Evidence map›Paper›PMID 40109952›Full record

ArticleJournal of diabetes research2025

Diabetes Screening in the Emergency Department: Development of a Predictive Model for Elevated Hemoglobin A1c.

Mary H Smart, Janet Y Lin, Brian T Layden, Yuval Eisenberg, A Simon Pickard, Lisa K Sharp, Kirstie K Danielson, Angela Kong

Abstract read
In one paragraph

Article in Journal of diabetes research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mary H SmartDepartment of Pharmacy Systems, Outcomes and Policy, College of Pharmacy, The University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-7303-6579
Janet Y LinDepartment of Emergency Medicine, College of Medicine, The University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-4347-5060
Brian T LaydenDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, The University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-2176-5654
Yuval EisenbergDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, The University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-4274-7431
A Simon PickardDepartment of Pharmacy Systems, Outcomes and Policy, College of Pharmacy, The University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-5645-7091
Lisa K SharpDepartment of Biobehavioral Nursing Science, College of Nursing, The University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-7809-9042
Kirstie K DanielsonDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, The University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-9077-2092
Angela KongDepartment of Pharmacy Systems, Outcomes and Policy, College of Pharmacy, The University of Illinois Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-6914-5724

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MILDA Renne SAUNDERS · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Diabetes MellitusEmergency Service, HospitalGlycated HemoglobinMass ScreeningAdultAgedElectronic Health RecordsFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk FactorsGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID40109952
PMCPMC11922610

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.