Evidence map›Paper›PMID 40743121›Full record

Observational studyPloS one2025

A multi-biomarker approach to risk stratification and detection of early cardiac disease in systemic sclerosis.

Justin K Lui, Fatima El-Adili, Matthew Cozzolino, Morgan Winburn, Marcin A Trojanowski, Deepa M Gopal, Michael P LaValley, Elizabeth S Klings, Andreea M Bujor

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Justin K LuiPulmonary Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-4745-3766
Fatima El-AdiliArthritis and Autoimmune Diseases Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, United States of America.
Matthew CozzolinoSection of Cardiovascular Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0009-0003-2134-411X
Morgan WinburnSection of Cardiovascular Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, United States of America.
Marcin A TrojanowskiSection of Rheumatology, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, United States of America.
Deepa M GopalSection of Cardiovascular Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, United States of America.
Michael P LaValleySection of Rheumatology, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, United States of America.
Elizabeth S KlingsPulmonary Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, United States of America.
Andreea M BujorArthritis and Autoimmune Diseases Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe sought to investigate the relationship between serum biomarkers of cardiac dysfunction, longitudinal strain on echocardiography, and all-cause mortality in patients with systemic sclerosis.

methodsThis was an observational study using a biorepository of serum samples of patients with systemic sclerosis who underwent echocardiography. We investigated 3 biomarkers: periostin, galectin-3, and N-terminal prohormone brain natriuretic peptide and applied a K-means clustering resulting in 3 patient clusters. We subsequently measured left ventricular and right ventricular free wall longitudinal strain in each cluster. We then determined the association between each cluster and time to all-cause mortality compared to N-terminal prohormone brain natriuretic peptide, alone.

resultsThe 125 patients with systemic sclerosis included in the study were divided into 3 clusters based on biomarker levels (Cluster 1: N = 75; Cluster 2: N = 39; Cluster 3: N = 11). Compared to Cluster 1, Cluster 2 had only elevated periostin levels whereas Cluster 3 had elevated levels of all 3 serum biomarkers and was characterized by reduced left ventricular and right ventricular free wall longitudinal strain, regionally and globally. When adjusted for age, sex, systemic sclerosis disease duration, and forced vital capacity, patients in Cluster 3 had a HR of 14.42 (95% CI: 4.82, 43.18) for all-cause mortality compared to those in Cluster 1.

conclusionIn conclusion, combining N-terminal prohormone brain natriuretic peptide, periostin, and galectin-3 as serum biomarkers enhances risk stratification and sensitivity in detection of cardiac disease in patients with systemic sclerosis. However, before implementation in routine care, further prospective studies must refine biomarker sensitivity, specificity, and accuracy together with optimizing detection strategies and establishing clinical protocols for integration.

Indexed as

BiomarkersHeart DiseasesScleroderma, SystemicAdultAgedCell Adhesion MoleculesEarly DiagnosisEchocardiographyFemaleGalectin 3HumansMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsRisk AssessmentBiomarkersCell Adhesion MoleculesGalectin 3Natriuretic Peptide, BrainPeptide FragmentsPOSTN protein, humanpro-brain natriuretic peptide (1-76)

Identifiers

PMID40743121
PMCPMC12312888

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.