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The strengths and limitations of meta-analyses based on aggregate data

BACKGROUND: Properly performed systematic reviews and meta-analyses are thought by many to represent among the highest level of evidence addressing important clinical issues. Few would disagree that meta-analyses based on individual patient data (IPD) offer several advantages and represent the stand...

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Autores principales: Lyman, Gary H, Kuderer, Nicole M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1097735/
https://www.ncbi.nlm.nih.gov/pubmed/15850485
http://dx.doi.org/10.1186/1471-2288-5-14
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author Lyman, Gary H
Kuderer, Nicole M
author_facet Lyman, Gary H
Kuderer, Nicole M
author_sort Lyman, Gary H
collection PubMed
description BACKGROUND: Properly performed systematic reviews and meta-analyses are thought by many to represent among the highest level of evidence addressing important clinical issues. Few would disagree that meta-analyses based on individual patient data (IPD) offer several advantages and represent the standard to which all other systematic reviews should be compared. METHODS: All cancer-related meta-analyses cited in Medline were classified as based on aggregate or individual patient data. A review was then undertaken of all reports comparing the comparative strengths and limitations of meta-analyses using either aggregate or individual patient data. RESULTS: The majority of published meta-analyses are based on summary or aggregate patient data (APD). Reasons suggested for this include the considerable resources, years of study and often, broad international cooperation required for IPD meta-analyses. Many of the most important features of systematic reviews including formal meta-analyses are addressed by both IPD and APD meta-analyses. The need for defining an explicit and relevant clinical question, exhaustively searching for the totality of evidence, meticulous and unbiased data transfer or extraction, assessment of between study heterogeneity and the use of appropriate statistical methods for estimating summary effect measures are essentially the same for the two approaches. CONCLUSION: IPD offers advantages and, when feasible, should be considered the best opportunity to summarize the results of multiple studies. However, the resources, time and cooperation required for such studies will continue to limit their use in many important areas of clinical medicine which can be meaningfully and cost-effectively approached by properly performed APD meta-analyses. APD meta-analyses continue to be the mainstay of systematic reviews utilized by the US Preventive Services Task Force, the Cochrane Collaboration and many professional societies to support clinical practice guidelines.
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spelling pubmed-10977352005-05-12 The strengths and limitations of meta-analyses based on aggregate data Lyman, Gary H Kuderer, Nicole M BMC Med Res Methodol Research Article BACKGROUND: Properly performed systematic reviews and meta-analyses are thought by many to represent among the highest level of evidence addressing important clinical issues. Few would disagree that meta-analyses based on individual patient data (IPD) offer several advantages and represent the standard to which all other systematic reviews should be compared. METHODS: All cancer-related meta-analyses cited in Medline were classified as based on aggregate or individual patient data. A review was then undertaken of all reports comparing the comparative strengths and limitations of meta-analyses using either aggregate or individual patient data. RESULTS: The majority of published meta-analyses are based on summary or aggregate patient data (APD). Reasons suggested for this include the considerable resources, years of study and often, broad international cooperation required for IPD meta-analyses. Many of the most important features of systematic reviews including formal meta-analyses are addressed by both IPD and APD meta-analyses. The need for defining an explicit and relevant clinical question, exhaustively searching for the totality of evidence, meticulous and unbiased data transfer or extraction, assessment of between study heterogeneity and the use of appropriate statistical methods for estimating summary effect measures are essentially the same for the two approaches. CONCLUSION: IPD offers advantages and, when feasible, should be considered the best opportunity to summarize the results of multiple studies. However, the resources, time and cooperation required for such studies will continue to limit their use in many important areas of clinical medicine which can be meaningfully and cost-effectively approached by properly performed APD meta-analyses. APD meta-analyses continue to be the mainstay of systematic reviews utilized by the US Preventive Services Task Force, the Cochrane Collaboration and many professional societies to support clinical practice guidelines. BioMed Central 2005-04-25 /pmc/articles/PMC1097735/ /pubmed/15850485 http://dx.doi.org/10.1186/1471-2288-5-14 Text en Copyright © 2005 Lyman and Kuderer; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lyman, Gary H
Kuderer, Nicole M
The strengths and limitations of meta-analyses based on aggregate data
title The strengths and limitations of meta-analyses based on aggregate data
title_full The strengths and limitations of meta-analyses based on aggregate data
title_fullStr The strengths and limitations of meta-analyses based on aggregate data
title_full_unstemmed The strengths and limitations of meta-analyses based on aggregate data
title_short The strengths and limitations of meta-analyses based on aggregate data
title_sort strengths and limitations of meta-analyses based on aggregate data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1097735/
https://www.ncbi.nlm.nih.gov/pubmed/15850485
http://dx.doi.org/10.1186/1471-2288-5-14
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