Evidence map›Paper›PMID 36094573›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2023

GARFIELD-AF: risk profiles, treatment patterns and 2-year outcomes in patients with atrial fibrillation in Germany, Austria and Switzerland (DACH) compared to 32 countries in other regions worldwide.

Sylvia Haas, John A Camm, Darius Harald, Jan Steffel, Saverio Virdone, Karen Pieper, Marianne Brodmann, Sebastian Schellong, Frank Misselwitz, Gloria Kayani and 2 more

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In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Catheter based left atrial appendage closure in-hospital outcomes in Germany from 2016 to 2020.Clinical research in cardiology : official journal of the German Cardiac Society · 2024
    Article
  7. Article
  8. Review
  9. 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

12 authors at 10 institutions in 4 countries.

Sylvia HaasFormerly Technical University of Munich, Munich, Germany. sylvia@sylviahaas.com.ORCID http://orcid.org/0000-0003-0837-7892
John A CammClinical Academic Group, Molecular and Clinical Sciences Institute, St. George's University of London, London, UK.
Darius HaraldFormerly Vivantes Netzwerk Für Gesundheit, Berlin, Germany.
Jan SteffelUniversity Hospital, Zurich and University of Zurich, Zurich, Switzerland.
Saverio VirdoneThrombosis Research Institute, London, UK.
Karen PieperThrombosis Research Institute, London, UK.
Marianne BrodmannDivision of Angiology, Medical University Graz, Graz, Austria.
Sebastian SchellongMedical Director, Municipal Hospital Dresden, Dresden, Germany.
Frank Misselwitz, Wielandtstraße 15, 69120, Heidelberg, Germany.
Gloria KayaniThrombosis Research Institute, London, UK.
Ajay K KakkarThrombosis Research Institute, London, UK.
GARFIELD-AF Investigators
Medical University of Graz · ATWieland (Germany) · DESt George's, University of London · GBThrombosis Research Institute · GBUniversity of Zurich · CHStädtisches Klinikum Dresden · DETechnical University of Munich · DEVivantes Klinikum · DESylvia Lawry Centre for Multiple Sclerosis Research · DEHeidelberg Engineering (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) is a worldwide non-interventional study of stroke prevention in patients with non-valvular AF. METHODS AND

results52,080 patients with newly diagnosed AF were prospectively enrolled from 2010 to 2016. 4121 (7.9%) of these patients were recruited in DACH [Germany (n = 3567), Austria (n = 465) and Switzerland (n = 89) combined], and 47,959 patients were from 32 countries in other regions worldwide (ORW). Hypertension was most prevalent in DACH and ORW (85.3% and 75.6%, respectively). Diabetes, hypercholesterolaemia, carotid occlusive disease and vascular disease were more prevalent in DACH patients vs ORW (27.6%, 49.4%, 5.8% and 29.0% vs 21.7%, 40.9%, 2.8% and 24.5%). The use of non-vitamin K antagonist oral anticoagulants (NOACs) increased more in DACH over time. Management of vitamin K antagonists was suboptimal in DACH and ORW (time in therapeutic range of INR ≥ 65% in 44.6% and 44.4% of patients or ≥ 70% in 36.9% and 36.0% of patients, respectively). Adjusted rates of cardiovascular mortality and MI/ACS were higher in DACH while non-haemorrhagic stroke/systemic embolism was lower after 2-year follow-up.

conclusionsSimilarities and dissimilarities in AF management and clinical outcomes are seen in DACH and ORW. The increased use of NOAC was associated with a mismatch of risk-adapted anticoagulation (over-and-undertreatment) in DACH. Suboptimal control of INR requires educational activities in both regional groups. Higher rates of cardiovascular death in DACH may reflect the higher risk profile of these patients and lower rates of non-haemorrhagic stroke could be associated with increased NOAC use.

Indexed as

Atrial FibrillationStrokeAdministration, OralAnticoagulantsAustriaCyclohexylaminesHumansRegistriesRisk FactorsSwitzerland1,2-cyclohexanediamineAnticoagulantsCyclohexylaminesAtrial fibrillationGARFIELD-AFNon-vitamin K antagonist oral anticoagulantsOral anticoagulationPhenprocoumonVitamin K antagonists

Identifiers

PMID36094573
OpenAlexW4295269147

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.