Evidence map›Paper›PMID 38787926›Full record

ArticleStroke2024

Mapping the Ecological Terrain of Stroke Prehospital Delay: A Nationwide Registry Study.

Amar Dhand, Mathew J Reeves, Yi Mu, Bernard A Rosner, Zachary R Rothfeld-Wehrwein, Amber Nieves, Vrushali A Dhongade, Molly Jarman, Regan W Bergmark, Robert S Semco and 8 more

Registry-linked trialAbstract read
In one paragraph

Article in Stroke, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07207330 (Stroke Code), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT07207330 recruitingnot on this mapstarted 2025, after this paper: background citation

Stroke Code: an Observational Cross-sectional Trial in Hospitals From Villavicencio, Colombia

TypeobservationalSponsorHospital Departamental de VillavicencioRan2025 to 2027Enrolled100ConditionsStroke, Ischemic Stroke
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Precipitation, EMS use, and time to presentation of Acute Ischemic stroke in the get with the guidelines-stroke registry.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025
    Article
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

18 authors.

Amar DhandHarvard Medical School Boston, MA (A.D., Z.R.R.-W., V.A.D., M.J., R.W.B., R.S.S., L.H.S.).ORCID 0000-0001-6470-7548
Mathew J ReevesDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing (M.J.R.).ORCID 0000-0002-8019-6343
Yi MuDepartment of Biostatistics, Channing Laboratory, Harvard T.H. Chan School of Public Health, Boston, MA (Y.M., B.A.R.).ORCID 0000-0001-5660-440X
Bernard A RosnerDepartment of Biostatistics, Channing Laboratory, Harvard T.H. Chan School of Public Health, Boston, MA (Y.M., B.A.R.).ORCID 0000-0001-6907-0056
Zachary R Rothfeld-WehrweinHarvard Medical School Boston, MA (A.D., Z.R.R.-W., V.A.D., M.J., R.W.B., R.S.S., L.H.S.).ORCID 0000-0002-5533-1830
Amber NievesDartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (A.N.).
Vrushali A DhongadeHarvard Medical School Boston, MA (A.D., Z.R.R.-W., V.A.D., M.J., R.W.B., R.S.S., L.H.S.).ORCID 0009-0004-2210-3040
Molly JarmanHarvard Medical School Boston, MA (A.D., Z.R.R.-W., V.A.D., M.J., R.W.B., R.S.S., L.H.S.).ORCID 0000-0001-7117-5869
Regan W BergmarkHarvard Medical School Boston, MA (A.D., Z.R.R.-W., V.A.D., M.J., R.W.B., R.S.S., L.H.S.).ORCID 0000-0003-3249-4343
Robert S SemcoHarvard Medical School Boston, MA (A.D., Z.R.R.-W., V.A.D., M.J., R.W.B., R.S.S., L.H.S.).ORCID 0000-0002-4696-3123
Jeremy AderDepartment of Neurology, Columbia University Irving Medical Center, New York, NY (J.A.).ORCID 0009-0001-6708-3766
Brandon D L MarshallDepartment of Epidemiology, Brown University School of Public Health, Providence, RI (B.D.L.M., W.C.G.).ORCID 0000-0002-0134-7052
William C GoedelDepartment of Epidemiology, Brown University School of Public Health, Providence, RI (B.D.L.M., W.C.G.).ORCID 0000-0002-2869-1048
Gregg C FonarowDepartment of Cardiology (G.C.F.), University of California, Los Angeles David Geffen School of Medicine.ORCID 0000-0002-3192-8093
Eric E SmithDepartment of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, AB, Canada (E.E.S.).ORCID 0000-0003-3956-1668
Jeffrey L SaverDepartment of Neurology (J.L.S.), University of California, Los Angeles David Geffen School of Medicine.ORCID 0000-0001-9141-2251
Lee H SchwammHarvard Medical School Boston, MA (A.D., Z.R.R.-W., V.A.D., M.J., R.W.B., R.S.S., L.H.S.).ORCID 0000-0003-0592-9145
Kevin N ShethDepartment of Neurology & Neurosurgery, Yale School of Medicine, New Haven, CT (K.N.S.).ORCID 0000-0003-2003-5473

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Social networks and risk of delayed arrival to the hospital during strokeR01MD016178 · NIMHD · BRIGHAM AND WOMEN'S HOSPITAL · PI Amar Dhand, Kevin Navin Sheth · 2022 to 2026
$3.7M
NCATS NIH HHS UL1 TR001863NIMHD NIH HHS R01 MD016178
6 · The paper itself

Abstract

backgroundDelays in hospital presentation limit access to acute stroke treatments. While prior research has focused on patient-level factors, broader ecological and social determinants have not been well studied. We aimed to create a geospatial map of prehospital delay and examine the role of community-level social vulnerability.

methodsWe studied patients with ischemic stroke who arrived by emergency medical services in 2015 to 2017 from the American Heart Association Get With The Guidelines-Stroke registry. The primary outcome was time to hospital arrival after stroke (in minutes), beginning at last known well in most cases. Using Geographic Information System mapping, we displayed the geography of delay. We then used Cox proportional hazard models to study the relationship between community-level factors and arrival time (adjusted hazard ratios [aHR] <1.0 indicate delay). The primary exposure was the social vulnerability index (SVI), a metric of social vulnerability for every ZIP Code Tabulation Area ranging from 0.0 to 1.0.

resultsOf 750 336 patients, 149 145 met inclusion criteria. The mean age was 73 years, and 51% were female. The median time to hospital arrival was 140 minutes (Q1: 60 minutes, Q3: 458 minutes). The geospatial map revealed that many zones of delay overlapped with socially vulnerable areas (https://harvard-cga.maps.arcgis.com/apps/webappviewer/index.html?id=08f6e885c71b457f83cefc71013bcaa7). Cox models (aHR, 95% CI) confirmed that higher SVI, including quartiles 3 (aHR, 0.96 [95% CI, 0.93-0.98]) and 4 (aHR, 0.93 [95% CI, 0.91-0.95]), was associated with delay. Patients from SVI quartile 4 neighborhoods arrived 15.6 minutes [15-16.2] slower than patients from SVI quartile 1. Specific SVI themes associated with delay were a community's socioeconomic status (aHR, 0.80 [95% CI, 0.74-0.85]) and housing type and transportation (aHR, 0.89 [95% CI, 0.84-0.94]).

conclusionsThis map of acute stroke presentation times shows areas with a high incidence of delay. Increased social vulnerability characterizes these areas. Such places should be systematically targeted to improve population-level stroke presentation times.

Indexed as

HospitalizationIschemic StrokeRegistriesTime-to-TreatmentAgedEmergency Medical ServicesEvidence GapsFemaleGeographic MappingHumansMaleMiddle AgedProportional Hazards ModelsSpatio-Temporal AnalysisUnited Statesgeographic information systemsischemic strokeproportional hazards modelssocial determinants of healthstroketime-to-treatment

Identifiers

PMID38787926
PMCPMC11299104

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Registered trials

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.