Evidence map›Paper›PMID 37904925›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Effects of System-Level Factors on Race/Ethnic Differences in In-Hospital Mortality after Acute Ischemic Stroke.

Philip Sun, Daniela Markovic, Abdullah Ibish, Roland Faigle, Rebecca Gottesman, Amytis Towfighi

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Philip SunDepartment of Neurology, David Geffen School of Medicine at University of California - Los Angeles, Los Angeles, CA.
Daniela MarkovicDepartment of Internal Medicine, University of California - Los Angeles, Los Angeles, CA.
Abdullah IbishDepartment of Neurology, David Geffen School of Medicine at University of California - Los Angeles, Los Angeles, CA.
Roland FaigleDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Rebecca GottesmanDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Amytis TowfighiDepartment of Neurology, David Geffen School of Medicine at University of California - Los Angeles, Los Angeles, CA.
University of Southern California · USJohns Hopkins University · USUniversity of California, Los Angeles · US

Funding

UCLA-UCI Center for Eliminating Cardio-Metabolic Disparities in Multi-Ethnic Populations (UC END-DISPARITIES)P50MD017366 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BODEN-ALBALA, BERNADETTE MARIE, BROWN, ARLEEN F. · 2021 to 2025
$17.3M
Recurrent Hemorrhagic Stroke in Minority PopulationsR01NS093870 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI JONATHAN ROSAND, Amytis Towfighi · 2016 to 2026
$12.3M
NIMHD NIH HHS P50 MD017366NINDS NIH HHS R01 NS093870
6 · The paper itself

Abstract

Introduction: Stroke mortality has declined, with differential changes by race; stroke is now the 5th leading cause of death overall, but 2nd leading cause of death in Black individuals. Little is known about recent race/ethnic and sex trends in in-hospital mortality after acute ischemic stroke (AIS) and whether system-level factors contribute to possible differences. Methods: Using the National Inpatient Sample, adults (≥18 years) with a primary diagnosis of AIS from 2006 to 2017 (n=643,912) were identified. We assessed in-hospital mortality by race/ethnicity (White, Black, Hispanic, Asian/Pacific Islander [API], other), sex, and age. Hospitals were categorized by proportion of non-White patients served: <25% ("predominantly White patients"), 25-50% ("mixed race/ethnicity profile"), and ≥50% ("predominantly non-White patients"). Using survey adjusted logistic regression, the association between race/ethnicity and odds of mortality was assessed, adjusting for key sociodemographic, clinical, and hospital characteristics (e.g., age, comorbidities, stroke severity, do not resuscitate orders, and palliative care). Results: Overall, mortality decreased from 5.0% in 2006 to 2.9% in 2017 (p<0.001). Comparing 2012-2017 to 2006-2011, there was a 68% reduction in mortality odds overall after adjusting for covariates, most prominent in White individuals (69%) and smallest in Black individuals (57%). Compared to White patients, Black and Hispanic patients had lower odds of mortality (adjusted odds ratio (aOR) 0.82, 95% CI 0.78-0.87 and aOR 0.93, 95% CI 0.87-1.00), primarily driven by those >65 years (age x ethnicity interaction p < 0.0001). Compared to White men, Black, Hispanic, and API men, and Black women had lower aOR of mortality. The differences in mortality between White and non-White patients were most pronounced in hospitals predominantly serving White patients (aOR 0.80, 0.74-0.87) compared to mixed hospitals (aOR 0.85, 0.79-0.91) and predominantly non-White hospitals (aOR 0.88, 0.81-0.95; interaction effect: p=0.005). Discussion: AIS mortality decreased dramatically in recent years in all race/ethnic subgroups. Overall, non-White AIS patients had lower mortality than their White counterparts, a difference that was most striking in hospitals predominantly serving White patients. Further study is needed to understand these differences and to what extent biological, sociocultural, and system-level factors play a role.

Indexed as

DisparitieselderlyepidemiologyEthnicityHealth ServicesInequitiesMortalityPatient-Centered OutcomesQuality ImprovementRacesex differencesStrokethrombolysis

Identifiers

PMID37904925
PMCPMC10615015
OpenAlexW4387858979

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.