Evidence map›Paper›PMID 38223535›Full record

ArticleTranslational medicine communications2023

Accessing and utilizing clinical and genomic data from an electronic health record data warehouse.

Cosby G Arnold, Brandon Sonn, Frederick J Meyers, Alexis Vest, Richie Puls, Estelle Zirkler, Michelle Edelmann, Ian M Brooks, Andrew A Monte

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational medicine communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Cosby G ArnoldDepartment of Emergency Medicine, School of Medicine, University of California, Davis, 4150 V Street #2100, Sacramento, CA 95817, USA.ORCID 0000-0002-8109-0460
Brandon SonnDepartment of Emergency Medicine, University of Colorado Denver-Anschutz Medical Center, University of Colorado School of Medicine, Mail Stop B-215, 12401 East 17th Avenue, Aurora, CO 80045, USA.
Frederick J MeyersDepartment of Internal Medicine, University of California, Davis, School of Medicine, 4150 V Street #3100, Sacramento, CA 95817, USA.
Alexis VestDepartment of Emergency Medicine, University of Colorado Denver-Anschutz Medical Center, University of Colorado School of Medicine, Mail Stop B-215, 12401 East 17th Avenue, Aurora, CO 80045, USA.
Richie PulsDepartment of Emergency Medicine, University of Colorado Denver-Anschutz Medical Center, University of Colorado School of Medicine, Mail Stop B-215, 12401 East 17th Avenue, Aurora, CO 80045, USA.
Estelle ZirklerDepartment of Biomedical Informatics, University of Colorado School of Medicine, Anschutz Health Sciences Building, 1890 N. Revere Court, Mailstop F600, Aurora, CO 80045, USA.
Michelle EdelmannDepartment of Biomedical Informatics, University of Colorado School of Medicine, Anschutz Health Sciences Building, 1890 N. Revere Court, Mailstop F600, Aurora, CO 80045, USA.
Ian M BrooksDepartment of Biomedical Informatics, University of Colorado School of Medicine, Anschutz Health Sciences Building, 1890 N. Revere Court, Mailstop F600, Aurora, CO 80045, USA.
Andrew A MonteDepartment of Emergency Medicine, School of Medicine, University of California, Davis, 4150 V Street #2100, Sacramento, CA 95817, USA.

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
PERSONALIZING EMERGENCY/ACUTE THERAPEUTICS UTILIZING SYSTEMS BIOLOGY (PEGASUS)R35GM124939 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI MONTE, ANDREW ALBERT · 2017 to 2021
$2.1M
A COVID-19 Pulmonary Outcome Clinical Prediction Rule Using EpigeneticsF32HL160123 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI ARNOLD, COSBY · 2021 to 2022
$157k
NCATS NIH HHS UL1 TR001082NHLBI NIH HHS F32 HL160123NIGMS NIH HHS R35 GM124939
6 · The paper itself

Abstract

Electronic health records (EHRs) and linked biobanks have tremendous potential to advance biomedical research and ultimately improve the health of future generations. Repurposing EHR data for research is not without challenges, however. In this paper, we describe the processes and considerations necessary to successfully access and utilize a data warehouse for research. Although imperfect, data warehouses are a powerful tool for harnessing a large amount of data to phenotype disease. They will have increasing relevance and applications in clinical research with growing sophistication in processes for EHR data abstraction, biobank integration, and cross-institutional linkage.

Indexed as

Big dataData warehouseElectronic health recordGenomics

Identifiers

PMID38223535
PMCPMC10786622

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.