Evidence map›Paper›PMID 36400454›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2023

Trends and inequities in the diagnosis and treatment of poststroke depression: a retrospective cohort study of privately insured patients in the USA, 2003-2020.

Holly Elser, Michelle Caunca, David H Rehkopf, Wells Andres, Rebecca F Gottesman, Scott E Kasner, Kristine Yaffe, Andrea L C Schneider

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 5 institutions in 1 country.

Holly ElserDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA Holly.Elser@Pennmedicine.upenn.edu.ORCID 0000-0003-1781-904X
Michelle CauncaDepartment of Neurology, University of California, San Francisco, California, USA.
David H Rehkopf4. Epidemiology and Population Health, Stanford University, Stanford, California, USA.
Wells AndresDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-6375-7367
Rebecca F GottesmanNational Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, Maryland, USA.
Scott E KasnerDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Kristine YaffeDepartments of Psychiatry, Neurology and Epidemiology, University of California, San Francisco, California, USA.
Andrea L C SchneiderDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Hospital of the University of Pennsylvania · USUniversity of California, San Francisco · USUniversity of Pennsylvania · USNational Institutes of Health · USStanford University · US

Funding

Stroke, Cognition and Neuroepidemiology SectionZIANS009435 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI GOTTESMAN, REBECCA F · 2022 to 2025
$8.2M
Population Based Research for Alzheimer's Innovation (POP BRAIN)R35AG071916 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAFFE, KRISTINE · 2021 to 2024
$3.8M
Establishing Mechanisms Between Traumatic Brain Injury and Dementia Using Epidemiology, Clinical Studies, Blood-Based Biomarkers, and Neuroimaging BiomarkersK23NS123340 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Andrea Lauren Christman Schneider · 2022 to 2026
$1.1M
NIA NIH HHS R35 AG071916NINDS NIH HHS K23 NS123340
6 · The paper itself

Abstract

backgroundDepression is a common neuropsychiatric consequence of stroke, but there is little empiric evidence regarding clinical diagnosis and management of poststroke depression.

methodsRetrospective cohort study among 831 471 privately insured patients with first stroke in the USA from 2003 to 2020. We identified diagnoses of poststroke depression using codes from the International Classification of Diseases. We identified treatment based on prescriptions for antidepressants. We used Cox proportional hazards regression analysis to examine rates of poststroke depression diagnosis by gender, age and race/ethnicity. Among individuals who received a diagnosis of poststroke depression, we estimated treatment rates by gender, race/ethnicity and age using negative binomial regression analysis.

resultsAnnual diagnosis and treatment rates for poststroke depression increased from 2003 to 2020 (both p for trend<0.001). Diagnosis rates were higher in women than men (HR 1.53, 95% CI 1.51 to 1.55), lower among members of racial/ethnic minorities (vs white patients: Asian HR 0.63, 95% CI 0.60 to 0.66; Black HR 0.76, 95% CI 0.74 to 0.78; Hispanic HR 0.88, 95% CI 0.86 to 0.90) and varied by age. Among individuals diagnosed with poststroke depression, 69.8% were prescribed an antidepressant. Rates of treatment were higher in women vs men (rate ratio, RR=1.19, 95% CI: 1.17 to 1.21), lower among members of racial/ethnic minorities (vs white patients: Asian RR 0.85, 95% CI 0.80 to 0.90; Black RR 0.92, 95% CI 0.89 to 0.94; Hispanic RR 0.96, 95% CI 0.93 to 0.99) and higher among older patients.

conclusionsIn this insured population, we identify potential inequities in clinical management of poststroke depression by gender, race/ethnicity and age that may reflect barriers other than access to healthcare.

Indexed as

DepressionStrokeAntidepressive AgentsEthnicityFemaleHumansInsurance, HealthMaleRetrospective StudiesUnited StatesAntidepressive Agentsdepressionepidemiologystroke

Identifiers

PMID36400454
PMCPMC9931658
OpenAlexW4309326680

What OpenQuestion holds

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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.