Evidence map›Paper›PMID 42391144›Full record

ArticleCerebrovascular diseases extra2026

Demographic Refinement and Atrial Fibrillation Type in Stroke Risk Stratification beyond CHA

Karim M Mahawish, Rita V Krishnamurthi, Suzanne Barker-Collo, Annamarei Ranta, Derrick Bennett, Irene Suilen Zeng, Valery Feigin, Harvey White

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Cerebrovascular diseases extra, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Karim M MahawishStroke Department, Te Whatu Ora Counties Health, Auckland, New Zealand, tyj9598@autuni.ac.nz.
Rita V KrishnamurthiNational Institute for Stroke and Applied Neurosciences, School of Community and Public Health, Auckland University of Technology, Auckland, New Zealand.
Suzanne Barker-ColloClinical Training Programme, School of Psychology, The University of Auckland/Waipapa Taumata Rau, Auckland, New Zealand.
Annamarei RantaMedicine, University of Otago - Wellington, Wellington, New Zealand.
Derrick BennettNuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK.
Irene Suilen ZengBiostatistics, Clinical Science Management, Faculty of Health and Environmental Science, Auckland University of Technology, Auckland, New Zealand.
Valery FeiginNational Institute for Stroke and Applied Neurosciences, School of Community and Public Health, Auckland University of Technology, Auckland, New Zealand.
Harvey WhiteGreen Lane Cardiovascular Service, Health New Zealand - Te Whatu Ora, Te Toka Tumai, Auckland City Hospital, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe CHA

methodsWe conducted a retrospective nested case-control study of patients with AF diagnosed prior to the fifth Auckland Regional Community Stroke Study (September 2020-August 2021). Cases with ischaemic stroke or transient ischaemic attack were identified from this population-based registry with central adjudication. Controls were randomly selected from the National Minimum Dataset, stratified by ethnicity. Predictors included CHA

resultsThe study included 1,908 patients (300 cases). A logistic regression model using standard CHA

conclusionDemographic refinements, including ethnicity, provide limited incremental value beyond CHA

Indexed as

Atrial FibrillationDecision Support TechniquesIschemic Attack, TransientIschemic StrokeStrokeAgedAged, 80 and overAge FactorsCase-Control StudiesFemaleHumansMaleMiddle AgedNew ZealandPredictive Value of TestsPrognosisAtrial fibrillationIschaemic strokeRisk predictionTransient ischaemic attack

Identifiers

PMID42391144
PMCPMC13450985

What OpenQuestion holds

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LicenceCC BY-NC
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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.