Evidence map›Paper›PMID 34080001›Full record

ArticleRheumatology (Oxford, England)2021

Predictors of subclinical systemic sclerosis primary heart involvement characterised by microvasculopathy and myocardial fibrosis.

Raluca B Dumitru, Lesley-Anne Bissell, Bara Erhayiem, Graham Fent, Ananth Kidambi, Peter Swoboda, Giuseppina Abignano, Helena Donica, Agata Burska, John P Greenwood and 4 more

Open access · greenAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

34 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Molecular imaging of fibroblast activation in systemic sclerosis using [European journal of nuclear medicine and molecular imaging · 2026
    Article
  6. Article
  7. Article
  8. Coronary microvascular dysfunction in systemic inflammatory diseases: From pathophysiology and prevalence to diagnosis and management.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article
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

14 authors at 3 institutions in 2 countries.

Raluca B DumitruLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Lesley-Anne BissellLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Bara ErhayiemDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Graham FentDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Ananth KidambiDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Peter SwobodaDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Giuseppina AbignanoLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-1479-0133
Helena DonicaDepartment of Biochemical Diagnostics, Medical University of Lublin, Lublin, Poland.
Agata BurskaLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
John P GreenwoodDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
John BiglandsLeeds Biomedical Research Centre, National Institute for Health Research, Leeds, UK.
Francesco Del GaldoLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Sven PleinDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Maya H BuchLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
University of Leeds · GBMedical University of Lublin · PLNational Institute for Health Research · GB

Funding

British Heart Foundation CH/16/2/32089Department of Health 11/117/27Department of Health ICA-CL-2016-02-017
6 · The paper itself

Abstract

objectivesSSc primary heart involvement (SSc-pHI) is a significant cause of mortality. We aimed to characterize and identify predictors of subclinical SSc-pHI using cardiovascular MRI.

methodsA total of 83 SSc patients with no history of cardiovascular disease or pulmonary arterial hypertension and 44 healthy controls (HCs) underwent 3 Tesla contrast-enhanced cardiovascular MRI, including T1 mapping and quantitative stress perfusion. High-sensitivity troponin I and N-terminal pro-brain natriuretic peptide were also measured.

resultsCardiovascular MRI revealed a lower myocardial perfusion reserve in the SSc patients compared with HCs {median (interquartile range (IQR)] 1.9 (1.6-2.4) vs 3 (2-3.6), P < 0.001}. Late gadolinium enhancement, indicating focal fibrosis, was observed in 17/83 patients but in none of the HCs, with significantly higher extracellular volume (ECV), suggestive of diffuse fibrosis, in SSc vs HC [mean (s.d.) 31 (4) vs 25 (2), P < 0.001]. Presence of late gadolinium enhancement and higher ECV was associated with skin score [odds ratio (OR) = 1.115, P = 0.048; R2 = 0.353, P = 0.004], and ECV and myocardial perfusion reserve was associated with the presence of digital ulcers at multivariate analysis (R2 = 0.353, P < 0.001; R2 = 0.238, P = 0.011). High-sensitivity troponin I was significantly higher in patients with late gadolinium enhancement, and N-terminal pro-brain natriuretic peptide was associated with ECV (P < 0.05).

conclusionSubclinical SSc-pHI is characterized by myocardial microvasculopathy, diffuse and focal myocardial fibrosis but preserved myocardial contractile function. This subclinical phenotype of SSc-pHI was associated with high-sensitivity troponin I, N-terminal pro-brain natriuretic peptide, SSc disease severity and complicated peripheral vasculopathy. These data provide information regarding the underlying pathophysiological processes and provide a basis for identifying individuals at risk of SSc-pHI.

Indexed as

AdultBiomarkersCardiomyopathiesFemaleFibrosisHumansMagnetic Resonance Imaging, CineMaleMiddle AgedRisk FactorsScleroderma, SystemicBiomarkerscardiovascular magnetic resonancerisk stratificationSSc primary heart involvement

Identifiers

PMID34080001
PMCPMC8213428
OpenAlexW3107863118

What Socratic holds

Textmetadata
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 Socratic graph.