Evidence map›Paper›PMID 35936991›Full record

ArticleJAMIA open2022

ReviewR: a light-weight and extensible tool for manual review of clinical records.

David A Mayer, Luke V Rasmussen, Christopher D Roark, Michael G Kahn, Lisa M Schilling, Laura K Wiley

Abstract read
In one paragraph

Article in JAMIA open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. A Query Engine for Self-controlled Case Series, with an application to COVID-19 EHR data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    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

6 authors.

David A MayerDepartment of Biomedical Informatics, Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Luke V RasmussenDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-4497-8049
Christopher D RoarkDepartment of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Michael G KahnDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Lisa M SchillingDivision of General Internal Medicine, Department of Medicine, Data Science to Patient Value Program, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Laura K WileyDepartment of Biomedical Informatics, Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0001-6681-9754

Funding

Clinical Evidence Generation from Electronic Health Records for Precision MedicineK01LM013088 · NLM · UNIVERSITY OF COLORADO DENVER · PI WILEY, LAURA KATHERINE · 2019 to 2021
$533k
NLM NIH HHS K01 LM013088
6 · The paper itself

Abstract

Objectives: Manual record review is a crucial step for electronic health record (EHR)-based research, but it has poor workflows and is error prone. We sought to build a tool that provides a unified environment for data review and chart abstraction data entry. Materials and Methods: ReviewR is an open-source R Shiny application that can be deployed on a single machine or made available to multiple users. It supports multiple data models and database systems, and integrates with the REDCap API for storing abstraction results. Results: We describe 2 real-world uses and extensions of ReviewR. Since its release in April 2021 as a package on CRAN it has been downloaded 2204 times. Discussion and Conclusion: ReviewR provides an easily accessible review interface for clinical data warehouses. Its modular, extensible, and open source nature afford future expansion by other researchers.

Indexed as

data warehousingelectronic health recordsobservational studiessoftware

Identifiers

PMID35936991
PMCPMC9350014

What OpenQuestion holds

Textmetadata
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.