Evidence map›Paper›PMID 37429702›Full record

ArticleOpen heart2023

Incident cardiovascular, renal, metabolic diseases and death in individuals identified for risk-guided atrial fibrillation screening: a nationwide cohort study.

Jianhua Wu, Ramesh Nadarajah, Yoko M Nakao, Kazuhiro Nakao, David Hogg, Keerthenan Raveendra, Ronen Arbel, Moti Haim, Doron Zahger, Campbel Cowan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Open heart, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

11 authors at 5 institutions in 3 countries.

Jianhua WuSchool of Dentistry, University of Leeds, Leeds, UK.
Ramesh NadarajahLeeds Institute of Data Analytics, University of Leeds, Leeds, UK r.nadarajah@leeds.ac.uk.ORCID http://orcid.org/0000-0001-9895-9356
Yoko M NakaoLeeds Institute of Data Analytics, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0002-3627-5626
Kazuhiro NakaoDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.ORCID http://orcid.org/0000-0002-9034-3976
David HoggSchool of Computing, University of Leeds, Leeds, UK.
Keerthenan RaveendraMedical School, University of Leeds, Leeds, UK.
Ronen ArbelSapir College, Hof Ashkelon, Israel.
Moti HaimDepartment of Cardiology, Soroka University Medical Center, Beer Sheva, Israel.
Doron ZahgerDepartment of Cardiology, Soroka University Medical Center, Beer Sheva, Israel.
Campbel CowanDepartment of Cardiology, Leeds General Infirmary, Leeds, UK.
Chris P GaleLeeds Institute of Data Analytics, University of Leeds, Leeds, UK.
University of Leeds · GBLeeds General Infirmary · GBBen-Gurion University of the Negev · ILNational Cerebral and Cardiovascular Center · JPSapir College · IL

Funding

British Heart Foundation FS/20/12/34789
6 · The paper itself

Abstract

objectiveRisk-guided atrial fibrillation (AF) screening may be an opportunity to prevent adverse events in addition to stroke. We compared events rates for new diagnoses of cardio-renal-metabolic diseases and death in individuals identified at higher versus lower-predicted AF risk.

methodsFrom the UK Clinical Practice Research Datalink-GOLD dataset, 2 January 1998-30 November 2018, we identified individuals aged ≥30 years without known AF. The risk of AF was estimated using the FIND-AF (Future Innovations in Novel Detection of Atrial Fibrillation) risk score. We calculated cumulative incidence rates and fit Fine and Gray's models at 1, 5 and 10 years for nine diseases and death adjusting for competing risks.

resultsOf 416 228 individuals in the cohort, 82 942 were identified as higher risk for AF. Higher-predicted risk, compared with lower-predicted risk, was associated with incident chronic kidney disease (cumulative incidence per 1000 persons at 10 years 245.2; HR 6.85, 95% CI 6.70 to 7.00; median time to event 5.44 years), heart failure (124.7; 12.54, 12.08 to 13.01; 4.06), diabetes mellitus (123.3; 2.05, 2.00 to 2.10; 3.45), stroke/transient ischaemic attack (118.9; 8.07, 7.80 to 8.34; 4.27), myocardial infarction (69.6; 5.02, 4.82 to 5.22; 4.32), peripheral vascular disease (44.6; 6.62, 6.28 to 6.98; 4.28), valvular heart disease (37.8; 6.49, 6.14 to 6.85; 4.54), aortic stenosis (18.7; 9.98, 9.16 to 10.87; 4.41) and death from any cause (273.9; 10.45, 10.23 to 10.68; 4.75). The higher-risk group constituted 74% of deaths from cardiovascular or cerebrovascular causes (8582 of 11 676).

conclusionsIndividuals identified for risk-guided AF screening are at risk of new diseases across the cardio-renal-metabolic spectrum and death, and may benefit from interventions beyond ECG monitoring.

Indexed as

Aortic Valve StenosisAtrial FibrillationMetabolic DiseasesCohort StudiesHeartHumansHypertension, RenalNephritisAtrial FibrillationElectronic Health RecordsPRIMARY CARE

Identifiers

PMID37429702
PMCPMC10335593
OpenAlexW4383873189

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.