ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2017
Reducing Clinical Noise for Body Mass Index Measures Due to Unit and Transcription Errors in the Electronic Health Record.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
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- Assessment of multi-population polygenic risk scores for lipid traits in African Americans.PeerJ · 2023Article
- Associations between cardiometabolic disease severity, social determinants of health (SDoH), and poor COVID-19 outcomes.Obesity (Silver Spring, Md.) · 2022Article
- Inference-based correction of multi-site height and weight measurement data in the All of Us research program.Journal of the American Medical Informatics Association : JAMIA · 2022Article
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- Ambient Fine Particulate Matter Air Pollution and Risk of Weight Gain and Obesity in United States Veterans: An Observational Cohort Study.Environmental health perspectives · 2021Observational
- Association between triglycerides, known risk SNVs and conserved rare variation in SLC25A40 in a multi-ancestry cohort.BMC medical genomics · 2021Article
- Fueling Clinical and Translational Research in Appalachia: Informatics Platform Approach.JMIR medical informatics · 2020Article
- Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records.BMC medical genomics · 2020Article
- A Social Determinant of Health May Modify Genetic Associations for Blood Pressure: Evidence From a SNP by Education Interaction in an African American Population.Frontiers in genetics · 2019Article
- Using Electronic Health Records To Generate Phenotypes For Research.Current protocols in human genetics · 2019Article
- Local ancestry transitions modify snp-trait associations.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018Article
- Article
- Leveraging Epidemiologic and Clinical Collections for Genomic Studies of Complex Traits.Human heredity · 2015Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Body mass index (BMI) is an important outcome and covariate adjustment for many clinical association studies. Accurate assessment of BMI, therefore, is a critical part of many study designs. Electronic health records (EHRs) are a growing source of clinical data for research purposes, and have proven useful for identifying and replicating genetic associations. EHR-based data collected for clinical and billing purposes have several unique properties, including a high degree of heterogeneity or "clinical noise." In this work, we propose a new method for reducing the problems of transcription and recording error for height and weight and apply these methods to a subset of the Vanderbilt University Medical Center biorepository known as EAGLE BioVU (n=15,863). After processing, we show that the distribution of BMI from EAGLE BioVU closely matches population-based estimates from the National Health and Nutrition Examination Surveys (NHANES), and that our approach retains far more data points than traditional outlier detection methods.
Identifiers
28815116PMC5543370What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.