Evidence map›Paper›PMID 30877213›Full record

ArticleThe Journal of rheumatology2020

Increased Risk of Ischemic Stroke in Systemic Sclerosis: A National Cohort Study of US Veterans.

David Ying, Milena A Gianfrancesco, Laura Trupin, Jinoos Yazdany, Eric L Greidinger, Gabriela Schmajuk

Open access · greenAbstract read
In one paragraph

Article in The Journal of rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Stroke in autoimmune rheumatic diseases.Rheumatology international · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Residual Traditional Risk in Non-Traditional Atherosclerotic Diseases.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

David YingFrom the San Francisco Veterans Affairs Medical Center, San Francisco; Division of Rheumatology, University of California, San Francisco, California; Miami Veterans Affairs Medical Center, Miami; Division of Rheumatology, University of Miami Miller School of Medicine, Miami, Florida, USA. David.Ying@ucsf.edu.ORCID 0000-0002-2893-9146
Milena A GianfrancescoFrom the San Francisco Veterans Affairs Medical Center, San Francisco; Division of Rheumatology, University of California, San Francisco, California; Miami Veterans Affairs Medical Center, Miami; Division of Rheumatology, University of Miami Miller School of Medicine, Miami, Florida, USA.ORCID 0000-0002-8351-4626
Laura TrupinFrom the San Francisco Veterans Affairs Medical Center, San Francisco; Division of Rheumatology, University of California, San Francisco, California; Miami Veterans Affairs Medical Center, Miami; Division of Rheumatology, University of Miami Miller School of Medicine, Miami, Florida, USA.ORCID 0000-0003-4046-200X
Jinoos YazdanyFrom the San Francisco Veterans Affairs Medical Center, San Francisco; Division of Rheumatology, University of California, San Francisco, California; Miami Veterans Affairs Medical Center, Miami; Division of Rheumatology, University of Miami Miller School of Medicine, Miami, Florida, USA.ORCID 0000-0002-3508-4094
Eric L GreidingerFrom the San Francisco Veterans Affairs Medical Center, San Francisco; Division of Rheumatology, University of California, San Francisco, California; Miami Veterans Affairs Medical Center, Miami; Division of Rheumatology, University of Miami Miller School of Medicine, Miami, Florida, USA.ORCID 0000-0003-3473-3846
Gabriela SchmajukFrom the San Francisco Veterans Affairs Medical Center, San Francisco; Division of Rheumatology, University of California, San Francisco, California; Miami Veterans Affairs Medical Center, Miami; Division of Rheumatology, University of Miami Miller School of Medicine, Miami, Florida, USA.ORCID 0000-0003-2687-5043
San Francisco VA Medical Center · US

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
RESOURCE-BASED CENTER FOR THE ADVANCEMENT OF PRECISION MEDICINE IN RHEUMATOLOGYP30AR070155 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mary C Nakamura · 2016 to 2026
$8.2M
Advancing Quality and Outcomes Measurement in RheumatologyK24AR074534 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jinoos Yazdany · 2019 to 2026
$1.5M
A rational approach to liver toxicity monitoring in methotrexate usersK23AR063770 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHMAJUK, GABRIELA · 2013 to 2017
$670k
Computational methods using electronic health records and registry data to detect and predict clinical outcomes in rheumatic diseaseK01AR075085 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GIANFRANCESCO, MILENA ANNE · 2019 to 2022
$458k
NCATS NIH HHS UL1 TR001872NIAMS NIH HHS K01 AR075085NIAMS NIH HHS K23 AR063770NIAMS NIH HHS K24 AR074534NIAMS NIH HHS P30 AR070155
6 · The paper itself

Abstract

objectivePreviously thought to involve primarily the microvasculature, systemic sclerosis (SSc) has been increasingly linked to macrovascular disease. Cardiovascular (CV) and cerebrovascular disease are responsible for 20-30% of mortality in SSc, but few studies have shown an independent association between SSc and stroke. We assessed whether SSc was an independent risk factor for ischemic stroke.

methodsWe conducted a retrospective cohort study using the national Veterans Affairs (VA) administrative database containing records from 1999 to 2014. We obtained data for all patients with a diagnosis of SSc as well as 2 controls per SSc patient matched on sex, race, smoking status, and VA site. All patients were followed until development of ischemic stroke, death, or last encounter. We used a Cox proportional hazard regression model to estimate risk of ischemic stroke, with adjustments for CV comorbidities (hypertension, diabetes, atrial fibrillation, non-cerebrovascular atherosclerotic disease, hyperlipidemia), baseline medication use (aspirin, nonsteroidal antiinflammatory drugs), and Medicare enrollment.

resultsAmong 4545 individuals with SSc (83% male, mean age 60.9 yrs), the incidence rate of ischemic stroke was 15.3 per 1000 person-years (vs 12.2 in the control cohort), with an unadjusted HR 1.28 (95% CI 1.11-1.47). The adjusted HR was 1.21 (95% CI 1.05-1.40) after adjusting for baseline CV risk factors, medications, and Medicare enrollment.

conclusionSSc is independently associated with a higher risk of ischemic stroke among US veterans. Patients with SSc represent a population likely to benefit from targeted stroke screening or prevention therapies.

Indexed as

VeteransAgedBrain IschemiaCase-Control StudiesComorbidityFemaleFollow-Up StudiesHumansIncidenceIschemic StrokeMaleMedicareMiddle AgedRetrospective StudiesRisk FactorsScleroderma, SystemicMATCHED-PAIR ANALYSISPROPORTIONAL HAZARDS MODELSSTROKESYSTEMIC SCLEROSISVETERANS HEALTH

Identifiers

PMID30877213
PMCPMC7269199
OpenAlexW2922070707

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.