.sechenovmedj.com/jour/article/view/895
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author A. Yu. Suvorov
I. V. Latushkina
K. А. Gulyaeva
N. M. Bulanov
M. Yu. Nadinskaia
A. A. Zaikin
author_facet A. Yu. Suvorov
I. V. Latushkina
K. А. Gulyaeva
N. M. Bulanov
M. Yu. Nadinskaia
A. A. Zaikin
author_sort A. Yu. Suvorov
collection DOAJ
description Meta-analysis is one of the concepts of scientific methodology, and is a frequent but optional component of systematic reviews of empirical research. It joins the results of several scientific studies and tests one or more interrelated scientific hypotheses using quantitative (statistical) methods. This analysis can either use primary data from the original studies or published (secondary) results of studies dealing with the same problem. Meta-analysis is used to obtain an estimate of the magnitude of an unknown effect, and compare the results of different studies, identifying patterns or other relationships in them, as well as possible sources of disagreement. Meta-analyses are the highest level of credibility within evidence-based medicine (EBM), so meta-analysis results are considered as the most reliable source of evidence. Understanding all the procedures of a meta-analysis will allow researchers to analyze the results of such studies correctly, as well as formulate tasks when conducting meta-analyses on their own. In this article the reader will be introduced to key concepts such as weighted effects, heterogeneity, the different types of statistical models used, and how to work with some of the types of plots produced in meta-analyses.
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institution Kabale University
issn 2218-7332
2658-3348
language Russian
publishDate 2023-03-01
publisher Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)
record_format Article
series Сеченовский вестник
spelling doaj-art-599d7537e86c4ec7975b3f53c2a2fd132025-08-20T03:37:12ZrusFederal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)Сеченовский вестник2218-73322658-33482023-03-0114141410.47093/2218-7332.2023.14.1.4-14563Basic aspects of meta-analysis. Part 1A. Yu. Suvorov0I. V. Latushkina1K. А. Gulyaeva2N. M. Bulanov3M. Yu. Nadinskaia4A. A. Zaikin5Sechenov First Moscow State Medical University (Sechenov University)Sechenov First Moscow State Medical University (Sechenov University)Sechenov First Moscow State Medical University (Sechenov University)Sechenov First Moscow State Medical University (Sechenov University)Sechenov First Moscow State Medical University (Sechenov University)Sechenov First Moscow State Medical University (Sechenov University)Meta-analysis is one of the concepts of scientific methodology, and is a frequent but optional component of systematic reviews of empirical research. It joins the results of several scientific studies and tests one or more interrelated scientific hypotheses using quantitative (statistical) methods. This analysis can either use primary data from the original studies or published (secondary) results of studies dealing with the same problem. Meta-analysis is used to obtain an estimate of the magnitude of an unknown effect, and compare the results of different studies, identifying patterns or other relationships in them, as well as possible sources of disagreement. Meta-analyses are the highest level of credibility within evidence-based medicine (EBM), so meta-analysis results are considered as the most reliable source of evidence. Understanding all the procedures of a meta-analysis will allow researchers to analyze the results of such studies correctly, as well as formulate tasks when conducting meta-analyses on their own. In this article the reader will be introduced to key concepts such as weighted effects, heterogeneity, the different types of statistical models used, and how to work with some of the types of plots produced in meta-analyses.https://www.sechenovmedj.com/jour/article/view/895effect sizefixed effects modelrandom effects modelheterogeneitysensitivity analysisrandomized controlled trialcohort study
spellingShingle A. Yu. Suvorov
I. V. Latushkina
K. А. Gulyaeva
N. M. Bulanov
M. Yu. Nadinskaia
A. A. Zaikin
Basic aspects of meta-analysis. Part 1
Сеченовский вестник
effect size
fixed effects model
random effects model
heterogeneity
sensitivity analysis
randomized controlled trial
cohort study
title Basic aspects of meta-analysis. Part 1
title_full Basic aspects of meta-analysis. Part 1
title_fullStr Basic aspects of meta-analysis. Part 1
title_full_unstemmed Basic aspects of meta-analysis. Part 1
title_short Basic aspects of meta-analysis. Part 1
title_sort basic aspects of meta analysis part 1
topic effect size
fixed effects model
random effects model
heterogeneity
sensitivity analysis
randomized controlled trial
cohort study
url https://www.sechenovmedj.com/jour/article/view/895
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AT myunadinskaia basicaspectsofmetaanalysispart1
AT aazaikin basicaspectsofmetaanalysispart1