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Disease associations depend on visit type: results from a visit-wide association study

INTRODUCTION: Widespread adoption of Electronic Health Records (EHR) increased the number of reported disease association studies, or Phenome-Wide Association Studies (PheWAS). Traditional PheWAS studies ignore visit type (i.e., department/service conducting the visit). In this study, we investigate...

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Autores principales: Boland, Mary Regina, Alur-Gupta, Snigdha, Levine, Lisa, Gabriel, Peter, Gonzalez-Hernandez, Graciela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625053/
https://www.ncbi.nlm.nih.gov/pubmed/31338127
http://dx.doi.org/10.1186/s13040-019-0203-2
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author Boland, Mary Regina
Alur-Gupta, Snigdha
Levine, Lisa
Gabriel, Peter
Gonzalez-Hernandez, Graciela
author_facet Boland, Mary Regina
Alur-Gupta, Snigdha
Levine, Lisa
Gabriel, Peter
Gonzalez-Hernandez, Graciela
author_sort Boland, Mary Regina
collection PubMed
description INTRODUCTION: Widespread adoption of Electronic Health Records (EHR) increased the number of reported disease association studies, or Phenome-Wide Association Studies (PheWAS). Traditional PheWAS studies ignore visit type (i.e., department/service conducting the visit). In this study, we investigate the role of visit type on disease association results in the first Visit-Wide Association Study or ‘VisitWAS’. RESULTS: We studied this visit type effect on association results using EHR data from the University of Pennsylvania. Penn EHR data comes from 1,048 different departments and clinics. We analyzed differences between cancer and obstetrics/gynecologist (Ob/Gyn) visits. Some findings were expected (i.e., increase of neoplasm diagnoses among cancer visits), but others were surprising, including an increase in infectious disease conditions among those visiting the Ob/Gyn. CONCLUSION: We conclude that assessing visit type is important for EHR studies because different medical centers have different visit type distributions. To increase reproducibility among EHR data mining algorithms, we recommend that researchers report visit type in studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13040-019-0203-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-66250532019-07-23 Disease associations depend on visit type: results from a visit-wide association study Boland, Mary Regina Alur-Gupta, Snigdha Levine, Lisa Gabriel, Peter Gonzalez-Hernandez, Graciela BioData Min Short Report INTRODUCTION: Widespread adoption of Electronic Health Records (EHR) increased the number of reported disease association studies, or Phenome-Wide Association Studies (PheWAS). Traditional PheWAS studies ignore visit type (i.e., department/service conducting the visit). In this study, we investigate the role of visit type on disease association results in the first Visit-Wide Association Study or ‘VisitWAS’. RESULTS: We studied this visit type effect on association results using EHR data from the University of Pennsylvania. Penn EHR data comes from 1,048 different departments and clinics. We analyzed differences between cancer and obstetrics/gynecologist (Ob/Gyn) visits. Some findings were expected (i.e., increase of neoplasm diagnoses among cancer visits), but others were surprising, including an increase in infectious disease conditions among those visiting the Ob/Gyn. CONCLUSION: We conclude that assessing visit type is important for EHR studies because different medical centers have different visit type distributions. To increase reproducibility among EHR data mining algorithms, we recommend that researchers report visit type in studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13040-019-0203-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-11 /pmc/articles/PMC6625053/ /pubmed/31338127 http://dx.doi.org/10.1186/s13040-019-0203-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Short Report
Boland, Mary Regina
Alur-Gupta, Snigdha
Levine, Lisa
Gabriel, Peter
Gonzalez-Hernandez, Graciela
Disease associations depend on visit type: results from a visit-wide association study
title Disease associations depend on visit type: results from a visit-wide association study
title_full Disease associations depend on visit type: results from a visit-wide association study
title_fullStr Disease associations depend on visit type: results from a visit-wide association study
title_full_unstemmed Disease associations depend on visit type: results from a visit-wide association study
title_short Disease associations depend on visit type: results from a visit-wide association study
title_sort disease associations depend on visit type: results from a visit-wide association study
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625053/
https://www.ncbi.nlm.nih.gov/pubmed/31338127
http://dx.doi.org/10.1186/s13040-019-0203-2
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