Evidence map›Paper›PMID 34517767›Full record

ArticleStroke2022

Multiple Chronic Conditions Explain Ethnic Differences in Functional Outcome Among Patients With Ischemic Stroke.

Xiaqing Jiang, Lewis B Morgenstern, Christine T Cigolle, Lu Wang, Edward S Claflin, Lynda D Lisabeth

Open access · bronzeAbstract read
In one paragraph

Article in Stroke, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Racial and Ethnic Disparities in Stroke Incidence and Outcomes.Current cardiovascular risk reports · 2025
    Article
  3. 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

6 authors at 1 institution in 1 country.

Xiaqing JiangDepartments of Epidemiology (X.J., L.B.M., L.D.L.), School of Public Health, University of Michigan.ORCID 0000-0003-3633-0688
Lewis B MorgensternDepartments of Epidemiology (X.J., L.B.M., L.D.L.), School of Public Health, University of Michigan.ORCID 0000-0002-5787-592X
Christine T CigolleDepartment of Family Medicine and Internal Medicine (C.T.C.), University of Michigan Medical School.
Lu WangBiostatistics (L.W.), School of Public Health, University of Michigan.ORCID 0000-0003-4066-5026
Edward S ClaflinStroke Program (L.B.M., E.S.C., L.D.L.), University of Michigan Medical School.ORCID 0000-0003-4142-0047
Lynda D LisabethDepartments of Epidemiology (X.J., L.B.M., L.D.L.), School of Public Health, University of Michigan.ORCID 0000-0001-5539-5933
University of Michigan · US

Funding

STROKE SURVEILLANCE IN A BIETHNIC COMMUNITYR01NS038916 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LISABETH, LYNDA D, MORGENSTERN, LEWIS B · 1999 to 2023
$20.9M
Sleep apnea after stroke: Implications for screening and treatmentR01HL126700 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L, LISABETH, LYNDA D · 2016 to 2019
$3.0M
Sleep apnea health disparities in Mexican American stroke patientsR01NS070941 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L, LISABETH, LYNDA D · 2011 to 2015
$2.6M
American Heart Association-American Stroke Association 18PRE33990493NHLBI NIH HHS R01 HL126700NINDS NIH HHS R01 NS038916NINDS NIH HHS R01 NS070941
6 · The paper itself

Abstract

background and purposeMexican Americans (MAs) have worse stroke outcomes and a different profile of multiple chronic conditions (MCC) compared with non-Hispanic White people. MCC has implications for stroke treatment, complications, and poststroke care, which impact poststroke functional outcome (FO). We sought to assess the contribution of MCC to the ethnic difference in FO at 90 days between MAs and non-Hispanic White people.

methodsIn a prospective cohort of ischemic stroke patients (2008-2016) from Nueces County, Texas, data were collected from patient interviews, medical records, and hospital discharge data. MCC was assessed using a stroke-specific and function-relevant index (range, 0-35; higher scores greater MCC burden). Poststroke FO was measured by an average score of 22 activities of daily living (ADLs) and instrumental ADLs at 90 days (range, 1-4; higher scores worse FO). The contribution of MCC to the ethnic difference in FO was assessed using Tobit regression. Effect modification by ethnicity was examined.

resultsAmong the 896 patients, 70% were MA and 51% were women. Mean age was 68±12.2 years; 33% of patients were dependent in ADL/instrumental ADLs (FO score >3, representing a lot of difficulty with ADL/instrumental ADLs) at 90 days. MAs had significantly higher age-adjusted MCC burden compared with non-Hispanic White people. Patients with high MCC score (at the 75th percentile) on average scored 0.70 points higher in the FO score (indicating worse FO) compared with those with low MCC score (at the 25th percentile) after adjusting for age, initial National Institutes of Health Stroke Scale, and sociodemographic factors. MCC explained 19% of the ethnic difference in FO, while effect modification by ethnicity was not statistically significant.

conclusionsMAs had a higher age-adjusted MCC burden, which partially explained the ethnic difference in FO. The prevention and treatment of MCC could potentially mitigate poststroke functional impairment and lessen ethnic disparities in stroke outcomes.

Indexed as

Mexican AmericansAgedAged, 80 and overBrain IschemiaCohort StudiesEthnicityFemaleHumansIschemic StrokeMaleMiddle AgedMultiple Chronic ConditionsProspective StudiesRecovery of FunctionRisk FactorsTexascomorbidityethnic groupsmultiple chronic conditionsprognosisstroke

Identifiers

PMID34517767
PMCPMC8712371
OpenAlexW3201607327

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.