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The Prospective Dutch Colorectal Cancer (PLCRC) cohort: real-world data facilitating research and clinical care
Real-world data (RWD) sources are important to advance clinical oncology research and evaluate treatments in daily practice. Since 2013, the Prospective Dutch Colorectal Cancer (PLCRC) cohort, linked to the Netherlands Cancer Registry, serves as an infrastructure for scientific research collecting a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887218/ https://www.ncbi.nlm.nih.gov/pubmed/33594104 http://dx.doi.org/10.1038/s41598-020-79890-y |
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author | Derksen, Jeroen W. G. Vink, Geraldine R. Elferink, Marloes A. G. Roodhart, Jeanine M. L. Verkooijen, Helena M. van Grevenstein, Wilhelmina M. U. Siersema, Peter D. May, Anne M. Koopman, Miriam |
author_facet | Derksen, Jeroen W. G. Vink, Geraldine R. Elferink, Marloes A. G. Roodhart, Jeanine M. L. Verkooijen, Helena M. van Grevenstein, Wilhelmina M. U. Siersema, Peter D. May, Anne M. Koopman, Miriam |
author_sort | Derksen, Jeroen W. G. |
collection | PubMed |
description | Real-world data (RWD) sources are important to advance clinical oncology research and evaluate treatments in daily practice. Since 2013, the Prospective Dutch Colorectal Cancer (PLCRC) cohort, linked to the Netherlands Cancer Registry, serves as an infrastructure for scientific research collecting additional patient-reported outcomes (PRO) and biospecimens. Here we report on cohort developments and investigate to what extent PLCRC reflects the “real-world”. Clinical and demographic characteristics of PLCRC participants were compared with the general Dutch CRC population (n = 74,692, Dutch-ref). To study representativeness, standardized differences between PLCRC and Dutch-ref were calculated, and logistic regression models were evaluated on their ability to distinguish cohort participants from the Dutch-ref (AU-ROC 0.5 = preferred, implying participation independent of patient characteristics). Stratified analyses by stage and time-period (2013–2016 and 2017–Aug 2019) were performed to study the evolution towards RWD. In August 2019, 5744 patients were enrolled. Enrollment increased steeply, from 129 participants (1 hospital) in 2013 to 2136 (50 of 75 Dutch hospitals) in 2018. Low AU-ROC (0.65, 95% CI: 0.64–0.65) indicates limited ability to distinguish cohort participants from the Dutch-ref. Characteristics that remained imbalanced in the period 2017–Aug’19 compared with the Dutch-ref were age (65.0 years in PLCRC, 69.3 in the Dutch-ref) and tumor stage (40% stage-III in PLCRC, 30% in the Dutch-ref). PLCRC approaches to represent the Dutch CRC population and will ultimately meet the current demand for high-quality RWD. Efforts are ongoing to improve multidisciplinary recruitment which will further enhance PLCRC’s representativeness and its contribution to a learning healthcare system. |
format | Online Article Text |
id | pubmed-7887218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78872182021-02-18 The Prospective Dutch Colorectal Cancer (PLCRC) cohort: real-world data facilitating research and clinical care Derksen, Jeroen W. G. Vink, Geraldine R. Elferink, Marloes A. G. Roodhart, Jeanine M. L. Verkooijen, Helena M. van Grevenstein, Wilhelmina M. U. Siersema, Peter D. May, Anne M. Koopman, Miriam Sci Rep Article Real-world data (RWD) sources are important to advance clinical oncology research and evaluate treatments in daily practice. Since 2013, the Prospective Dutch Colorectal Cancer (PLCRC) cohort, linked to the Netherlands Cancer Registry, serves as an infrastructure for scientific research collecting additional patient-reported outcomes (PRO) and biospecimens. Here we report on cohort developments and investigate to what extent PLCRC reflects the “real-world”. Clinical and demographic characteristics of PLCRC participants were compared with the general Dutch CRC population (n = 74,692, Dutch-ref). To study representativeness, standardized differences between PLCRC and Dutch-ref were calculated, and logistic regression models were evaluated on their ability to distinguish cohort participants from the Dutch-ref (AU-ROC 0.5 = preferred, implying participation independent of patient characteristics). Stratified analyses by stage and time-period (2013–2016 and 2017–Aug 2019) were performed to study the evolution towards RWD. In August 2019, 5744 patients were enrolled. Enrollment increased steeply, from 129 participants (1 hospital) in 2013 to 2136 (50 of 75 Dutch hospitals) in 2018. Low AU-ROC (0.65, 95% CI: 0.64–0.65) indicates limited ability to distinguish cohort participants from the Dutch-ref. Characteristics that remained imbalanced in the period 2017–Aug’19 compared with the Dutch-ref were age (65.0 years in PLCRC, 69.3 in the Dutch-ref) and tumor stage (40% stage-III in PLCRC, 30% in the Dutch-ref). PLCRC approaches to represent the Dutch CRC population and will ultimately meet the current demand for high-quality RWD. Efforts are ongoing to improve multidisciplinary recruitment which will further enhance PLCRC’s representativeness and its contribution to a learning healthcare system. Nature Publishing Group UK 2021-02-16 /pmc/articles/PMC7887218/ /pubmed/33594104 http://dx.doi.org/10.1038/s41598-020-79890-y Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Derksen, Jeroen W. G. Vink, Geraldine R. Elferink, Marloes A. G. Roodhart, Jeanine M. L. Verkooijen, Helena M. van Grevenstein, Wilhelmina M. U. Siersema, Peter D. May, Anne M. Koopman, Miriam The Prospective Dutch Colorectal Cancer (PLCRC) cohort: real-world data facilitating research and clinical care |
title | The Prospective Dutch Colorectal Cancer (PLCRC) cohort: real-world data facilitating research and clinical care |
title_full | The Prospective Dutch Colorectal Cancer (PLCRC) cohort: real-world data facilitating research and clinical care |
title_fullStr | The Prospective Dutch Colorectal Cancer (PLCRC) cohort: real-world data facilitating research and clinical care |
title_full_unstemmed | The Prospective Dutch Colorectal Cancer (PLCRC) cohort: real-world data facilitating research and clinical care |
title_short | The Prospective Dutch Colorectal Cancer (PLCRC) cohort: real-world data facilitating research and clinical care |
title_sort | prospective dutch colorectal cancer (plcrc) cohort: real-world data facilitating research and clinical care |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887218/ https://www.ncbi.nlm.nih.gov/pubmed/33594104 http://dx.doi.org/10.1038/s41598-020-79890-y |
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