Evidence map›Paper›PMID 34125039›Full record

ArticleThe western journal of emergency medicine2021

Diabetes Patient Surveillance in the Emergency Department: Proof of Concept and Opportunities.

M Gabriela Sava, Ronald G Pirrallo, Brian C Helsel, Jingyuan Tian, Patricia Carbajales-Dale, Kuang-Ching Wang, John Bruch, Ronald W Gimbel

Open access · goldAbstract read
In one paragraph

Article in The western journal of emergency medicine, 2021. 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
0.1field-weighted citation impact, top 51% of its field
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, 2 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

M Gabriela SavaClemson University, Department of Management, Clemson, South Carolina.
Ronald G PirralloUniversity of South Carolina School of Medicine Greenville, Department of Emergency Medicine, Greenville, South Carolina.
Brian C HelselUniversity of Kansas Medical Center, Department of Internal Medicine, Kansas City, Kansas.
Jingyuan TianClemson University, Department of Management, Clemson, South Carolina.
Patricia Carbajales-DaleClemson University, Center for Geospatial Technologies, Clemson, South Carolina.
Kuang-Ching WangClemson University, Department of Electrical and Computer Engineering, Clemson, South Carolina.
John BruchUniversity of South Carolina School of Medicine Greenville, Department of Internal Medicine, Greenville, South Carolina.
Ronald W GimbelClemson University, Department of Public Health Sciences, Clemson, South Carolina.
University of Kansas Medical Center · USClemson University · USUniversity of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe purpose of this study was to characterize the at-risk diabetes and prediabetes patient population visiting emergency department (ED) and urgent care (UC) centers in upstate South Carolina.

methodsWe conducted this retrospective study at the largest non-profit healthcare system in South Carolina, using electronic health record (EHR) data of patients who had an ED or UC visit between February 2, 2016-July 31, 2018. Key variables including International Classification of Diseases, 10th Revision codes, laboratory test results, family history, medication, and demographic characteristics were used to classify the patients as healthy, having prediabetes, having diabetes, being at-risk for prediabetes, or being at-risk for diabetes. Patients who were known to have diabetes were classified further as having controlled diabetes, management challenged, or uncontrolled diabetes. Population analysis was stratified by the patient's annual number of ED/UC visits.

resultsThe risk stratification revealed 4.58% unique patients with unrecognized diabetes and 10.34% of the known patients with diabetes considered to be suboptimally controlled. Patients identified as diabetes management challenged had more ED/UC visits. Of note, 33.95% of the patients had unrecognized prediabetes/diabetes risk factors identified during their ED/UC with 87.95% having some form of healthcare insurance.

conclusionThis study supports the idea that a single ED/UC unscheduled visit can identify individuals with unrecognized diabetes and an at-risk prediabetes population using EHR data. A patient's ED/UC visit, regardless of their primary reason for seeking care, may be an opportunity to provide early identification and diabetes disease management enrollment to augment the medical care of our community.

Indexed as

AdultAgedAged, 80 and overDecision Support TechniquesDiabetes MellitusElectronic Health RecordsEmergency Service, HospitalFemaleHumansMaleMiddle AgedProof of Concept StudyRetrospective StudiesRisk AssessmentYoung Adult

Identifiers

PMID34125039
PMCPMC8202983
OpenAlexW3156991902

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.