Evidence map›Paper›PMID 41072190›Full record

ArticleThe American journal of emergency medicine2026

Pre-stroke emergency department utilization in the Brain Attack Surveillance in Corpus Christi (BASIC) project.

Christopher J Becker, James F Burke, Chun Chieh Lin, Brian Stamm, William J Meurer, Joseph F Carrera, Regina Royan, Lauren Mamer, Melinda A Smith, Erin Case and 2 more

Abstract read
In one paragraph

Article in The American journal of emergency medicine, 2026. 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

12 authors.

Christopher J BeckerDepartment of Neurology, University of Michigan, Ann Arbor, MI, United States of America. Electronic address: cbec@med.umich.edu.
James F BurkeDepartment of Neurology, Ohio State University, Colombus, OH, United States of America.
Chun Chieh LinDepartment of Neurology, Ohio State University, Colombus, OH, United States of America.
Brian StammDepartment of Neurology, University of Michigan, Ann Arbor, MI, United States of America.
William J MeurerDepartment of Emergency Medicine, University of Michigan, Ann Arbor, MI(, United States of America).
Joseph F CarreraDepartment of Neurology, University of Michigan, Ann Arbor, MI, United States of America.
Regina RoyanDepartment of Emergency Medicine, University of Michigan, Ann Arbor, MI(, United States of America).
Lauren MamerDepartment of Emergency Medicine, University of Michigan, Ann Arbor, MI(, United States of America).
Melinda A SmithDepartment of Neurology, University of Michigan, Ann Arbor, MI, United States of America.
Erin CaseDepartment of Neurology, University of Michigan, Ann Arbor, MI, United States of America.
Lewis B MorgensternDepartment of Neurology, University of Michigan, Ann Arbor, MI, United States of America; Department of Epidemiology, University of Michigan, Ann Arbor, MI, United States of America.
Lynda D LisabethDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, United States of America.

Funding

STROKE SURVEILLANCE IN A BIETHNIC COMMUNITYR01NS038916 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LISABETH, LYNDA D, MORGENSTERN, LEWIS B · 1999 to 2023
$20.9M
Brain Attack Surveillance in Corpus Christi (BASIC) ProjectR37NS038916 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LYNDA D LISABETH, LEWIS B MORGENSTERN · 2024 to 2026
$3.7M
Improving Post-Acute Care to Reduce Ethnic Stroke DisparitiesR01NS107463 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LISABETH, LYNDA D, MORGENSTERN, LEWIS B · 2019 to 2023
$3.3M
NINDS NIH HHS R01 NS038916NINDS NIH HHS R01 NS107463NINDS NIH HHS R37 NS038916
6 · The paper itself

Abstract

backgroundPre-stroke ED visits may represent opportunities for stroke prevention. We evaluated the prevalence and predictors of ED visits in the 90-days preceding a stroke, and the frequency of visits for "high-risk" diagnoses known to be associated with short-term stroke risk, including neurologic symptoms, atrial fibrillation, falls, and hypertensive disorders.

methodsWithin an ongoing population-based stroke surveillance study in South Texas, we identified all physician-validated ischemic and hemorrhagic strokes from April 2003 to December 2020. Linked Medicare claims data were used to identify ED visits in the 90 days before each stroke. Logistic regression was used to evaluate clinical and sociodemographic factors associated with pre-stroke ED utilization. High risk diagnoses were identified by manual review.

resultsA total of 2498 validated stroke cases were matched to Medicare claims data. Patients were 57 % female and 47 % Mexican American with a mean age of 77 (SD 11). A total of 209 patients (8.4 %) had an ED visit in the 90-days before their stroke, including 102 (4.1 %) with multiple visits. Medicaid insurance (OR 1.54, 95 %CI 1.05-2.26) and diabetes (OR 1.73, 95 %CI 1.21-2.47) were associated with greater odds of a pre-stroke ED visit. Of 430 total ED visits, 87 (20.0 %) were for a high-risk diagnosis, including 70 (16.3 %) for a neurologic diagnosis, 12 (2.8 %) for a hypertensive disorder, and 5 (1.2 %) for atrial fibrillation.

conclusionsPre-stroke ED visits were common, particularly among patients with diabetes or Medicaid insurance, and were often associated with high-risk primary diagnoses, potentially representing opportunities for stroke prevention or early treatment.

Indexed as

Emergency Service, HospitalStrokeAgedAged, 80 and overAtrial FibrillationFemaleHumansMaleMedicaidMedicarePopulation SurveillanceRisk FactorsTexasUnited StatesEmergency departmentMissed diagnosisPreventionStroke

Identifiers

PMID41072190
PMCPMC12629354

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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.