Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
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
_version_ 1782387507590070272
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
work_keys_str_mv AT kleikerspamelawm acombinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT hooijmanscarlijn acombinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT gobeva acombinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT langhauserfriederike acombinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT rewellsarahsj acombinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT radermacherkim acombinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT ritskeshoitingamerel acombinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT howellsdavidw acombinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT kleinschnitzchristoph acombinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT hhwschmidtharald acombinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT kleikerspamelawm combinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT hooijmanscarlijn combinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT gobeva combinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT langhauserfriederike combinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT rewellsarahsj combinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT radermacherkim combinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT ritskeshoitingamerel combinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT howellsdavidw combinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT kleinschnitzchristoph combinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation
AT hhwschmidtharald combinedpreclinicalmetaanalysisandrandomizedconfirmatorytrialapproachtoimprovedatavalidityfortherapeutictargetvalidation