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Parkinson’s disease case ascertainment in prospective cohort studies through combining multiple health information resources

Epidemiological evidence from prospective cohort studies on risk factors of Parkinson’s disease (PD) is limited as case ascertainment is challenging due to a lack of registries and the disease course of PD. The objective of this study was to create a case ascertainment method for PD within two prosp...

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Autores principales: Reedijk, Marije, Huss, Anke, Verheij, Robert A., Peeters, Petra H., Vermeulen, Roel C. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329061/
https://www.ncbi.nlm.nih.gov/pubmed/32609766
http://dx.doi.org/10.1371/journal.pone.0234845
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author Reedijk, Marije
Huss, Anke
Verheij, Robert A.
Peeters, Petra H.
Vermeulen, Roel C. H.
author_facet Reedijk, Marije
Huss, Anke
Verheij, Robert A.
Peeters, Petra H.
Vermeulen, Roel C. H.
author_sort Reedijk, Marije
collection PubMed
description Epidemiological evidence from prospective cohort studies on risk factors of Parkinson’s disease (PD) is limited as case ascertainment is challenging due to a lack of registries and the disease course of PD. The objective of this study was to create a case ascertainment method for PD within two prospective Dutch cohorts based on multiple sources of PD information. This method was validated using clinical records from the general practitioners (GPs). Face validity of the case ascertainment was tested for three etiological factors (smoking, sex and family history of PD). In total 54825 participants were included from the cohorts AMIGO and EPIC-NL. Sources of PD information included self-reported PD, self-reported PD medication, a 9 item screening questionnaire (Tanner), electronical medical records, hospital discharge data and mortality records. Based on these sources we developed a likelihood score with 4 categories (no PD, unlikely PD, possible PD, likely PD). For the different sources of PD information and for the likelihood score we present the agreement with GP-validated cases. Risk of PD for established factors was studied by logistic regression as exact diagnose dates were not always available. Based on the algorithm, we assigned 346 participants to the likely PD category. GP validation confirmed 67% of these participants in EPIC-NL, but only 12% in AMIGO. PD was confirmed in only 3% of the participants with a possible PD classification. PD case ascertainment by mortality records (91%), EMR ICPC (82%) and self-reported information (62–69%) had the highest confirmation rates. The Tanner PD screening questionnaire had a lower agreement (18%). Risk estimates for smoking, family history and sex using all likely PD cases were comparable to the literature for EPIC-NL, but not for smoking in AMIGO. Using multiple sources of PD evidence in cohorts remains important but challenging as performance of sources varied in validity.
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spelling pubmed-73290612020-07-10 Parkinson’s disease case ascertainment in prospective cohort studies through combining multiple health information resources Reedijk, Marije Huss, Anke Verheij, Robert A. Peeters, Petra H. Vermeulen, Roel C. H. PLoS One Research Article Epidemiological evidence from prospective cohort studies on risk factors of Parkinson’s disease (PD) is limited as case ascertainment is challenging due to a lack of registries and the disease course of PD. The objective of this study was to create a case ascertainment method for PD within two prospective Dutch cohorts based on multiple sources of PD information. This method was validated using clinical records from the general practitioners (GPs). Face validity of the case ascertainment was tested for three etiological factors (smoking, sex and family history of PD). In total 54825 participants were included from the cohorts AMIGO and EPIC-NL. Sources of PD information included self-reported PD, self-reported PD medication, a 9 item screening questionnaire (Tanner), electronical medical records, hospital discharge data and mortality records. Based on these sources we developed a likelihood score with 4 categories (no PD, unlikely PD, possible PD, likely PD). For the different sources of PD information and for the likelihood score we present the agreement with GP-validated cases. Risk of PD for established factors was studied by logistic regression as exact diagnose dates were not always available. Based on the algorithm, we assigned 346 participants to the likely PD category. GP validation confirmed 67% of these participants in EPIC-NL, but only 12% in AMIGO. PD was confirmed in only 3% of the participants with a possible PD classification. PD case ascertainment by mortality records (91%), EMR ICPC (82%) and self-reported information (62–69%) had the highest confirmation rates. The Tanner PD screening questionnaire had a lower agreement (18%). Risk estimates for smoking, family history and sex using all likely PD cases were comparable to the literature for EPIC-NL, but not for smoking in AMIGO. Using multiple sources of PD evidence in cohorts remains important but challenging as performance of sources varied in validity. Public Library of Science 2020-07-01 /pmc/articles/PMC7329061/ /pubmed/32609766 http://dx.doi.org/10.1371/journal.pone.0234845 Text en © 2020 Reedijk et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Reedijk, Marije
Huss, Anke
Verheij, Robert A.
Peeters, Petra H.
Vermeulen, Roel C. H.
Parkinson’s disease case ascertainment in prospective cohort studies through combining multiple health information resources
title Parkinson’s disease case ascertainment in prospective cohort studies through combining multiple health information resources
title_full Parkinson’s disease case ascertainment in prospective cohort studies through combining multiple health information resources
title_fullStr Parkinson’s disease case ascertainment in prospective cohort studies through combining multiple health information resources
title_full_unstemmed Parkinson’s disease case ascertainment in prospective cohort studies through combining multiple health information resources
title_short Parkinson’s disease case ascertainment in prospective cohort studies through combining multiple health information resources
title_sort parkinson’s disease case ascertainment in prospective cohort studies through combining multiple health information resources
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329061/
https://www.ncbi.nlm.nih.gov/pubmed/32609766
http://dx.doi.org/10.1371/journal.pone.0234845
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