Evidence map›Paper›PMID 32166494›Full record

ArticleEuropean radiology2020

Prognostic value of cardiovascular magnetic resonance in patients with biopsy-proven systemic sarcoidosis.

Louis Flamée, Rolf Symons, Ganna Degtiarova, Tom Dresselaers, Olivier Gheysens, Wim Wuyts, Johan Van Cleemput, Jan Bogaert

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Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Screening for cardiac sarcoidosis: diagnostic approach and long-term follow-up in a tertiary centre.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2025
    Article
  6. Article
  7. Review
  8. Exploring the latest advances inAmerican journal of nuclear medicine and molecular imaging · 2024
    Review
  9. Article
  10. Article
  11. T2 mapping in myocardial disease: a comprehensive review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Review
  12. Review
  13. Article
  14. Review
  15. 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

8 authors.

Louis FlaméeDepartment of Radiology, University Hospitals Leuven, Leuven, Belgium.
Rolf SymonsDepartment of Radiology, University Hospitals Leuven, Leuven, Belgium.
Ganna DegtiarovaDepartment of Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Leuven, Belgium.
Tom DresselaersDepartment of Radiology, University Hospitals Leuven, Leuven, Belgium.
Olivier GheysensDepartment of Nuclear Medicine, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain (UCL), Brussels, Belgium.
Wim WuytsDepartment of Respiratory Medicine, University Hospitals Leuven, Leuven, Belgium.
Johan Van CleemputDepartment of Cardiovascular Sciences, KU Leuven, University of Leuven, Herestraat 49, Leuven, Belgium.
Jan BogaertDepartment of Radiology, University Hospitals Leuven, Leuven, Belgium. jan.bogaert@uzleuven.be.ORCID http://orcid.org/0000-0001-7495-9183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAs prognosis in sarcoidosis is determined by cardiac involvement, the objective was to study the added value of cardiovascular magnetic resonance (CMR) in risk stratification.

methodsIn 114 patients (48 ± 12 years/52% male) with biopsy-proven sarcoidosis, we studied the value of clinical and CMR-derived parameters to predict future events, using sustained ventricular tachycardia, ventricular fibrillation, aborted cardiac death, implantable cardioverter-defibrillator (ICD) placement with appropriate shocks, hospitalization for heart failure, and death as composite endpoint. Median follow-up after CMR was 3.1 years (1.1-5.7 years).

resultsThe ejection fraction (EF) was 58.2 ± 9.1% and 54.7 ± 10.8% for left ventricle (LV) and right ventricle (RV), respectively. LV late gadolinium enhancement (LGE) was present in 40 patients (35%) involving 5.1% of the LV mass (IQR, 3.0-12.0%), with concomitant RV involvement in 12 patients (11%). T2-weighting imaging and/or T2 mapping showed active disease in 14 patients. The composite endpoint was reached in 34 patients, with 7 deaths in the LGE-positive group (17.5%), versus two deaths in the LGE-negative group (2.7%) (p = 0.015). At univariate analysis, RVEF (p = 0.009), pulmonary arterial pressure (p = 0.002), and presence of LGE (p < 0.001) and LGE (% of LV) (p < 0.001) were significant. At multivariate analysis, only presence of LGE and LGE (% of LV) was significant (both p = 0.03). At Kaplan-Meier, presence of LGE and an LGE of 3% predicted event-free survival and patient survival. We found no difference in active versus inactive disease with regard to patient survival.

conclusionMyocardial enhancement at LGE-CMR adds independent prognostic value in risk stratification sarcoidosis patients. In contrast, clinical as well as functional cardiac parameters lack discriminative power. KEY POINTS: • Sarcoidosis often affects the heart. • Comprehensive CMR, including T2 imaging and LGE enhancement CMR, allows to depict both active and inactive myocardial damage. • Patient prognosis in sarcoidosis is determined by the presence and severity of myocardial involvement at LGE CMR.

Indexed as

AdultBiopsyCardiomyopathiesContrast MediaDefibrillators, ImplantableElectric CountershockFemaleGadolinium DTPAHeartHeart ArrestHeart FailureHeart VentriclesHospitalizationHumansMagnetic Resonance ImagingMagnetic Resonance Imaging, CineContrast MediagadobutrolGadolinium DTPAgadoterate meglumineMeglumineOrganometallic CompoundsHeartMagnetic resonance imagingSarcoidosisSurvival

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Registered trials

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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.