Evidence map›Paper›PMID 26628384›Full record

ArticleStroke2016

Prevalence of Depression Among Stroke Survivors: Racial-Ethnic Differences.

Kezhen Fei, Emma K T Benn, Rennie Negron, Guedy Arniella, Stanley Tuhrim, Carol R Horowitz

Abstract read
In one paragraph

Article in Stroke, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  13. Depressed Mood after Stroke: Predictive Factors at Six Months Follow-Up.International journal of environmental research and public health · 2020
    Observational
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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

6 authors at 3 institutions in 1 country.

Kezhen FeiFrom the Center for Health Equity and Community Engaged Research (K.F., E.K.T.B., C.R.H.) and Center for Biostatistics (K.F., E.K.T.B.), Icahn School of Medicine, New York, NY; Yale Institute for Network Science, Yale University, New Haven, CT (R.N.); Institute for Family Health, New York, NY (G.A.); Department of Neurology, Icahn School of Medicine, New York, NY (S.T.); and Department of Medicine, Icahn School of Medicine, New York, NY (C.R.H.). kezhen.fei@mountsinai.org.
Emma K T BennFrom the Center for Health Equity and Community Engaged Research (K.F., E.K.T.B., C.R.H.) and Center for Biostatistics (K.F., E.K.T.B.), Icahn School of Medicine, New York, NY; Yale Institute for Network Science, Yale University, New Haven, CT (R.N.); Institute for Family Health, New York, NY (G.A.); Department of Neurology, Icahn School of Medicine, New York, NY (S.T.); and Department of Medicine, Icahn School of Medicine, New York, NY (C.R.H.).
Rennie NegronFrom the Center for Health Equity and Community Engaged Research (K.F., E.K.T.B., C.R.H.) and Center for Biostatistics (K.F., E.K.T.B.), Icahn School of Medicine, New York, NY; Yale Institute for Network Science, Yale University, New Haven, CT (R.N.); Institute for Family Health, New York, NY (G.A.); Department of Neurology, Icahn School of Medicine, New York, NY (S.T.); and Department of Medicine, Icahn School of Medicine, New York, NY (C.R.H.).
Guedy ArniellaFrom the Center for Health Equity and Community Engaged Research (K.F., E.K.T.B., C.R.H.) and Center for Biostatistics (K.F., E.K.T.B.), Icahn School of Medicine, New York, NY; Yale Institute for Network Science, Yale University, New Haven, CT (R.N.); Institute for Family Health, New York, NY (G.A.); Department of Neurology, Icahn School of Medicine, New York, NY (S.T.); and Department of Medicine, Icahn School of Medicine, New York, NY (C.R.H.).
Stanley TuhrimFrom the Center for Health Equity and Community Engaged Research (K.F., E.K.T.B., C.R.H.) and Center for Biostatistics (K.F., E.K.T.B.), Icahn School of Medicine, New York, NY; Yale Institute for Network Science, Yale University, New Haven, CT (R.N.); Institute for Family Health, New York, NY (G.A.); Department of Neurology, Icahn School of Medicine, New York, NY (S.T.); and Department of Medicine, Icahn School of Medicine, New York, NY (C.R.H.).
Carol R HorowitzFrom the Center for Health Equity and Community Engaged Research (K.F., E.K.T.B., C.R.H.) and Center for Biostatistics (K.F., E.K.T.B.), Icahn School of Medicine, New York, NY; Yale Institute for Network Science, Yale University, New Haven, CT (R.N.); Institute for Family Health, New York, NY (G.A.); Department of Neurology, Icahn School of Medicine, New York, NY (S.T.); and Department of Medicine, Icahn School of Medicine, New York, NY (C.R.H.).
Institute for Family Health · USYale University · USIcahn School of Medicine at Mount Sinai · US

Funding

Mount Sinai Institutes for Clinical and Translational SciencesUL1TR000067 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SAMPSON, HUGH A · 2012 to 2014
$16.5M
RESEARCH COREP60MD000270 · NIMHD · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI HOROWITZ, CAROL R · 2002 to 2011
$15.1M
Disseminating Effective Community-Led Programs to Elimanate Diabetes DisparitiesR24MD001691 · NIMHD · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI HOROWITZ, CAROL R · 2005 to 2015
$6.0M
NCATS NIH HHS UL1 TR000067NIMHD NIH HHS P60 MD000270NIMHD NIH HHS R24 MD001691
6 · The paper itself

Abstract

background and purposeAlthough poststroke depression is common, racial-ethnic disparities in depression among stroke survivors remain underexplored. Thus, we investigated the relationship between race/ethnicity and depression in a multiracial-ethnic stroke cohort.

methodsBaseline survey data of validated scales of depression and functional status, demographics, comorbidities, and socioeconomic status were used from a recurrent stroke prevention study among community-dwelling urban stroke/transient ischemic attack survivors.

resultsThe cohort included 556 participants with a mean age of 64 years. The majorities were black (44%) or latino (42%) and female (60%), had their last stroke/transient ischemic attack nearly 2 years before study enrollment, and lived below the poverty level (58%). Nearly 1 in 2 latinos, 1 in 4 blacks, and 1 in 8 whites were depressed. Multivariate logistic regression showed that survivors who were younger, were female, had ≥3 comorbid conditions, were functionally disabled from stroke, lacked emotional-social support, and who took antidepressants before study entry had higher risk of depression. Time since last stroke/transient ischemic attack did not affect the chance of depression. After adjusting for all above risk factors, latinos had 3× the odds of depression (95% confidence interval: 1.18-6.35) than whites; blacks and whites had similar odds of depression.

conclusionsThis study reveals that latino stroke survivors have a significantly higher prevalence of depression compared with their non-latino counterparts.

Indexed as

Health Status DisparitiesAgedBlack or African AmericanCohort StudiesComorbidityDepressionDepressive DisorderEthnicityFemaleHispanic or LatinoHumansIndependent LivingIschemic Attack, TransientMaleMiddle AgedPersons with Disabilitiescomorbiditydepressionprevalenceracial/ethnic disparitystroke

Identifiers

PMID26628384
PMCPMC4729645
OpenAlexW2183758749

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.