Evidence map›Paper›PMID 30205982›Full record

ArticleSeminars in arthritis and rheumatism2019

Racial/ethnic variation in stroke rates and risks among patients with systemic lupus erythematosus.

Medha Barbhaiya, Candace H Feldman, Hongshu Guan, Sarah K Chen, Michael A Fischer, Daniel H Solomon, Brendan M Everett, Karen H Costenbader

Abstract read
In one paragraph

Article in Seminars in arthritis and rheumatism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 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 2 institutions in 1 country.

Medha BarbhaiyaDivision of Rheumatology, Department of Medicine, Hospital for Special Surgery, New York, NY, United States. Electronic address: barbhaiyam@hss.edu.
Candace H FeldmanDivision of Rheumatology, Immunology, and Allergy, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Hongshu GuanDivision of Rheumatology, Immunology, and Allergy, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Sarah K ChenDivision of Rheumatology, Immunology, and Allergy, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Michael A FischerDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, MA, United States.
Daniel H SolomonDivision of Rheumatology, Immunology, and Allergy, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Brendan M EverettDivision of Cardiovascular and Preventive Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Karen H CostenbaderDivision of Rheumatology, Immunology, and Allergy, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Brigham and Women's Hospital · USHospital for Special Surgery · US

Funding

Sociodemographic Disparities in SLE Incidence: Behavioral and Psychosocial FactorsR01AR057327 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI COSTENBADER, KAREN H · 2009 to 2019
$6.2M
Cardiovascular Disease Epidemiology in Patients with LupusK24AR066109 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI COSTENBADER, KAREN H · 2014 to 2023
$1.7M
Patient Centered Outcomes Research in RheumatologyK24AR055989 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SOLOMON, DANIEL HAL · 2008 to 2017
$1.5M
Avoidable Acute Care Use among Patients with LupusK23AR071500 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI FELDMAN, CANDACE HILLARY · 2017 to 2021
$945k
NIAMS NIH HHS K23 AR071500NIAMS NIH HHS K24 AR055989NIAMS NIH HHS K24 AR066109NIAMS NIH HHS R01 AR057327
6 · The paper itself

Abstract

objectiveSystemic lupus erythematosus (SLE), which is associated with increased stroke risk, is more prevalent and often more severe among Blacks, Asians, and Hispanics than Whites. We examined racial/ethnic variation in stroke rates and risks, overall and by hemorrhagic versus ischemic subtype, among SLE patients.

methodsWithin Medicaid (2000-2010), we identified patients aged 18-65 with SLE (≥ 3 ICD-9 710.0 codes, ≥ 30days apart) and ≥12 months of continuous enrollment. Subjects were followed from index date to first stroke event, death, disenrollment, or end of follow-up. Race/ethnicity-specific annual event rates were calculated for stroke overall and by subtypes (hemorrhagic vs. ischemic). We used Cox proportional hazard models to estimate hazard ratios (HR) of stroke by race/ethnicity, adjusting for comorbidities and the competing risk of death.

resultsOf 65,788 SLE patients, 93.1% were female. Racial/ethnic breakdown was 42% Black, 38% White, 16% Hispanic, 3% Asian, and 1% American Indian/Alaska Natives. Mean follow-up was 3.7 ± 3.0years. After multivariable adjustment, Blacks were at increased risk of overall stroke (HR 1.34 [95%CI 1.18-1.53), hemorrhagic stroke (HR 1.42 [1.00-2.01]), and ischemic stroke (HR 1.33 [1.15-1.52]) compared to Whites. Hispanics were at increased risk of overall stroke (HR 1.25 [1.06-1.47)] and hemorrhagic stroke (HR 1.79 [95% CI 1.22-2.61]), but not ischemic stroke, compared to Whites.

conclusionAmong SLE patients enrolled in Medicaid, we observed elevated stroke risk (overall and by subtype) among Blacks and Hispanics compared to Whites, suggesting the importance of early recognition and screening for stroke risk factors among Blacks and Hispanics.

Indexed as

AdultAgedAsianBlack or African AmericanCohort StudiesComorbidityFemaleHispanic or LatinoHumansIndians, North AmericanLupus Erythematosus, SystemicMaleMedicaidMiddle AgedProportional Hazards ModelsStrokeCardiovascularCVAEthnicityMedicaidRaceRiskSLEStrokeSystemic lupus erythematosus

Identifiers

PMID30205982
PMCPMC6377855
OpenAlexW2886182752

What OpenQuestion holds

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Registered trials

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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.