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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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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. |
format | Online Article Text |
id | pubmed-6625053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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