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Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the United Kingdom

BACKGROUND: In the United Kingdom, hospital or cancer registry data can be linked to electronic medical records for a subset of general practices and years. METHODS: We used Clinical Practice Research Datalink data (2004–2012) from patients treated for overactive bladder. We electronically identifie...

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Autores principales: Margulis, Andrea V., Fortuny, Joan, Kaye, James A., Calingaert, Brian, Reynolds, Maria, Plana, Estel, McQuay, Lisa J., Atsma, Willem Jan, Franks, Billy, de Vogel, Stefan, Perez-Gutthann, Susana, Arana, Alejandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794229/
https://www.ncbi.nlm.nih.gov/pubmed/29135571
http://dx.doi.org/10.1097/EDE.0000000000000786
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author Margulis, Andrea V.
Fortuny, Joan
Kaye, James A.
Calingaert, Brian
Reynolds, Maria
Plana, Estel
McQuay, Lisa J.
Atsma, Willem Jan
Franks, Billy
de Vogel, Stefan
Perez-Gutthann, Susana
Arana, Alejandro
author_facet Margulis, Andrea V.
Fortuny, Joan
Kaye, James A.
Calingaert, Brian
Reynolds, Maria
Plana, Estel
McQuay, Lisa J.
Atsma, Willem Jan
Franks, Billy
de Vogel, Stefan
Perez-Gutthann, Susana
Arana, Alejandro
author_sort Margulis, Andrea V.
collection PubMed
description BACKGROUND: In the United Kingdom, hospital or cancer registry data can be linked to electronic medical records for a subset of general practices and years. METHODS: We used Clinical Practice Research Datalink data (2004–2012) from patients treated for overactive bladder. We electronically identified provisional cases of 10 common cancers in General Practitioner Online Database data and validated them by medical profile review. In practices with linkage to Hospital Episodes Statistics and National Cancer Data Repository (2004–2010), we validated provisional cancer cases against these data sources. This linkage also let us identify additional cancer diagnoses in individuals without cancer diagnosis records in the General Practitioner Online Database. RESULTS: Among 50,840 patients, 1,486 provisional cancer cases were identified in the General Practitioner Online Database for 2004–2012. Medical profile review confirmed 93% of 661 cases in nonlinked practices (range, 100% of non-Hodgkin lymphomas and uterine cancer to 77% of skin melanomas) and 96% of 825 cases in linked practices (100% of kidney and uterine cancers to 92% of melanomas). In the subset of linked practices, for 2004–2010, 720 cases were confirmed, of which 68% were identifiable in the General Practitioner Online Database (range, 90% of breast to 36% of kidney cancers). CONCLUSIONS: Most cases of cancer identified electronically in the General Practitioner Online Database were confirmed. A substantial proportion of cases, especially of cancer types not typically managed by general practitioners, would be missed without Hospital Episodes Statistics and National Cancer Data Repository data (and are likely missed in nonlinked practices). See video abstract at, http://links.lww.com/EDE/B315. REGISTRATION (BEFORE STUDY CONDUCT): European Union electronic Register of Post-Authorisation Studies (EU PAS Registry) number EUPAS5529, http://www.encepp.eu/encepp/viewResource.htm?id=11107.
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spelling pubmed-57942292018-02-13 Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the United Kingdom Margulis, Andrea V. Fortuny, Joan Kaye, James A. Calingaert, Brian Reynolds, Maria Plana, Estel McQuay, Lisa J. Atsma, Willem Jan Franks, Billy de Vogel, Stefan Perez-Gutthann, Susana Arana, Alejandro Epidemiology Validation BACKGROUND: In the United Kingdom, hospital or cancer registry data can be linked to electronic medical records for a subset of general practices and years. METHODS: We used Clinical Practice Research Datalink data (2004–2012) from patients treated for overactive bladder. We electronically identified provisional cases of 10 common cancers in General Practitioner Online Database data and validated them by medical profile review. In practices with linkage to Hospital Episodes Statistics and National Cancer Data Repository (2004–2010), we validated provisional cancer cases against these data sources. This linkage also let us identify additional cancer diagnoses in individuals without cancer diagnosis records in the General Practitioner Online Database. RESULTS: Among 50,840 patients, 1,486 provisional cancer cases were identified in the General Practitioner Online Database for 2004–2012. Medical profile review confirmed 93% of 661 cases in nonlinked practices (range, 100% of non-Hodgkin lymphomas and uterine cancer to 77% of skin melanomas) and 96% of 825 cases in linked practices (100% of kidney and uterine cancers to 92% of melanomas). In the subset of linked practices, for 2004–2010, 720 cases were confirmed, of which 68% were identifiable in the General Practitioner Online Database (range, 90% of breast to 36% of kidney cancers). CONCLUSIONS: Most cases of cancer identified electronically in the General Practitioner Online Database were confirmed. A substantial proportion of cases, especially of cancer types not typically managed by general practitioners, would be missed without Hospital Episodes Statistics and National Cancer Data Repository data (and are likely missed in nonlinked practices). See video abstract at, http://links.lww.com/EDE/B315. REGISTRATION (BEFORE STUDY CONDUCT): European Union electronic Register of Post-Authorisation Studies (EU PAS Registry) number EUPAS5529, http://www.encepp.eu/encepp/viewResource.htm?id=11107. Lippincott Williams & Wilkins 2018-03 2018-02-01 /pmc/articles/PMC5794229/ /pubmed/29135571 http://dx.doi.org/10.1097/EDE.0000000000000786 Text en Copyright © 2017 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Validation
Margulis, Andrea V.
Fortuny, Joan
Kaye, James A.
Calingaert, Brian
Reynolds, Maria
Plana, Estel
McQuay, Lisa J.
Atsma, Willem Jan
Franks, Billy
de Vogel, Stefan
Perez-Gutthann, Susana
Arana, Alejandro
Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the United Kingdom
title Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the United Kingdom
title_full Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the United Kingdom
title_fullStr Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the United Kingdom
title_full_unstemmed Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the United Kingdom
title_short Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the United Kingdom
title_sort validation of cancer cases using primary care, cancer registry, and hospitalization data in the united kingdom
topic Validation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794229/
https://www.ncbi.nlm.nih.gov/pubmed/29135571
http://dx.doi.org/10.1097/EDE.0000000000000786
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