Evidence map›Paper›PMID 31719095›Full record

ArticleBMJ open2019

GARFIELD-AF model for prediction of stroke and major bleeding in atrial fibrillation: a Danish nationwide validation study.

Frederik Dalgaard, Karen Pieper, Freek Verheugt, A John Camm, Keith Aa Fox, Ajay K Kakkar, Jannik L Pallisgaard, Peter V Rasmussen, Henk van Weert, Tommi Bo Lindhardt and 4 more

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Comprehensive comparison of stroke risk score performance: a systematic review and meta-analysis among 6 267 728 patients with atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2022
    Pooled it
  4. Observational
  5. Article
  6. Article
  7. Article
  8. A new score with superior stroke risk prediction in atrial fibrillation: entropy-based information gain approaches in a large nationwide cohort.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Integrated Care in Atrial Fibrillation: A Road Map to the Future.Circulation. Cardiovascular quality and outcomes · 2021
    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

14 authors.

Frederik DalgaardCardiology, Gentofte Hospital, Hellerup, Copenhagen, Denmark fdalgaard87@gmail.com.ORCID 0000-0002-7287-4191
Karen PieperDuke Clinical Research Institute, Duke University, Durham, United States.
Freek VerheugtOnze Lieve Vrouwe Gasthuis, Amsterdam, Noord-Holland, the Netherlands.
A John CammDepartment of Cardiology, University of London St George's Molecular and Clinical Sciences Research Institute, London, UK.
Keith Aa FoxCardiology, University of Edinburgh and Royal Infirmary of Edinburgh, Edinburgh, UK.
Ajay K KakkarDepartment of Clinical Research, Thrombosis Research Institute, London, UK.
Jannik L PallisgaardDepartment of Cardiology, Bispebjerg Hospital, Kobenhavn, Denmark.
Peter V RasmussenCardiology, Gentofte Hospital, Hellerup, Copenhagen, Denmark.ORCID 0000-0002-4593-3854
Henk van WeertDepartment of General Practice, Amsterdam UMC, Amsterdam Public Health and Amsterdam Cardiovascular Sciences Research Institutes, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
Tommi Bo LindhardtCardiology, Gentofte Hospital, Hellerup, Copenhagen, Denmark.
Christian Torp-PedersenCardiology, Gentofte Hospital, Hellerup, Copenhagen, Denmark.
Gunnar H GislasonCardiology, Gentofte Hospital, Hellerup, Copenhagen, Denmark.
Martin H RuwaldCardiology, Gentofte Hospital, Hellerup, Copenhagen, Denmark.ORCID 0000-0002-1541-309X
Ralf E HarskampDepartment of General Practice, Amsterdam UMC, Amsterdam Public Health and Amsterdam Cardiovascular Sciences Research Institutes, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo externally validate the accuracy of the Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) model against existing risk scores for stroke and major bleeding risk in patients with non-valvular AF in a population-based cohort.

designRetrospective cohort study.

settingDanish nationwide registries.

participants90 693 patients with newly diagnosed non-valvular AF were included between 2010 and 2016, with follow-up censored at 1 year. PRIMARY AND SECONDARY OUTCOME MEASURES: External validation was performed using discrimination and calibration plots. C-statistics were compared with CHA

resultsOf the 90 693 included, 51 180 patients received oral anticoagulants (OAC). Overall median age (Q1, Q3) were 75 (66-83) years and 48 486 (53.5%) were male. At 1-year follow-up, a total of 2094 (2.3%) strokes/SE, 2642 (2.9%) major bleedings and 10 915 (12.0%) deaths occurred. The GARFIELD-AF model was well calibrated with the predicted risk for stroke/SE and major bleeding. The discriminatory value of GARFIELD-AF risk model was superior to CHA

conclusionIn a nationwide Danish cohort with non-valvular AF, the GARFIELD-AF model adequately predicted the risk of ischaemic stroke/SE and major bleeding. Our external validation confirms that the GARFIELD-AF model was superior to CHA

Indexed as

AgedAged, 80 and overAnticoagulantsAtrial FibrillationDenmarkFemaleHemorrhageHumansKaplan-Meier EstimateMaleModels, StatisticalRetrospective StudiesStrokeAnticoagulantscardiologypacing & electrophysiologystroke

Identifiers

PMID31719095
PMCPMC6858250

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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.