Evidence map›Paper›PMID 37845083›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2023

Optimising prediction of mortality, stroke, and major bleeding for patients with atrial fibrillation: validation of the GARFIELD-AF tool in UK primary care electronic records.

Patricia N Apenteng, David Prieto-Merino, Siew Wan Hee, Trudie Ca Lobban, Rishi Caleyachetty, David A Fitzmaurice

Abstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Patricia N ApentengInstitute of Applied Health Research, University of Birmingham, Birmingham, UK; Warwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0003-0835-3495
David Prieto-MerinoFaculty of Medicine, University of Alcala, Madrid, Spain.ORCID 0000-0001-5001-0061
Siew Wan HeeWarwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0002-0415-263X
Trudie Ca LobbanAF Association and Arrhythmia Alliance, Winchester, UK.ORCID 0000-0002-1655-0387
Rishi CaleyachettyWarwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0002-9282-7958
David A FitzmauriceWarwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0002-9104-6252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe GARFIELD-AF tool is a novel risk tool that simultaneously assesses the risk of all-cause mortality, stroke or systemic embolism, and major bleeding in patients with atrial fibrillation (AF).

aimTo validate the GARFIELD-AF tool using UK primary care electronic records. DESIGN AND

settingA retrospective cohort study using the Clinical Practice Research Datalink (CPRD) linked with Hospital Episode Statistics data and Office for National Statistics mortality data.

methodDiscrimination was evaluated using the area under the curve (AUC) and calibration was evaluated using calibration-in-the-large regression and calibration plots.

resultsA total of 486 818 patients aged ≥18 years with incident diagnosis of non-valvular AF between 2 January 1998 and 31 July 2020 were included; 50.6% (

conclusionThe GARFIELD-AF models were superior to the CHA

Indexed as

Atrial FibrillationStrokeAdolescentAdultAnticoagulantsElectronicsHemorrhageHumansPrimary Health CareRegistriesRetrospective StudiesRisk AssessmentRisk FactorsUnited KingdomAnticoagulantsall-cause mortalityanticoagulationatrial fibrillationbleedingrisk stratificationstroke

Identifiers

PMID37845083
PMCPMC10587901

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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.