Evidence map›Paper›PMID 37238643›Full record

ReviewBiomolecules2023

Cardiac Imaging Biomarkers in Chronic Kidney Disease.

Silvia C Valbuena-López, Giovanni Camastra, Luca Cacciotti, Eike Nagel, Valentina O Puntmann, Luca Arcari

Registry-linked trialAbstract readReview
In one paragraph

Review in Biomolecules, 2023. 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

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

10 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. 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

6 authors.

Silvia C Valbuena-LópezDepartment of Cardiology, University Hospital La Paz, 28046 Madrid, Spain.ORCID 0000-0002-6252-4390
Giovanni CamastraCardiology Unit, Madre Giuseppina Vannini Hospital, 00177 Rome, Italy.ORCID 0000-0002-4865-0454
Luca CacciottiCardiology Unit, Madre Giuseppina Vannini Hospital, 00177 Rome, Italy.
Eike NagelInstitute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
Valentina O PuntmannInstitute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
Luca ArcariCardiology Unit, Madre Giuseppina Vannini Hospital, 00177 Rome, Italy.ORCID 0000-0003-1410-6845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uremic cardiomyopathy (UC), the peculiar cardiac remodeling secondary to the systemic effects of renal dysfunction, is characterized by left ventricular (LV) diffuse fibrosis with hypertrophy (LVH) and stiffness and the development of heart failure and increased rates of cardiovascular mortality. Several imaging modalities can be used to obtain a non-invasive assessment of UC by different imaging biomarkers, which is the focus of the present review. Echocardiography has been largely employed in recent decades, especially for the determination of LVH by 2-dimensional imaging and diastolic dysfunction by pulsed-wave and tissue Doppler, where it retains a robust prognostic value; more recent techniques include parametric assessment of cardiac deformation by speckle tracking echocardiography and the use of 3D-imaging. Cardiac magnetic resonance (CMR) imaging allows a more accurate assessment of cardiac dimensions, including the right heart, and deformation by feature-tracking imaging; however, the most evident added value of CMR remains tissue characterization. T1 mapping demonstrated diffuse fibrosis in CKD patients, increasing with the worsening of renal disease and evident even in early stages of the disease, with few, but emerging, prognostic data. Some studies using T2 mapping highlighted the presence of subtle, diffuse myocardial edema. Finally, computed tomography, though rarely used to specifically assess UC, might provide incidental findings carrying prognostic relevance, including information on cardiac and vascular calcification. In summary, non-invasive cardiovascular imaging provides a wealth of imaging biomarkers for the characterization and risk-stratification of UC; integrating results from different imaging techniques can aid a better understanding of the physiopathology of UC and improve the clinical management of patients with CKD.

Indexed as

CardiomyopathiesRenal Insufficiency, ChronicBiomarkersFibrosisHeartHumansBiomarkerscardiac magnetic resonanceChronic kidney diseasemyocardial fibrosisT1 mappingT2 mappinguremic cardiomyopathy

Identifiers

PMID37238643
PMCPMC10216582

What OpenQuestion holds

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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.