Evidence map›Paper›PMID 31304234›Full record

ArticleInternational journal of cardiology. Heart & vasculature2019

Aortic stiffness is independently associated with interstitial myocardial fibrosis by native T1 and accelerated in the presence of chronic kidney disease.

Mengzhen Chen, Luca Arcari, Juergen Engel, Tilo Freiwald, Steffen Platschek, Hui Zhou, Hafisyatul Zainal, Stefan Buettner, Andreas M Zeiher, Helmut Geiger and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03749551 (TowaRds Understanding the phEnoTYPEs of Cardiovascular Dysfunction in Patients With Chronic Kidney Disease and HaemoDialysis Using Cardiovascular Magnetic Resonance Imaging - TRUE-Type-CKD Study), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 6% 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.

NCT03749551 completednot on this map

TowaRds Understanding the phEnoTYPEs of Cardiovascular Dysfunction in Patients With Chronic Kidney Disease and HaemoDialysis Using Cardiovascular Magnetic Resonance Imaging - TRUE-Type-CKD Study

TypeobservationalSponsorJohann Wolfgang Goethe University HospitalRan2018 to 2021Enrolled276ConditionsHeart Failure, Cardiomyopathies, Chronic Kidney Diseases, Hypertrophy, Left VentricularArmscardiac magnetic resonance (CMR) post haemodialysis
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. TCardiac failure review · 2022
    Review
  7. Review
  8. Cardiac biomarkers in chronic kidney disease are independently associated with myocardial edema and diffuse fibrosis by cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
    Article
  9. Article
  10. Review
  11. 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

13 authors at 3 institutions in 4 countries.

Mengzhen ChenInstitute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
Luca ArcariInstitute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
Juergen EngelDepartment of Nephrology, Goethe University Hospital Frankfurt, Frankfurt-am Main, Germany.
Tilo FreiwaldDepartment of Nephrology, Goethe University Hospital Frankfurt, Frankfurt-am Main, Germany.
Steffen PlatschekDepartment of Nephrology, Goethe University Hospital Frankfurt, Frankfurt-am Main, Germany.
Hui ZhouInstitute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
Hafisyatul ZainalInstitute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
Stefan BuettnerDepartment of Nephrology, Goethe University Hospital Frankfurt, Frankfurt-am Main, Germany.
Andreas M ZeiherDepartment of Cardiology, Goethe University Hospital Frankfurt, Frankfurt-am Main, Germany.
Helmut GeigerDepartment of Nephrology, Goethe University Hospital Frankfurt, Frankfurt-am Main, Germany.
Ingeborg HauserDepartment of Nephrology, Goethe University Hospital Frankfurt, Frankfurt-am Main, Germany.
Eike NagelInstitute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
Valentina O PuntmannInstitute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
Goethe University Frankfurt · DEUniversity Hospital Frankfurt · DEXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with chronic kidney disease (CKD) have considerable cardiovascular morbidity and mortality. Aortic stiffness is an independent predictor of cardiovascular risk and related to left ventricular remodeling and heart failure. Myocardial fibrosis is the pathophysiological hallmark of the failing heart. METHODS AND

resultsAn observational study of consecutive CKD patients (

conclusionsAortic stiffness and interstitial myocardial fibrosis are interrelated; this association is accelerated in the presence of CKD, but independent of LGE. Our findings reiterate the significant contribution of CKD-related factors to the pathophysiology of cardiovascular remodeling.

Indexed as

Aortic stiffnessChronic kidney diseaseNative T1 mapping

Identifiers

PMID31304234
PMCPMC6599886
OpenAlexW2953680079

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.