Evidence map›Paper›PMID 38639361›Full record

SynthesisJournal of the American Heart Association2024

Influence of Socioeconomic Status on Functional Outcomes After Stroke: A Systematic Review and Meta-Analysis.

Mai T H Nguyen, Yuki Sakamoto, Toshiki Maeda, Mark Woodward, Craig S Anderson, Jayson Catiwa, Amelia Yazidjoglou, Cheryl Carcel, Min Yang, Xia Wang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Mai T H NguyenThe George Institute for Global Health, The University of New South Wales Sydney New South Wales Australia.ORCID 0000-0002-8834-5788
Yuki SakamotoThe George Institute for Global Health, The University of New South Wales Sydney New South Wales Australia.
Toshiki MaedaThe George Institute for Global Health, The University of New South Wales Sydney New South Wales Australia.ORCID 0000-0002-5634-9792
Mark WoodwardThe George Institute for Global Health, The University of New South Wales Sydney New South Wales Australia.ORCID 0000-0001-9800-5296
Craig S AndersonThe George Institute for Global Health, The University of New South Wales Sydney New South Wales Australia.ORCID 0000-0002-7248-4863
Jayson CatiwaThe George Institute for Global Health, The University of New South Wales Sydney New South Wales Australia.ORCID 0000-0002-2841-6513
Amelia YazidjoglouCentre of Epidemiology for Policy and Practice, National Centre for Epidemiology and Population Health Australian National University Canberra Australian Capital Territory Australia.ORCID 0000-0003-4406-368X
Cheryl CarcelThe George Institute for Global Health, The University of New South Wales Sydney New South Wales Australia.ORCID 0000-0001-8942-953X
Min YangDepartment of Neurology First Affiliated Hospital of Chengdu Medical College Chengdu China.ORCID 0000-0003-4689-7581
Xia WangThe George Institute for Global Health, The University of New South Wales Sydney New South Wales Australia.ORCID 0000-0002-1684-7076

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis review aimed to quantify the impact of socioeconomic status on functional outcomes from stroke and identify the socioeconomic status indicators that exhibit the highest magnitude of association. METHODS AND

resultsWe performed a systematic literature search across Medline and Embase from inception to May 2022, to identify observational studies (n≥100, and in English). Risk of bias was assessed using the modified Newcastle Ottawa Scale. Random effects meta-analysis was used to pool data. We included 19 studies (157 715 patients, 47.7% women) reporting functional outcomes measured with modified Rankin Scale or Barthel index, with 10 assessed as low risk of bias. Measures of socioeconomic status reported were education (11 studies), income (8), occupation (4), health insurance status (3), and neighborhood socioeconomic deprivation (3). Pooled data suggested that low socioeconomic status was significantly associated with poor functional outcomes, including incomplete education or below high school level versus high school attainment and above (odds ratio [OR], 1.66 [95% CI, 1.40-1.95]), lowest income versus highest income (OR, 1.36 [95% CI, 1.02-1.83]), a manual job/being unemployed versus a nonmanual job/working (OR, 1.62 [95% CI, 1.29-2.02]), and living in the most disadvantaged socioeconomic neighborhood versus the least disadvantaged (OR, 1.55 [95% CI, 1.25-1.92]). Low health insurance status was also associated with an increased risk of poor functional outcomes (OR, 1.32 [95% CI, 0.95-1.84]), although this was association was not statistically significant.

conclusionsDespite great strides in stroke treatment in the past decades, social disadvantage remains a risk factor for poor functional outcome after an acute stroke. Further research is needed to better understand causal mechanisms and disparities.

Indexed as

Social ClassStrokeEducational StatusFemaleFunctional StatusHumansIncomeMaleRecovery of FunctionRisk FactorsSocial Determinants of HealthSocioeconomic FactorsStroke Rehabilitationdisparitiesfunctional outcomessocioeconomicstroke

Identifiers

PMID38639361
PMCPMC11179939

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.