Evidence map›Paper›PMID 38878148›Full record

ArticleThe international journal of cardiovascular imaging2024

CMR-based cardiac phenotyping in different forms of heart failure.

Torben Lange, Sören J Backhaus, Alexander Schulz, Djawid Hashemi, Ruben Evertz, Johannes T Kowallick, Gerd Hasenfuß, Sebastian Kelle, Andreas Schuster

Abstract readComparative Study
In one paragraph

Article in The international journal of cardiovascular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
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  4. Review
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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

9 authors.

Torben LangeDepartment of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.
Sören J BackhausDepartment of Cardiology, Campus Kerckhoff of the Justus-Liebig-Universität Gießen, Kerckhoff-Clinic, Bad Nauheim, Germany.
Alexander SchulzDepartment of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.
Djawid HashemiDepartment of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, Berlin, Germany.
Ruben EvertzDepartment of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.
Johannes T KowallickGerman Centre of Cardiovascular Research (DZHK), partner site Lower Saxony, Göttingen, Germany.
Gerd HasenfußDepartment of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.
Sebastian KelleDepartment of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, Berlin, Germany.
Andreas SchusterDepartment of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany. andreas_schuster@gmx.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a heterogenous disease requiring precise diagnostics and knowledge of pathophysiological processes. Since structural and functional imaging data are scarce we hypothesized that cardiac magnetic resonance (CMR)-based analyses would provide accurate characterization and mechanistic insights into different HF groups comprising preserved (HFpEF), mid-range (HFmrEF) and reduced ejection fraction (HFrEF). 22 HFpEF, 17 HFmrEF and 15 HFrEF patients as well as 19 healthy volunteers were included. CMR image assessment contained left atrial (LA) and left ventricular (LV) volumetric evaluation as well as left atrioventricular coupling index (LACI). Furthermore, CMR feature-tracking included LV and LA strain in terms of reservoir (Es), conduit (Ee) and active boosterpump (Ea) function. CMR-based tissue characterization comprised T1 mapping as well as late-gadolinium enhancement (LGE) analyses. HFpEF patients showed predominant atrial impairment (Es 20.8%vs.25.4%, p = 0.02 and Ee 8.3%vs.13.5%, p = 0.001) and increased LACI compared to healthy controls (14.5%vs.23.3%, p = 0.004). Patients with HFmrEF showed LV enlargement but mostly preserved LA function with a compensatory increase in LA boosterpump (LA Ea: 15.0%, p = 0.049). In HFrEF LA and LV functional impairment was documented (Es: 14.2%, Ee: 5.4% p < 0.001 respectively; Ea: 8.8%, p = 0.02). This was paralleled by non-invasively assessed progressive fibrosis (T1 mapping and LGE; HFrEF > HFmrEF > HFpEF). CMR-imaging reveals insights into HF phenotypes with mainly atrial affection in HFpEF, ventricular affection with atrial compensation in HFmrEF and global impairment in HFrEF paralleled by progressive LV fibrosis. These data suggest a necessity for a personalized HF management based on imaging findings for future optimized patient management.

Indexed as

Atrial Function, LeftHeart FailureMagnetic Resonance Imaging, CinePhenotypePredictive Value of TestsStroke VolumeVentricular Function, LeftAdultAgedAtrial RemodelingCase-Control StudiesContrast MediaFemaleFibrosisHumansMaleContrast MediaCMR-based tissue characterizationCMR feature-trackingCMR imagingHeart failureLeft atrioventricular coupling indexMyocardial strain assessment

Identifiers

PMID38878148
PMCPMC11258094

What Socratic 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 Socratic graph.