Cargando…

Network meta-analysis: application and practice using Stata

This review aimed to arrange the concepts of a network meta-analysis (NMA) and to demonstrate the analytical process of NMA using Stata software under frequentist framework. The NMA tries to synthesize evidences for a decision making by evaluating the comparative effectiveness of more than two alter...

Descripción completa

Detalles Bibliográficos
Autores principales: Shim, Sungryul, Yoon, Byung-Ho, Shin, In-Soo, Bae, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Epidemiology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733388/
https://www.ncbi.nlm.nih.gov/pubmed/29092392
http://dx.doi.org/10.4178/epih.e2017047
_version_ 1783286887795916800
author Shim, Sungryul
Yoon, Byung-Ho
Shin, In-Soo
Bae, Jong-Myon
author_facet Shim, Sungryul
Yoon, Byung-Ho
Shin, In-Soo
Bae, Jong-Myon
author_sort Shim, Sungryul
collection PubMed
description This review aimed to arrange the concepts of a network meta-analysis (NMA) and to demonstrate the analytical process of NMA using Stata software under frequentist framework. The NMA tries to synthesize evidences for a decision making by evaluating the comparative effectiveness of more than two alternative interventions for the same condition. Before conducting a NMA, 3 major assumptions—similarity, transitivity, and consistency—should be checked. The statistical analysis consists of 5 steps. The first step is to draw a network geometry to provide an overview of the network relationship. The second step checks the assumption of consistency. The third step is to make the network forest plot or interval plot in order to illustrate the summary size of comparative effectiveness among various interventions. The fourth step calculates cumulative rankings for identifying superiority among interventions. The last step evaluates publication bias or effect modifiers for a valid inference from results. The synthesized evidences through five steps would be very useful to evidence-based decision-making in healthcare. Thus, NMA should be activated in order to guarantee the quality of healthcare system.
format Online
Article
Text
id pubmed-5733388
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Korean Society of Epidemiology
record_format MEDLINE/PubMed
spelling pubmed-57333882017-12-19 Network meta-analysis: application and practice using Stata Shim, Sungryul Yoon, Byung-Ho Shin, In-Soo Bae, Jong-Myon Epidemiol Health Methods This review aimed to arrange the concepts of a network meta-analysis (NMA) and to demonstrate the analytical process of NMA using Stata software under frequentist framework. The NMA tries to synthesize evidences for a decision making by evaluating the comparative effectiveness of more than two alternative interventions for the same condition. Before conducting a NMA, 3 major assumptions—similarity, transitivity, and consistency—should be checked. The statistical analysis consists of 5 steps. The first step is to draw a network geometry to provide an overview of the network relationship. The second step checks the assumption of consistency. The third step is to make the network forest plot or interval plot in order to illustrate the summary size of comparative effectiveness among various interventions. The fourth step calculates cumulative rankings for identifying superiority among interventions. The last step evaluates publication bias or effect modifiers for a valid inference from results. The synthesized evidences through five steps would be very useful to evidence-based decision-making in healthcare. Thus, NMA should be activated in order to guarantee the quality of healthcare system. Korean Society of Epidemiology 2017-10-27 /pmc/articles/PMC5733388/ /pubmed/29092392 http://dx.doi.org/10.4178/epih.e2017047 Text en ©2017, Korean Society of Epidemiology This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods
Shim, Sungryul
Yoon, Byung-Ho
Shin, In-Soo
Bae, Jong-Myon
Network meta-analysis: application and practice using Stata
title Network meta-analysis: application and practice using Stata
title_full Network meta-analysis: application and practice using Stata
title_fullStr Network meta-analysis: application and practice using Stata
title_full_unstemmed Network meta-analysis: application and practice using Stata
title_short Network meta-analysis: application and practice using Stata
title_sort network meta-analysis: application and practice using stata
topic Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733388/
https://www.ncbi.nlm.nih.gov/pubmed/29092392
http://dx.doi.org/10.4178/epih.e2017047
work_keys_str_mv AT shimsungryul networkmetaanalysisapplicationandpracticeusingstata
AT yoonbyungho networkmetaanalysisapplicationandpracticeusingstata
AT shininsoo networkmetaanalysisapplicationandpracticeusingstata
AT baejongmyon networkmetaanalysisapplicationandpracticeusingstata