Evidence map›Paper›PMID 40324357›Full record

ArticleNeuroepidemiology2026

Methods Article for a Study Protocol: Refining Stroke Prediction in Atrial Fibrillation Patients in an Ethnically Diverse Population - A Study Protocol.

Karim M Mahawish, Irene Zeng, Harvey White, Valery Feigin, Rita Krishnamurthi

Abstract read
In one paragraph

Article in Neuroepidemiology, 2026. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Karim M MahawishStroke Department, Te Whatu Ora Counties Health, Auckland, New Zealand, tyj9598@aut.ac.nz.
Irene ZengSchool of Clinical Science, Faculty of Health and Environmental Science, Auckland University of Technology, Auckland, New Zealand.
Harvey WhiteCoronary Care and Cardiovascular Research, Auckland City Hospital, Green Lane Cardiovascular Service, Auckland, New Zealand.
Valery FeiginNational Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.
Rita KrishnamurthiNational Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Background: Atrial fibrillation (AF) increases ischaemic stroke (IS) risk, which can be mitigated using risk prediction models to guide anticoagulation decisions. The resultant widespread use of anticoagulants has reduced IS rates globally. However, commonly used risk prediction scores were validated in mainly European cohorts. Cardiology society guidelines recommend the local refinement of such risk scores to improve risk prediction. This study aims (1) to determine trends in the prevalence of AF in IS in Auckland, (2) to perform a validation study of the CHA

Indexed as

Atrial FibrillationIschemic StrokeStrokeAgedAnticoagulantsEthnicityFemaleHumansMaleNew ZealandPrevalenceRegistriesRisk AssessmentRisk FactorsAnticoagulantsAnticoagulant failureAtrial fibrillationIschaemic strokeModel performanceRisk prediction

Identifiers

PMID40324357
PMCPMC12165625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.