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A combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation
Biomedical research suffers from a dramatically poor translational success. For example, in ischemic stroke, a condition with a high medical need, over a thousand experimental drug targets were unsuccessful. Here, we adopt methods from clinical research for a late-stage pre-clinical meta-analysis (M...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550831/ https://www.ncbi.nlm.nih.gov/pubmed/26310318 http://dx.doi.org/10.1038/srep13428 |
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author | Kleikers, Pamela WM. Hooijmans, Carlijn Göb, Eva Langhauser, Friederike Rewell, Sarah SJ. Radermacher, Kim Ritskes-Hoitinga, Merel Howells, David W. Kleinschnitz, Christoph HHW Schmidt, Harald |
author_facet | Kleikers, Pamela WM. Hooijmans, Carlijn Göb, Eva Langhauser, Friederike Rewell, Sarah SJ. Radermacher, Kim Ritskes-Hoitinga, Merel Howells, David W. Kleinschnitz, Christoph HHW Schmidt, Harald |
author_sort | Kleikers, Pamela WM. |
collection | PubMed |
description | Biomedical research suffers from a dramatically poor translational success. For example, in ischemic stroke, a condition with a high medical need, over a thousand experimental drug targets were unsuccessful. Here, we adopt methods from clinical research for a late-stage pre-clinical meta-analysis (MA) and randomized confirmatory trial (pRCT) approach. A profound body of literature suggests NOX2 to be a major therapeutic target in stroke. Systematic review and MA of all available NOX2(-/y) studies revealed a positive publication bias and lack of statistical power to detect a relevant reduction in infarct size. A fully powered multi-center pRCT rejects NOX2 as a target to improve neurofunctional outcomes or achieve a translationally relevant infarct size reduction. Thus stringent statistical thresholds, reporting negative data and a MA-pRCT approach can ensure biomedical data validity and overcome risks of bias. |
format | Online Article Text |
id | pubmed-4550831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45508312015-09-04 A combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation Kleikers, Pamela WM. Hooijmans, Carlijn Göb, Eva Langhauser, Friederike Rewell, Sarah SJ. Radermacher, Kim Ritskes-Hoitinga, Merel Howells, David W. Kleinschnitz, Christoph HHW Schmidt, Harald Sci Rep Article Biomedical research suffers from a dramatically poor translational success. For example, in ischemic stroke, a condition with a high medical need, over a thousand experimental drug targets were unsuccessful. Here, we adopt methods from clinical research for a late-stage pre-clinical meta-analysis (MA) and randomized confirmatory trial (pRCT) approach. A profound body of literature suggests NOX2 to be a major therapeutic target in stroke. Systematic review and MA of all available NOX2(-/y) studies revealed a positive publication bias and lack of statistical power to detect a relevant reduction in infarct size. A fully powered multi-center pRCT rejects NOX2 as a target to improve neurofunctional outcomes or achieve a translationally relevant infarct size reduction. Thus stringent statistical thresholds, reporting negative data and a MA-pRCT approach can ensure biomedical data validity and overcome risks of bias. Nature Publishing Group 2015-08-27 /pmc/articles/PMC4550831/ /pubmed/26310318 http://dx.doi.org/10.1038/srep13428 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Kleikers, Pamela WM. Hooijmans, Carlijn Göb, Eva Langhauser, Friederike Rewell, Sarah SJ. Radermacher, Kim Ritskes-Hoitinga, Merel Howells, David W. Kleinschnitz, Christoph HHW Schmidt, Harald A combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation |
title | A combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation |
title_full | A combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation |
title_fullStr | A combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation |
title_full_unstemmed | A combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation |
title_short | A combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation |
title_sort | combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550831/ https://www.ncbi.nlm.nih.gov/pubmed/26310318 http://dx.doi.org/10.1038/srep13428 |
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