Evidence map›Paper›PMID 30206274›Full record

ArticleScientific reports2018

Cardiac magnetic resonance using late gadolinium enhancement and atrial T1 mapping predicts poor outcome in patients with atrial fibrillation after catheter ablation therapy.

Julian A Luetkens, Anne C Wolpers, Thomas Beiert, Daniel Kuetting, Darius Dabir, Rami Homsi, Hendrik Meendermann, Natalie Abou Dayé, Vincent Knappe, Morten Karsdal and 9 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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.

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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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  16. Multiparametric cardiovascular magnetic resonance imaging in acute myocarditis: a comparison of different measurement approaches.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2019
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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

19 authors at 2 institutions in 2 countries.

Julian A LuetkensDepartment of Radiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany. julian.luetkens@ukbonn.de.
Anne C WolpersDepartment of Internal Medicine II, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Thomas BeiertDepartment of Internal Medicine II, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Daniel KuettingDepartment of Radiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Darius DabirDepartment of Radiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Rami HomsiDepartment of Radiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Hendrik MeendermannDepartment of Internal Medicine II, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Natalie Abou DayéDepartment of Internal Medicine II, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Vincent KnappeDepartment of Internal Medicine II, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Morten KarsdalFibrosis Biology and Biomarkers, Nordic Bioscience, Herlev, Denmark.
Signe H NielsenFibrosis Biology and Biomarkers, Nordic Bioscience, Herlev, Denmark.
Federica GenoveseFibrosis Biology and Biomarkers, Nordic Bioscience, Herlev, Denmark.
Florian StöckigtDepartment of Internal Medicine II, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Markus LinhartDepartment of Internal Medicine II, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Daniel ThomasDepartment of Radiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Georg NickenigDepartment of Internal Medicine II, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Hans H SchildDepartment of Radiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
Jan W SchrickelDepartment of Internal Medicine II, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
René P AndriéDepartment of Internal Medicine II, University Hospital Bonn, Rheinische Friedrich-Wilhelms University, Bonn, Germany.
University Hospital Bonn · DENordic Bioscience (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine the pre-procedural value of different fibrotic biomarkers and comprehensive cardiac magnetic resonance (CMR) for the prediction of poor response to ablation therapy in patients with atrial fibrillation (AF). Left atrial (LA) late gadolinium enhancement (LGE) and native LA T1 relaxation times were assessed using CMR. Plasma levels of relaxin, myeloperoxidase and serum levels of matrix metalloproteinase (MMP)-mediated cardiac specific titin fragmentation and MMP-mediated type IV collagen degradation were obtained. Poor outcome was defined by the recurrence of AF during 1-year follow-up. 61 patients were included in final analysis. Twenty (32.8%) patients had recurrence of AF. Patients with a recurrence of AF had a higher percentage of LA LGE (26.7 ± 12.5% vs. 17.0 ± 7.7%; P < 0.001), higher LA T1 relaxation times (856.7 ± 112.2 ms vs. 746.8 ± 91.0 ms; P < 0.001) and higher plasma levels of relaxin (0.69 ± 1.34 pg/ml vs. 0.37 ± 0.88 pg/ml; P = 0.035). In the multivariate Cox regression analysis, poor ablation outcome was best predicted by advanced LGE stage (hazard ratio (HR):5.487; P = 0.001) and T1 relaxation times (HR:1.007; P = 0.001). Pre-procedural CMR is a valuable tool for prediction of poor response to catheter ablation therapy in patients with AF. It offers various imaging techniques for outcome prediction and might be valuable for a better patient selection prior to ablation therapy.

Indexed as

AdultAgedAged, 80 and overAtrial FibrillationCatheter AblationCollagen Type IVConnectinContrast MediaFemaleFibrosisGadoliniumHeart AtriaHumansMagnetic Resonance ImagingMaleMatrix MetalloproteinasesCollagen Type IVConnectinContrast MediaGadoliniumMatrix MetalloproteinasesPeroxidaseRelaxin

Identifiers

PMID30206274
PMCPMC6134059
OpenAlexW2891361549

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.