Evidence map›Paper›PMID 41584968›Full record

ArticleStroke (Hoboken, N.J.)2023

Assessing Disparities in Access to Advanced Stroke Care in 4 Northeastern States Using the Social Vulnerability Index.

Derek L Isenberg, Raluca Isenberg, Kevin A Henry, Chadd K Kraus, Daniel Ackerman, Adam Sigal, Joseph Herres, Ethan S Brandler, Alexander Kuc, Jason T Nomura and 2 more

Abstract read
In one paragraph

Article in Stroke (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Derek L IsenbergLewis Katz School of Medicine at Temple University Philadelphia PA.
Raluca IsenbergCooper University Hospital Camden NJ.
Kevin A HenryTemple University Philadelphia PA.
Chadd K KrausGeisinger Danville PA.
Daniel AckermanSt. Luke's Health System Bethlehem United States PA.
Adam SigalReading Hospital West Reading PA.
Joseph HerresEinstein Health System Philadelphia PA.
Ethan S BrandlerState University of New York Stony Brook NY.
Alexander KucCooper University Hospital Camden NJ.
Jason T NomuraChristiana Care Newark DE.
Derek R CooneyState University of New York-Upstate Syracuse NY.
Nina T GentileLewis Katz School of Medicine at Temple University Philadelphia PA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Access to endovascular stroke centers (ESCs) is crucial for patients to receive optimal care for large-vessel occlusion strokes. Disparities in stroke care are well documented, including differences in patients who receive intravenous thrombolysis and endovascular therapy. Here, we describe racial, ethnic, sex, and social disparities in access to ESCs using the Social Vulnerability Index (SVI), a composite measure of a community's health. Methods: This is a population-based study of 4 Northeastern states. We geocoded all ESCs in New York, New Jersey, Pennsylvania, and Delaware and calculated the distance from the centroid of each census tract to the nearest ESC. We then used the US Centers for Disease Control's Social Vulnerability Index and its 4 subcomponents to calculate the health of that census tract. Results are presented as mean drive times by quartile of SVI (quartile 1=least vulnerable, quartile 4=most vulnerable) and the mean SVI dichotomized to census tracts located less than and greater than 60 minutes to the nearest ESC. Results: A total of 42 000 000 people and 10 000 census tracts were included in our data. There were no significant differences in the mean SVI for census with drive times of <60 minutes versus >60 minutes to the nearest ESC. However, there were significant differences in 2 subcomponents of the SVI: Minority Status & Language and Household Composition & Disability. In the Minority Status subcomponent of the SVI, those in the most vulnerable census tracts (quartile 4) were located closest to ESCs compared with the least vulnerable census tracts (quartile 1), while for the Household Composition subcomponent, the most vulnerable census tracts were located farthest from the ESCs. Conclusion: The SVI is a valuable tool for assessing disparities in access to advanced stroke care and predicting where additional ESCs should be added to benefit the population as a whole.

Indexed as

endovascular stroke centershealth disparitiesischemic stroke

Identifiers

PMID41584968
PMCPMC12778644

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Registered trials

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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.