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How individual participant data meta-analyses have influenced trial design, conduct, and analysis
OBJECTIVES: To demonstrate how individual participant data (IPD) meta-analyses have impacted directly on the design and conduct of trials and highlight other advantages IPD might offer. STUDY DESIGN AND SETTING: Potential examples of the impact of IPD meta-analyses on trials were identified at an in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635379/ https://www.ncbi.nlm.nih.gov/pubmed/26186982 http://dx.doi.org/10.1016/j.jclinepi.2015.05.024 |
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author | Tierney, Jayne F. Pignon, Jean-Pierre Gueffyier, Francois Clarke, Mike Askie, Lisa Vale, Claire L. Burdett, Sarah |
author_facet | Tierney, Jayne F. Pignon, Jean-Pierre Gueffyier, Francois Clarke, Mike Askie, Lisa Vale, Claire L. Burdett, Sarah |
author_sort | Tierney, Jayne F. |
collection | PubMed |
description | OBJECTIVES: To demonstrate how individual participant data (IPD) meta-analyses have impacted directly on the design and conduct of trials and highlight other advantages IPD might offer. STUDY DESIGN AND SETTING: Potential examples of the impact of IPD meta-analyses on trials were identified at an international workshop, attended by individuals with experience in the conduct of IPD meta-analyses and knowledge of trials in their respective clinical areas. Experts in the field who did not attend were asked to provide any further examples. We then examined relevant trial protocols, publications, and Web sites to verify the impacts of the IPD meta-analyses. A subgroup of workshop attendees sought further examples and identified other aspects of trial design and conduct that may inform IPD meta-analyses. RESULTS: We identified 52 examples of IPD meta-analyses thought to have had a direct impact on the design or conduct of trials. After screening relevant trial protocols and publications, we identified 28 instances where IPD meta-analyses had clearly impacted on trials. They have influenced the selection of comparators and participants, sample size calculations, analysis and interpretation of subsequent trials, and the conduct and analysis of ongoing trials, sometimes in ways that would not possible with systematic reviews of aggregate data. We identified additional potential ways that IPD meta-analyses could be used to influence trials. CONCLUSIONS: IPD meta-analysis could be better used to inform the design, conduct, analysis, and interpretation of trials. |
format | Online Article Text |
id | pubmed-4635379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-46353792015-12-01 How individual participant data meta-analyses have influenced trial design, conduct, and analysis Tierney, Jayne F. Pignon, Jean-Pierre Gueffyier, Francois Clarke, Mike Askie, Lisa Vale, Claire L. Burdett, Sarah J Clin Epidemiol Original Article OBJECTIVES: To demonstrate how individual participant data (IPD) meta-analyses have impacted directly on the design and conduct of trials and highlight other advantages IPD might offer. STUDY DESIGN AND SETTING: Potential examples of the impact of IPD meta-analyses on trials were identified at an international workshop, attended by individuals with experience in the conduct of IPD meta-analyses and knowledge of trials in their respective clinical areas. Experts in the field who did not attend were asked to provide any further examples. We then examined relevant trial protocols, publications, and Web sites to verify the impacts of the IPD meta-analyses. A subgroup of workshop attendees sought further examples and identified other aspects of trial design and conduct that may inform IPD meta-analyses. RESULTS: We identified 52 examples of IPD meta-analyses thought to have had a direct impact on the design or conduct of trials. After screening relevant trial protocols and publications, we identified 28 instances where IPD meta-analyses had clearly impacted on trials. They have influenced the selection of comparators and participants, sample size calculations, analysis and interpretation of subsequent trials, and the conduct and analysis of ongoing trials, sometimes in ways that would not possible with systematic reviews of aggregate data. We identified additional potential ways that IPD meta-analyses could be used to influence trials. CONCLUSIONS: IPD meta-analysis could be better used to inform the design, conduct, analysis, and interpretation of trials. Elsevier 2015-11 /pmc/articles/PMC4635379/ /pubmed/26186982 http://dx.doi.org/10.1016/j.jclinepi.2015.05.024 Text en Crown Copyright © Published by Elsevier Inc. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Article Tierney, Jayne F. Pignon, Jean-Pierre Gueffyier, Francois Clarke, Mike Askie, Lisa Vale, Claire L. Burdett, Sarah How individual participant data meta-analyses have influenced trial design, conduct, and analysis |
title | How individual participant data meta-analyses have influenced trial design, conduct, and analysis |
title_full | How individual participant data meta-analyses have influenced trial design, conduct, and analysis |
title_fullStr | How individual participant data meta-analyses have influenced trial design, conduct, and analysis |
title_full_unstemmed | How individual participant data meta-analyses have influenced trial design, conduct, and analysis |
title_short | How individual participant data meta-analyses have influenced trial design, conduct, and analysis |
title_sort | how individual participant data meta-analyses have influenced trial design, conduct, and analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635379/ https://www.ncbi.nlm.nih.gov/pubmed/26186982 http://dx.doi.org/10.1016/j.jclinepi.2015.05.024 |
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