Evidence map›Paper›PMID 39697436›Full record

ArticleFrontiers in neurology2024

Academic and Community Hospitals differ in stroke subtype classification and cardiac monitoring: the DiVERT multi-center cohort study.

David Z Rose, Ruchir A Shah, Josh Snavely, Marla Hairston, Stephen Adams, Paul D Ziegler, Sarah C Rosemas, Michael Chandler, Roberto Carta, Karah B Neisen and 2 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. 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. Observational
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.

David Z RoseDepartment of Neurology, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
Ruchir A ShahCHI Memorial Neuroscience Institute, Common Spirit Health System, Chattanooga, TN, United States.
Josh SnavelyFranciscan Neurology Associates, Virginia Mason Franciscan Health, Tacoma, WA, United States.
Marla HairstonDepartment of Neurology, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
Stephen AdamsCHI Memorial Neuroscience Institute, Common Spirit Health System, Chattanooga, TN, United States.
Paul D ZieglerMedtronic, Inc., Cardiac Rhythm Management, Mounds View, MN, United States.
Sarah C RosemasMedtronic, Inc., Cardiac Rhythm Management, Mounds View, MN, United States.
Michael ChandlerMedtronic, Inc., Cardiac Rhythm Management, Mounds View, MN, United States.
Roberto CartaMedtronic, Inc., Cardiac Rhythm Management, Mounds View, MN, United States.
Karah B NeisenMedtronic, Inc., Cardiac Rhythm Management, Mounds View, MN, United States.
Noreli C FrancoMedtronic, Inc., Cardiac Rhythm Management, Mounds View, MN, United States.
Thomas G DevlinCHI Memorial Neuroscience Institute, Common Spirit Health System, Chattanooga, TN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiac monitoring strategies to detect occult atrial fibrillation (AF) post-stroke differ among healthcare institutions. This may be related to discrepancies in stroke subtype classification/adjudication, and/or consultation of cardiology specialists at Community Hospitals (CoH) and Academic Centers (AcC). Identifying the degree of heterogeneity may encourage development of guideline-directed monitoring protocols, result in higher AF detection rates and treatments, and fewer strokes. Methods: The DiVERT (SeconDary Stroke PreVEntion ThRough Pathway ManagemenT) study was designed to characterize post-stroke cardiac monitoring practices in a hospital setting. Care pathways were assessed with in-person stakeholder interviews; patient-level data were reviewed using electronic medical records. Results: DiVERT identified 2,475 patients with diagnoses of cryptogenic (83.6% vs. 33.1%, Conclusion: Significant heterogeneity in cardiac monitoring post-stroke exists: CoH reported 2.5-times more cryptogenic stroke than AcC yet ordered 10-times fewer short/long-term cardiac monitors to look for AF. Significant differences in patient demographics among institutions may account for this discrepancy. Regardless, efforts to reduce heterogeneity are warranted to improve AF detection and treatment and prevent recurrent stroke.

Indexed as

acute ischemic strokeanticoagulationatrial fibrillationcardiac rhythm monitoringcare pathway

Identifiers

PMID39697436
PMCPMC11652527

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.