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Active surveillance: a review of risk-based, dynamic monitoring
Active surveillance (AS) is an important treatment modality aiming to reduce the overtreatment of patients with prostate cancer (PCa) who have a low risk of disease reclassification. After enrolling in AS patients are actively monitored using different diagnostic tests (e.g., prostate specific-antig...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5861286/ https://www.ncbi.nlm.nih.gov/pubmed/29594025 http://dx.doi.org/10.21037/tau.2017.12.27 |
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author | Nieboer, Daan Tomer, Anirudh Rizopoulos, Dimitris Roobol, Monique J. Steyerberg, Ewout W. |
author_facet | Nieboer, Daan Tomer, Anirudh Rizopoulos, Dimitris Roobol, Monique J. Steyerberg, Ewout W. |
author_sort | Nieboer, Daan |
collection | PubMed |
description | Active surveillance (AS) is an important treatment modality aiming to reduce the overtreatment of patients with prostate cancer (PCa) who have a low risk of disease reclassification. After enrolling in AS patients are actively monitored using different diagnostic tests (e.g., prostate specific-antigen, digital rectal exams (DREs), medical imaging, and prostate biopsies). Biopsy is the most burdensome test. We aimed to review schedules for monitoring men on AS. We compare fixed versus risk based dynamic monitoring, where biopsies are scheduled during follow-up based on dynamic risk predictions. Several prediction models and scheduling techniques have been published. All proposed risk prediction models need further external validation. We conclude that risk based, dynamic monitoring is a promising new strategy to further reduce overtreatment in PCa patients. |
format | Online Article Text |
id | pubmed-5861286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-58612862018-03-28 Active surveillance: a review of risk-based, dynamic monitoring Nieboer, Daan Tomer, Anirudh Rizopoulos, Dimitris Roobol, Monique J. Steyerberg, Ewout W. Transl Androl Urol Review Article Active surveillance (AS) is an important treatment modality aiming to reduce the overtreatment of patients with prostate cancer (PCa) who have a low risk of disease reclassification. After enrolling in AS patients are actively monitored using different diagnostic tests (e.g., prostate specific-antigen, digital rectal exams (DREs), medical imaging, and prostate biopsies). Biopsy is the most burdensome test. We aimed to review schedules for monitoring men on AS. We compare fixed versus risk based dynamic monitoring, where biopsies are scheduled during follow-up based on dynamic risk predictions. Several prediction models and scheduling techniques have been published. All proposed risk prediction models need further external validation. We conclude that risk based, dynamic monitoring is a promising new strategy to further reduce overtreatment in PCa patients. AME Publishing Company 2018-02 /pmc/articles/PMC5861286/ /pubmed/29594025 http://dx.doi.org/10.21037/tau.2017.12.27 Text en 2018 Translational Andrology and Urology. All rights reserved. |
spellingShingle | Review Article Nieboer, Daan Tomer, Anirudh Rizopoulos, Dimitris Roobol, Monique J. Steyerberg, Ewout W. Active surveillance: a review of risk-based, dynamic monitoring |
title | Active surveillance: a review of risk-based, dynamic monitoring |
title_full | Active surveillance: a review of risk-based, dynamic monitoring |
title_fullStr | Active surveillance: a review of risk-based, dynamic monitoring |
title_full_unstemmed | Active surveillance: a review of risk-based, dynamic monitoring |
title_short | Active surveillance: a review of risk-based, dynamic monitoring |
title_sort | active surveillance: a review of risk-based, dynamic monitoring |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5861286/ https://www.ncbi.nlm.nih.gov/pubmed/29594025 http://dx.doi.org/10.21037/tau.2017.12.27 |
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