Evidence map›Paper›PMID 35482539›Full record

ArticleRheumatology (Oxford, England)2023

Evaluation of left cardiac chamber function with cardiac magnetic resonance and association with outcome in patients with systemic sclerosis.

Steele C Butcher, Jacqueline L Vos, Federico Fortuni, Xavier Galloo, Sophie I E Liem, Jeroen J Bax, Victoria Delgado, Madelon C Vonk, Sander I van Leuven, Miranda Snoeren and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Association between Left Atrial Function and Survival in Systemic Sclerosis.Journal of cardiovascular development and disease · 2024
    Article
  5. Article
  6. Observational
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 5 institutions in 6 countries.

Steele C ButcherDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-8258-8802
Jacqueline L VosCardiology, Radboud UMC, Nijmegen, The Netherlands.
Federico FortuniDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-6905-9439
Xavier GallooDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-6294-7668
Sophie I E LiemDepartment of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.
Jeroen J BaxDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
Victoria DelgadoDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-9841-2737
Madelon C VonkDepartment of Rheumatology.
Sander I van LeuvenDepartment of Rheumatology.
Miranda SnoerenDepartment of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Saloua El MessaoudiCardiology, Radboud UMC, Nijmegen, The Netherlands.
Jeska K de Vries-BouwstraDepartment of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.
Robin NijveldtCardiology, Radboud UMC, Nijmegen, The Netherlands.
Nina Ajmone MarsanDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-7208-5769
Leiden University Medical Center · NLRadboud University Nijmegen · NLRoyal Perth Hospital · AUUniversity of Turku · FIVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to determine whether lower values of feature-tracking cardiovascular magnetic resonance (CMR)-derived left atrial reservoir strain (LARS) and impaired left ventricular (LV) global longitudinal strain (GLS) were associated with the presence of symptoms and long-term prognosis in patients with SSc.

methodsA total of 100 patients {54 [interquartile range (IQR) 46-64] years, 42% male} with SSc who underwent CMR imaging at two tertiary referral centres were included. All patients underwent analysis of LARS and LV GLS using feature-tracking on CMR and were followed-up for the occurrence of all-cause mortality.

resultsThe median LV GLS was -21.8% and the median LARS was 36%. On multivariable logistic regression, LARS [odds ratio (OR) 0.964 per %, 95% CI 0.929, 0.998, P = 0.049] was independently associated with New York Heart Association (NYHA) class II-IV heart failure symptoms. Over a median follow-up of 37 (21-62) months, a total of 24 (24%) patients died. Univariable Cox regression analysis demonstrated that LARS [hazard ratio (HR) 0.94 per 1%, 95% CI 0.91, 0.97, P < 0.0001) and LV GLS (HR 1.10 per %, 95% CI 1.03, 1.17, P = 0.005) were associated with all-cause mortality, while LV ejection fraction was not. Likelihood ratio tests demonstrated that LARS provided incremental value over prognostically important clinical and imaging parameters, including late gadolinium enhancement.

conclusionIn patients with SSc, LARS was independently associated with the presence of NYHA class II-IV heart failure symptoms. Although both LARS and LV GLS were associated with all-cause mortality, only LARS provided incremental value over all evaluated variables known to be prognostically important in patients with SSc.

Indexed as

Heart FailureScleroderma, SystemicContrast MediaFemaleGadoliniumHumansMagnetic Resonance Imaging, CineMagnetic Resonance SpectroscopyMaleMiddle AgedPredictive Value of TestsPrognosisStroke VolumeVentricular Function, LeftContrast MediaGadoliniumCMRfeature-trackingleft atrialSScstrainventricular

Identifiers

PMID35482539
PMCPMC9910570
OpenAlexW4225090159

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.