Evidence map›Paper›PMID 39309666›Full record

ArticleJACC. Advances2024

DPD Quantification Correlates With Extracellular Volume and Disease Severity in Wild-Type Transthyretin Cardiac Amyloidosis.

René Rettl, Raffaella Calabretta, Franz Duca, Christina Kronberger, Christina Binder, Robin Willixhofer, Michael Poledniczek, Felix Hofer, Carolina Doná, Dietrich Beitzke and 8 more

Abstract read
In one paragraph

Article in JACC. Advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

18 authors.

René RettlDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Raffaella CalabrettaDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Franz DucaDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Christina KronbergerDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Christina BinderDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Robin WillixhoferDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Michael PoledniczekDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Felix HoferDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Carolina DonáDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Dietrich BeitzkeDivision of Cardiovascular and Interventional Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Christian LoeweDivision of Cardiovascular and Interventional Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Christian NitscheDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Christian HengstenbergDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Roza Badr EslamDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Johannes KastnerDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Jutta Bergler-KleinDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Marcus HackerDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Andreas A KammerlanderDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The pathophysiological hallmark of wild-type transthyretin amyloid cardiomyopathy (ATTRwt-CM) is the deposition of amyloid within the myocardium. Objectives: This study aimed to investigate associations between quantitative cardiac Methods: Forty ATTRwt-CM patients underwent quantitative DPD single photon emission computed tomography/computed tomography to determine the standardized uptake value (SUV) retention index, cardiac magnetic resonance imaging to determine extracellular volume (ECV) and cardiac function (RV-LS), and assessment of cardiac biomarkers (N-terminal prohormone of brain natriuretic peptide [NT-proBNP], troponin T) and clinical status (6-minute walk distance [6MWD], National Amyloidosis Centre [NAC] stage). ATTRwt-CM patients were divided into 2 cohorts based on median SUV retention index (low uptake: <5.19 mg/dL, n = 20; high uptake: ≥5.19 mg/dL, n = 20). Linear regression models were used to assess associations of the SUV retention index with variables of interest and the Mann-Whitney U or chi-squared test to compare variables between groups. Results: ATTRwt-CM patients (n = 40) were elderly (78.0 years) and predominantly male (75.0%). Univariable linear regression analyses revealed associations of the SUV retention index with ECV (r = 0.669, β = 0.139, Conclusions: In ATTRwt-CM, quantitative cardiac DPD uptake correlates with myocardial amyloid load, longitudinal cardiac function, cardiac biomarkers, exercise capacity, and disease stage, providing a valuable tool to quantify and monitor cardiac disease burden.

Indexed as

ATTR amyloidosisATTRwt-CMCMRECVSPECT/CT

Identifiers

PMID39309666
PMCPMC11416666

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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.