Evidence map›Paper›PMID 32934608›Full record

ArticleJournal of interventional cardiology2020

Analysis of Atrial Fibrillation Treatment Regimes in a Multicenter Cohort of Transcatheter Edge-to-Edge Mitral Valve Repair Patients.

Christian Waechter, Felix Ausbuettel, Georgios Chatzis, Dieter Fischer, Holger Nef, Sebastian Barth, Philipp Halbfaß, Thomas Deneke, Sebastian Kerber, Dimitar Divchev and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of interventional cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Review
  8. 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

12 authors at 4 institutions in 1 country.

Christian WaechterDepartment of Cardiology, University Hospital, Marburg, Germany.
Felix AusbuettelDepartment of Cardiology, University Hospital, Marburg, Germany.
Georgios ChatzisDepartment of Cardiology, University Hospital, Marburg, Germany.
Dieter FischerDepartment of Cardiology, Cardiovascular Center, Rotenburg, Fulda, Germany.
Holger NefDepartment of Cardiology, Cardiovascular Center, Rotenburg, Fulda, Germany.
Sebastian BarthDepartment of Cardiology, Cardiovascular Center, Bad Neustadt, Saale, Germany.
Philipp HalbfaßDepartment of Cardiology, Cardiovascular Center, Bad Neustadt, Saale, Germany.
Thomas DenekeDepartment of Cardiology, Cardiovascular Center, Bad Neustadt, Saale, Germany.
Sebastian KerberDepartment of Cardiology, Cardiovascular Center, Bad Neustadt, Saale, Germany.
Dimitar DivchevDepartment of Cardiology, University Hospital, Marburg, Germany.
Bernhard SchiefferDepartment of Cardiology, University Hospital, Marburg, Germany.
Ulrich LuesebrinkDepartment of Cardiology, University Hospital, Marburg, Germany.ORCID https://orcid.org/0000-0002-7588-1602
Philipps University of Marburg · DERhön-Klinikum · DECardiovascular Center Frankfurt · DEUniversitätsklinikum Gießen und Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is a highly prevalent comorbidity in patients with severe mitral valve regurgitation (MR). Recent studies show a deleterious outcome of patients with concomitant AF after transcatheter mitral valve repair (TMVR). This underlines the essential need for additional strategies that ameliorate the prognosis of these patients. Fundamental data on AF characteristics and treatment regimes in this special cohort of patients are lacking.

methodsWe retrospectively analyzed the data of 542 consecutive patients with severe MR undergoing TMVR in three tertiary heart centers with special focus on AF type and underlying treatment strategies.

resultsThe prevalence of concomitant AF was 73.3%, and AF did not affect the procedural success or the incidence of major adverse cardiac and cerebrovascular events. The patients with AF were more frequently >75 years, had more tricuspid regurgitation, and less coronary artery disease than non-AF patients. The distribution of AF types was 32% paroxysmal AF, 27% persistent AF, and 41% permanent AF. Except for a higher degree in severe tricuspid regurgitation and a higher likelihood of male sex, no substantial differences were observed while comparing permanent and nonpermanent AF patients. The predominant treatment regime was rate control (57%), with only beta blockers (BB) in the majority of persistent and permanent AF patients, while additional digitalis or a pacemaker was used infrequently. Rhythm control was mainly achieved with BB alone in paroxysmal AF patients and with additional antiarrhythmic drugs in the majority of persistent AF patients. Interventional rhythm control therapy was performed in 2.5% and 30.9% of paroxysmal and persistent AF patients, respectively. The guideline-adherent use of oral anticoagulants was comparable and high in both groups (91.9% in nonpermanent vs. 90.1% in permanent AF).

conclusionThis is the first study to provide necessary information for the understanding of the current clinical practice in dealing with TMVR patients. Since evidence suggests that AF is not a benign concomitant disease, further investigations are needed to assess the prognostic impact of these different AF treatment strategies.

Indexed as

Anti-Arrhythmia AgentsAnticoagulantsAtrial FibrillationMitral Valve AnnuloplastyMitral Valve InsufficiencyAgedCardiac CatheterizationComorbidityFemaleHumansMaleMedication Therapy ManagementPrognosisRisk FactorsTreatment OutcomeAnti-Arrhythmia AgentsAnticoagulants

Identifiers

PMID32934608
PMCPMC7474750
OpenAlexW3082463344

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.