Evidence map›Paper›PMID 42037450›Full record

ArticleJournal of the American Heart Association2026

Temporal Trends and Drivers of Socioeconomic Inequalities in Stroke Care, Survival, and Long-Term Outcomes.

Eva S Emmett, Camila Pantoja-Ruiz, Abdel Douiri, David Wyatt, Martin Chapman, Wasana Kalansooriya, Julia Fox-Rushby, Amal R Khanolkar, Yanzhong Wang, Ajay Bhalla and 3 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

13 authors.

Eva S EmmettDepartment of Population Health Sciences King's College London London United Kingdom.ORCID 0000-0001-7228-4469
Camila Pantoja-RuizDepartment of Population Health Sciences King's College London London United Kingdom.ORCID 0000-0003-4411-466X
Abdel DouiriDepartment of Population Health Sciences King's College London London United Kingdom.ORCID 0000-0002-4354-4433
David WyattDepartment of Population Health Sciences King's College London London United Kingdom.ORCID 0000-0001-5859-7389
Martin ChapmanDepartment of Population Health Sciences King's College London London United Kingdom.
Wasana KalansooriyaDepartment of Population Health Sciences King's College London London United Kingdom.ORCID 0000-0002-4328-1450
Julia Fox-RushbyDepartment of Population Health Sciences King's College London London United Kingdom.
Amal R KhanolkarDepartment of Population Health Sciences King's College London London United Kingdom.ORCID 0000-0002-6327-2463
Yanzhong WangDepartment of Population Health Sciences King's College London London United Kingdom.ORCID 0000-0002-0768-1676
Ajay BhallaDepartment of Population Health Sciences King's College London London United Kingdom.ORCID 0009-0003-3355-2864
Charles D A WolfeDepartment of Population Health Sciences King's College London London United Kingdom.ORCID 0000-0001-8264-0981
Matthew D L O'ConnellDepartment of Population Health Sciences King's College London London United Kingdom.
Iain J MarshallDepartment of Population Health Sciences King's College London London United Kingdom.ORCID 0000-0003-2594-2654

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke disproportionately affects individuals with lower socioeconomic status (SES). This study investigates socioeconomic inequalities in stroke care and long-term outcomes since 1995.

methodsUsing the South London Stroke Register (1995-2024), SES was measured at the area-level (Index of Multiple Deprivation [IMD]) and individual-level (occupation). Associations between SES and stroke unit admission, thrombolysis, and poststroke disability (Barthel Index/0-14), dependency (Frenchay Activities Index/0-15), and depression (Hospital Anxiety and Depression Scale/8-21) were estimated using multivariable logistic regression; and SES-effect on 5-year survival was estimated using Kaplan-Meier and Cox Proportional-hazard models.

resultsA total of 7714 participants were included (median age [interquartile range]: 70.9 years [59.0-80.8 years]; women: N=3677 [47.7%]). SES was not associated with stroke unit admission (IMD 1 (most deprived) versus IMD 3/4/5 (least deprived): odds ratio 0.90 [95% CI 0.76-1.08]; routine/manual versus nonroutine/nonmanual occupation: 1.04 [0.92-1.17]) or thrombolysis (0.91 [0.66-1.25]; 0.94 [0.75-1.16], respectively). Poorer survival of participants with lower SES in 1995 to 2003 (IMD 1 versus IMD 3/4/5: hazard ratio 2.24 [95% CI 1.81-2.76]; routine/manual versus nonroutine/nonmanual: 1.09 [0.98-1.24]) was not observed in 2013 to 2022 (1.02 [0.82-1.26]; 0.97 [0.82-1.15]). A total of 3944 completed 3-month (64.8% of alive) and 2364 5-year follow-ups (69.4%). In stroke-year/age/sex-adjusted analyses, participants with lower SES persistently experienced higher rates of 3-month and 5-year disability and dependency and 5-year depression. Further adjustments for ethnicity, vascular risk factors, stroke type/severity and acute interventions had minor attenuating effects.

conclusionsAccess to key acute interventions was equitable and the survival disadvantage of participants with lower SES declined. Persistent inequalities in functional and mental health outcomes might be driven by factors beyond acute interventions (eg, rehabilitation access or post-acute social support), requiring integrated care approaches addressing clinical and social determinants of stroke recovery.

Indexed as

Healthcare DisparitiesStrokeAgedAged, 80 and overFemaleHumansLondonLow Socioeconomic StatusMaleMiddle AgedRegistriesRisk FactorsSocioeconomic Disparities in HealthThrombolytic TherapyTime Factorsinequalitymortalitypatient‐reported outcomessocioeconomic statusstroke

Identifiers

PMID42037450
PMCPMC13279054

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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.