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A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression
Biomarker discovery in the field of risk prediction in chronic kidney disease (CKD) embraces the prospect of improving our ability to risk stratify future adverse outcomes and thereby guide patient care in a new era of personalised medicine. However, many studies that report biomarkers predictive of...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716058/ https://www.ncbi.nlm.nih.gov/pubmed/33311975 http://dx.doi.org/10.1177/1177271920976146 |
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author | Ali, Ibrahim Ibrahim, Sara T Chinnadurai, Rajkumar Green, Darren Taal, Maarten Whetton, Tony D Kalra, Philip A |
author_facet | Ali, Ibrahim Ibrahim, Sara T Chinnadurai, Rajkumar Green, Darren Taal, Maarten Whetton, Tony D Kalra, Philip A |
author_sort | Ali, Ibrahim |
collection | PubMed |
description | Biomarker discovery in the field of risk prediction in chronic kidney disease (CKD) embraces the prospect of improving our ability to risk stratify future adverse outcomes and thereby guide patient care in a new era of personalised medicine. However, many studies that report biomarkers predictive of CKD progression share a key methodological limitation: failure to characterise patients’ renal progression precisely. This weakens any observable association between a biomarker and an outcome poorly defined by a patient’s change in renal function over time. In this commentary, we discuss the need for a better approach in this research arena and describe a compelling strategy that has the advantage of offering robust and meaningful biomarker exploration relevant to CKD progression. |
format | Online Article Text |
id | pubmed-7716058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-77160582020-12-10 A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression Ali, Ibrahim Ibrahim, Sara T Chinnadurai, Rajkumar Green, Darren Taal, Maarten Whetton, Tony D Kalra, Philip A Biomark Insights Commentary Biomarker discovery in the field of risk prediction in chronic kidney disease (CKD) embraces the prospect of improving our ability to risk stratify future adverse outcomes and thereby guide patient care in a new era of personalised medicine. However, many studies that report biomarkers predictive of CKD progression share a key methodological limitation: failure to characterise patients’ renal progression precisely. This weakens any observable association between a biomarker and an outcome poorly defined by a patient’s change in renal function over time. In this commentary, we discuss the need for a better approach in this research arena and describe a compelling strategy that has the advantage of offering robust and meaningful biomarker exploration relevant to CKD progression. SAGE Publications 2020-12-01 /pmc/articles/PMC7716058/ /pubmed/33311975 http://dx.doi.org/10.1177/1177271920976146 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Commentary Ali, Ibrahim Ibrahim, Sara T Chinnadurai, Rajkumar Green, Darren Taal, Maarten Whetton, Tony D Kalra, Philip A A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression |
title | A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression |
title_full | A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression |
title_fullStr | A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression |
title_full_unstemmed | A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression |
title_short | A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression |
title_sort | paradigm to discover biomarkers associated with chronic kidney disease progression |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716058/ https://www.ncbi.nlm.nih.gov/pubmed/33311975 http://dx.doi.org/10.1177/1177271920976146 |
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