Evidence map›Paper›PMID 41084328›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2026

Identification of Risk Factors for Incident Left Ventricular Systolic Dysfunction and Predictors of Cardiac Recovery in Patients With Systemic Sclerosis.

Ji Soo Kim, Rachel S Wallwork, Carrie L Richardson, Adrianne Woods, Monica Mukherjee, Steven Hsu, Julie J Paik, Christopher A Mecoli, Laura K Hummers, Fredrick M Wigley and 2 more

Abstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Ji Soo KimDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-4849-4930
Rachel S WallworkDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Carrie L RichardsonDivision of Rheumatology, Northwestern University Chicago, Chicago, Illinois.
Adrianne WoodsDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Monica MukherjeeDivision of Cardiology, Johns Hopkins University, Baltimore, Maryland.
Steven HsuDivision of Cardiology, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-8384-2638
Julie J PaikDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-8436-1601
Christopher A MecoliDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-1429-8392
Laura K HummersDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-4864-4011
Fredrick M WigleyDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Scott L ZegerDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Ami A ShahDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Funding

Sample Processing and Immunoassay Research CoreP30AR070254 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI CLIFTON O BINGHAM, Antony Rosen · 2016 to 2026
$8.9M
Multidisciplinary Rheumatology Training ProgramT32AR048522 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI CLIFTON O BINGHAM, LIVIA A CASCIOLA-ROSEN · 2003 to 2026
$6.4M
Early Detection of Right Ventricular Dysfunction and Emerging Pulmonary Hypertension in Systemic SclerosisR01HL162851 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Monica Mukherjee · 2023 to 2026
$2.5M
Harnessing multivariate patient- and population-level disease trajectories to predict major clinical events in sclerodermaK24AR080217 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI Ami Aalok Shah · 2022 to 2026
$847k
Skeletal Myopathy in Systemic Sclerosis: Devising a Classification Schema Predictive of OutcomesK23AR073927 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI PAIK, JULIE JISUN · 2020 to 2024
$787k
Chresanthe Staurulakis Memorial Discovery FundDonald B. and Dorothy L. Stabler FoundationJerome L. Greene FoundationMartha McCrory ProfessorshipNational Heart, Lung and Blood Institute (NHLBI)/NIH R01HL162851National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)/National Institutes of Health (NIH) K23AR073927National Scleroderma Foundation and Johns Hopkins in Health initiativeNHLBI NIH HHS R01 HL162851NIAMS NIH HHS K23 AR073927NIAMS NIH HHS K24 AR080217NIAMS NIH HHS P30 AR070254NIAMS NIH HHS T32 AR048522Rheumatology Research FoundationScleroderma Research FoundationU.S. Department of Defense PR231648
6 · The paper itself

Abstract

objectiveCardiac involvement in systemic sclerosis (SSc) is a leading cause of death. We sought to investigate predictors of incident left ventricular systolic dysfunction (LVSD) and cardiac recovery in SSc.

methodsIn total, 2,303 patients in the Johns Hopkins Scleroderma Center Research Registry and 13,209 echocardiograms were analyzed. We identified predictors associated with incident LVSD defined by transitions in left ventricular ejection fraction (EF) states (EF ≥50% declining to <50% and EF >35% dropping to ≤35% [severe LVSD]) by fitting multivariate logistic regression models with time-varying and invariant variables. Variables associated with cardiac recovery were identified by fitting multivariate logistic regression models using important variables identified from random forest analysis.

resultsMale sex, Black race, diffuse skin disease, higher modified Rodnan skin score (mRSS), echocardiographic evidence of pulmonary hypertension (PH), kidney disease, and atrial fibrillation (AFib) were associated with increased odds of incident LVSD (EF < 50%), whereas anticentromere and anti-topoisomerase-1 were protective. Male sex, higher mRSS, PH, skeletal myopathy, kidney disease, AFib, and anti-Ku antibodies were associated with higher odds of incident severe LVSD (EF ≤ 35%). For previous EF <50%, tendon friction rubs were associated with lower odds of cardiac recovery and anti-RNA polymerase III (anti-RNAP III) was associated with higher odds. For previous EF ≤35%, diabetes was associated with lower odds of recovering to EF >35%.

conclusionDistinct demographic SSc-specific and cardiac characteristics are associated with increased risk of incident LVSD in SSc, with skeletal myopathy and anti-Ku antibodies being important risk factors for severe disease. Some patients improved, which was more likely in anti-RNAP III positive patients.

Indexed as

Scleroderma, SystemicVentricular Dysfunction, LeftAdultAgedAntibodies, AntinuclearAtrial FibrillationEchocardiographyFemaleHumansHypertension, PulmonaryIncidenceKidney DiseasesLogistic ModelsMaleMiddle AgedRecovery of FunctionAntibodies, Antinuclear

Identifiers

PMID41084328
PMCPMC13367322

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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.