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Evaluating genomic tests from bench to bedside: a practical framework
The development of genomic tests is one of the most significant technological advances in medical testing in recent decades. As these tests become increasingly available, so does the need for a pragmatic framework to evaluate the evidence base and evidence gaps in order to facilitate informed decisi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538070/ https://www.ncbi.nlm.nih.gov/pubmed/23078403 http://dx.doi.org/10.1186/1472-6947-12-117 |
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author | Lin, Jennifer S Thompson, Matthew Goddard, Katrina AB Piper, Margaret A Heneghan, Carl Whitlock, Evelyn P |
author_facet | Lin, Jennifer S Thompson, Matthew Goddard, Katrina AB Piper, Margaret A Heneghan, Carl Whitlock, Evelyn P |
author_sort | Lin, Jennifer S |
collection | PubMed |
description | The development of genomic tests is one of the most significant technological advances in medical testing in recent decades. As these tests become increasingly available, so does the need for a pragmatic framework to evaluate the evidence base and evidence gaps in order to facilitate informed decision-making. In this article we describe such a framework that can provide a common language and benchmarks for different stakeholders of genomic testing. Each stakeholder can use this framework to specify their respective thresholds for decision-making, depending on their perspective and particular needs. This framework is applicable across a broad range of test applications and can be helpful in the application and communication of a regulatory science for genomic testing. Our framework builds upon existing work and incorporates principles familiar to researchers involved in medical testing (both diagnostic and prognostic) generally, as well as those involved in genomic testing. This framework is organized around six phases in the development of genomic tests beginning with marker identification and ending with population impact, and highlights the important knowledge gaps that need to be filled in establishing the clinical relevance of a test. Our framework focuses on the clinical appropriateness of the four main dimensions of test research questions (population/setting, intervention/index test, comparators/reference test, and outcomes) rather than prescribing a hierarchy of study designs that should be used to address each phase. |
format | Online Article Text |
id | pubmed-3538070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35380702013-01-10 Evaluating genomic tests from bench to bedside: a practical framework Lin, Jennifer S Thompson, Matthew Goddard, Katrina AB Piper, Margaret A Heneghan, Carl Whitlock, Evelyn P BMC Med Inform Decis Mak Correspondence The development of genomic tests is one of the most significant technological advances in medical testing in recent decades. As these tests become increasingly available, so does the need for a pragmatic framework to evaluate the evidence base and evidence gaps in order to facilitate informed decision-making. In this article we describe such a framework that can provide a common language and benchmarks for different stakeholders of genomic testing. Each stakeholder can use this framework to specify their respective thresholds for decision-making, depending on their perspective and particular needs. This framework is applicable across a broad range of test applications and can be helpful in the application and communication of a regulatory science for genomic testing. Our framework builds upon existing work and incorporates principles familiar to researchers involved in medical testing (both diagnostic and prognostic) generally, as well as those involved in genomic testing. This framework is organized around six phases in the development of genomic tests beginning with marker identification and ending with population impact, and highlights the important knowledge gaps that need to be filled in establishing the clinical relevance of a test. Our framework focuses on the clinical appropriateness of the four main dimensions of test research questions (population/setting, intervention/index test, comparators/reference test, and outcomes) rather than prescribing a hierarchy of study designs that should be used to address each phase. BioMed Central 2012-10-19 /pmc/articles/PMC3538070/ /pubmed/23078403 http://dx.doi.org/10.1186/1472-6947-12-117 Text en Copyright ©2012 Lin et al.; 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 | Correspondence Lin, Jennifer S Thompson, Matthew Goddard, Katrina AB Piper, Margaret A Heneghan, Carl Whitlock, Evelyn P Evaluating genomic tests from bench to bedside: a practical framework |
title | Evaluating genomic tests from bench to bedside: a practical framework |
title_full | Evaluating genomic tests from bench to bedside: a practical framework |
title_fullStr | Evaluating genomic tests from bench to bedside: a practical framework |
title_full_unstemmed | Evaluating genomic tests from bench to bedside: a practical framework |
title_short | Evaluating genomic tests from bench to bedside: a practical framework |
title_sort | evaluating genomic tests from bench to bedside: a practical framework |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538070/ https://www.ncbi.nlm.nih.gov/pubmed/23078403 http://dx.doi.org/10.1186/1472-6947-12-117 |
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