Evidence map›Paper›PMID 42507792›Full record

ReviewStroke2026

Advancing Pediatric Stroke Readiness: Engaging Healthcare Systems to Optimize Care Delivery.

Rachel Pearson, Stuart Fraser, Lisa Pabst, Maria M Galardi, Kristin Guilliams, Brian M Faux, Sarah Lee, Kriti Bhayana, Robin Novakovic-White, Carl H Schultz and 5 more

Abstract readReview
In one paragraph

Review in Stroke, 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

15 authors.

Rachel PearsonDepartment of Pediatrics (R.P.), University of California Irvine.ORCID 0000-0002-9418-8184
Stuart FraserDivision of Child and Adolescent Neurology, Department of Pediatrics, University of Texas Health Science Center Houston (S.F.).ORCID 0000-0003-4390-0490
Lisa PabstDivision of Pediatric Neurology, Department of Pediatrics, University of Utah, Salt Lake City (L.P., M.M.G.).
Maria M GalardiDivision of Pediatric Neurology, Department of Pediatrics, University of Utah, Salt Lake City (L.P., M.M.G.).ORCID 0000-0001-8006-0254
Kristin GuilliamsDivision of Pediatric Neurology, Department of Neurology, Washington University in St. Louis, MO (K.G.).ORCID 0000-0002-5518-3778
Brian M FauxDivision of Child Neurology, Department of Pediatrics, University of Texas San Antonio (B.M.F.).ORCID 0000-0003-2036-5800
Sarah LeeDivision of Child Neurology, Department of Neurology & Neurological Sciences, Stanford University School of Medicine, CA (S.L.).ORCID 0000-0002-8821-6636
Kriti BhayanaDepartment of Child Neurology, Center for Pediatric Neurosciences, Cleveland Clinic Neurological Institute, Cleveland Clinic, OH (K.B.).ORCID 0000-0003-1569-3842
Robin Novakovic-WhiteDepartments of Radiology and Neurology, University of Texas Southwestern Medical Center, Dallas (R.N.-W.).ORCID 0000-0003-3220-3323
Carl H SchultzDepartment of Emergency Medicine (C.H.S.), University of California Irvine.ORCID 0000-0002-7221-7204
Joshua BobkoOrange County Fire Authority, Irvine, CA (J.B.).
Heather FullertonDepartments of Neurology and Pediatrics, University of California San Francisco (H.F., C.K.F.).ORCID 0000-0002-4828-1687
Lori C Jordan *Division of Pediatric Neurology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN (L.C.J.).ORCID 0000-0001-7240-0415
Christine K Fox *Departments of Neurology and Pediatrics, University of California San Francisco (H.F., C.K.F.).ORCID 0000-0001-6934-3624
with the Texas Governor’s EMS and Trauma Advisory Council (GETAC) Pediatric Stroke Task Force

Funding

Child Neurologist Career Development Program (CNCDP)K12NS098482 · NINDS · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI SCHLAGGAR, BRADLEY L · 2016 to 2025
$26.2M
THE UNIVERSITY OF TEXAS HOUSTON STROKE TRAINING PROGRAMT32NS007412 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI SAVITZ, SEAN I · 1998 to 2023
$4.6M
NINDS NIH HHS K12 NS098482NINDS NIH HHS T32 NS007412
6 · The paper itself

Abstract

Stroke is less common in children than in adults, yet equally devastating. Nevertheless, children with symptoms of acute stroke commonly present to community hospitals or adult stroke centers where experience and institutional protocols for pediatric stroke diagnosis and management may be limited. Despite advances in pediatric stroke awareness and the implementation of stroke pathways in many children's hospitals, significant gaps remain in the timely recognition, diagnosis, and management of pediatric stroke. A key contributing factor is the lack of system-level infrastructure to guide pediatric acute stroke care. This special report examines the challenges and barriers to achieving Pediatric Stroke Readiness at a national level in the United States and presents 5 engagement case studies highlighting efforts to establish processes and networks for pediatric stroke management across diverse care settings. The cases emphasize the development and implementation of systems of care in which pediatric stroke centers collaborate with first responders, community hospitals, and adult stroke centers to improve the delivery of acute stroke care for children. The strategies underscore different engagement approaches and identify opportunities for future research and quality improvement. These case studies also illustrate educational materials and clinical pathways that may serve as resources for others pursuing similar initiatives.

Indexed as

Delivery of Health CareStrokeChildHumansUnited Stateschildemergency medical serviceshospitals, communitystrokeUnited States

Identifiers

PMID42507792
PMCPMC13410954

What OpenQuestion holds

Textmetadata
LicenceTDM
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.