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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Communications and Publications Division (CPD) of the IFCC
2015
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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. |
format | Online Article Text |
id | pubmed-4975224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The Communications and Publications Division (CPD) of the IFCC |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bossuytpatrickm evaluatingbiomarkersforguidingtreatmentdecisions AT parvintajik evaluatingbiomarkersforguidingtreatmentdecisions |