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Evaluating Biomarkers for Guiding Treatment Decisions

The genetic revolution is expected to lead to improved targeting of new and existing forms of treatment. Rather than a one-size-fits-all blockbuster strategy in battling disease with drugs and other interventions, a more precise approach is becoming available, one in which treatment is only offered...

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Detalles Bibliográficos
Autores principales: Bossuyt, Patrick M., Parvin, Tajik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Communications and Publications Division (CPD) of the IFCC 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975224/
https://www.ncbi.nlm.nih.gov/pubmed/27683482
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author Bossuyt, Patrick M.
Parvin, Tajik
author_facet Bossuyt, Patrick M.
Parvin, Tajik
author_sort Bossuyt, Patrick M.
collection PubMed
description The genetic revolution is expected to lead to improved targeting of new and existing forms of treatment. Rather than a one-size-fits-all blockbuster strategy in battling disease with drugs and other interventions, a more precise approach is becoming available, one in which treatment is only offered to those likely to benefit. The identification of those likely to benefit from treatment could be based on one or more biomarkers, but in an era where medical decisions aim to be evidence-based, the use of treatment selection markers should not just be based on hope and optimism, but on solid data from sound research. The performance of the treatment selection marker should be expressed in quantitative terms, similar to the way we express the clinical performance of diagnostic markers, or the performance of prognostic markers.
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spelling pubmed-49752242016-09-28 Evaluating Biomarkers for Guiding Treatment Decisions Bossuyt, Patrick M. Parvin, Tajik EJIFCC Research Article The genetic revolution is expected to lead to improved targeting of new and existing forms of treatment. Rather than a one-size-fits-all blockbuster strategy in battling disease with drugs and other interventions, a more precise approach is becoming available, one in which treatment is only offered to those likely to benefit. The identification of those likely to benefit from treatment could be based on one or more biomarkers, but in an era where medical decisions aim to be evidence-based, the use of treatment selection markers should not just be based on hope and optimism, but on solid data from sound research. The performance of the treatment selection marker should be expressed in quantitative terms, similar to the way we express the clinical performance of diagnostic markers, or the performance of prognostic markers. The Communications and Publications Division (CPD) of the IFCC 2015-01-27 /pmc/articles/PMC4975224/ /pubmed/27683482 Text en Copyright © 2015 International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). All rights reserved. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bossuyt, Patrick M.
Parvin, Tajik
Evaluating Biomarkers for Guiding Treatment Decisions
title Evaluating Biomarkers for Guiding Treatment Decisions
title_full Evaluating Biomarkers for Guiding Treatment Decisions
title_fullStr Evaluating Biomarkers for Guiding Treatment Decisions
title_full_unstemmed Evaluating Biomarkers for Guiding Treatment Decisions
title_short Evaluating Biomarkers for Guiding Treatment Decisions
title_sort evaluating biomarkers for guiding treatment decisions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975224/
https://www.ncbi.nlm.nih.gov/pubmed/27683482
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