Evidence map›Paper›PMID 42895744›Full record

ArticleJAMA network open2026

Timeliness of Emergency Care for Intracerebral Hemorrhage Compared With Acute Ischemic Stroke.

Regina Royan, Uchechukwu Ikeaba, Brooke Alhanti, Brian Stamm, Brian Mac Grory, Shyam Prabhakaran, Matthew B Maas, Gregg C Fonarow, Steven R Messe, Lauren E Mamer and 5 more

Abstract readComparative Study
In one paragraph

Article in JAMA network open, 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.

Regina RoyanDepartment of Emergency Medicine, University of Michigan, Ann Arbor.
Uchechukwu IkeabaDuke Clinical Research Institute, Duke, Durham, North Carolina.
Brooke AlhantiDuke Clinical Research Institute, Duke, Durham, North Carolina.
Brian StammDepartment of Emergency Medicine, University of Michigan, Ann Arbor.
Brian Mac GroryDepartment of Neurology, Duke, Durham, North Carolina.
Shyam PrabhakaranDepartment of Neurology, University of Chicago, Chicago, Illinois.
Matthew B MaasDepartment of Neurology, Northwestern University, Chicago, Illinois.
Gregg C FonarowDepartment of Cardiology, University of California at Los Angeles Medical Center.
Steven R MesseDepartment of Neurology, University of Pennsylvania, Philadelphia.
Lauren E MamerDepartment of Emergency Medicine, University of Michigan, Ann Arbor.
Joshua N GoldsteinDepartment of Emergency Medicine, Massachusetts General Hospital, Boston.
Jeffrey L SaverDepartment of Neurology, University of California at Los Angeles Medical Center.
Eric E SmithDepartment of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.
William J MeurerDepartment of Emergency Medicine, University of Michigan, Ann Arbor.
Kevin N ShethDepartment of Neurology and Neurosurgery, Center for Brain and Mind Health, Yale School of Medicine, New Haven, Connecticut.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Clinical data comparing time to presentation and stroke quality metrics for intracerebral hemorrhage (ICH) and acute ischemic stroke (AIS) are limited. Understanding these differences is essential to provide timely care to all stroke subtypes. Objective: To compare prehospital and emergency department (ED) process quality metrics between patients with ICH and AIS. Design, Setting, and Participants: Cohort study included patients with AIS and ICH admitted to Get With The Guidelines (GWTG)-Stroke participating hospitals from January 1, 2015, to June 30, 2024, who arrived by emergency medical services (EMS). Data were analyzed from 195 hospitals across the US. Main Outcomes and Measures: Prehospital-based and ED-based process metrics (eg, EMS prenotification, door to ED physician assessment time, door to initial brain imaging order) were assessed. Logistic and linear regression models were sequentially adjusted for patient demographics, medical history and presenting factors, and hospital characteristics. Temporal trends of prehospital care metrics were examined. Results: A total of 195 659 patients (median [IQR] age, 74.0 [63.0-83.0] years; 97 978 [50.1%] female; 31 464 with ICH and 164 195 with AIS) from 195 hospitals were included. The median (IQR) National Institutes of Health Stroke Scale (NIHSS) score was 14 (6-23) for ICH vs 6 (2-13) for AIS (absolute standardized difference, 0.694). ICH (vs AIS) was associated with higher odds of door-to-ED physician assessment of 10 or fewer minutes after adjusting for patient demographics (adjusted odds ratio [aOR], 1.08; 95% CI, 1.02-1.14). This association reversed after adding adjustment for medical history and presenting factors (including NIHSS) and hospital characteristics (aOR, 0.94; 95% CI, 0.89-0.99). This pattern was observed for door to initial brain imaging order of 20 or fewer minutes (demographic-adjusted: aOR, 1.09; 95% CI, 1.02-1.16; fully adjusted with medical history and hospital characteristics: aOR, 0.91; 95% CI, 0.85-0.97). Median last known well to arrival time increased by 32.5% for AIS (151 to 200 minutes; P < .001) and 34.3% for ICH (108 to 145 minutes; P < .001), while rates of EMS prenotification largely remained stable for both ICH and AIS. Conclusions and Relevance: In this cohort study of patients with acute stroke, patients with ICH arrived at the ED faster but were less likely to achieve care targets. In the context of emerging hyperacute ICH therapies and bundled care models, addressing these differences is essential to optimizing acute stroke outcomes.

Indexed as

Cerebral HemorrhageEmergency Medical ServicesIschemic StrokeTime-to-TreatmentAgedAged, 80 and overCohort StudiesEmergency Service, HospitalFemaleHumansMaleMiddle AgedTime FactorsTreatment DelayUnited States

Identifiers

PMID42895744
PMCPMC13681205

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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.