Evidence mapPaperPMID 37021168Full record

SynthesisEuropean stroke journal2023

Molecular biomarkers predicting newly detected atrial fibrillation after ischaemic stroke or TIA: A systematic review.

Kirsty Ward, Andy Vail, Alan Cameron, Mira Katan, Gregory Yh Lip, Jesse Dawson, Craig J Smith, Amit K Kishore

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in European stroke journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

8 authors at 4 institutions in 3 countries.

Kirsty WardManchester Centre for Clinical Neurosciences, Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Salford Care organisation, Northern Care Alliance NHS Foundation Trust, UK.
Andy VailCentre for Biostatistics, University of Manchester, Manchester Academic Health Science Centre, UK.
Alan CameronInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0001-6965-1109
Mira KatanStroke Center/Dept. Of Neurology University Hospital and University of Basel, Switzerland.
Gregory Yh LipLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK.
Jesse DawsonInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0001-7532-2475
Craig J SmithManchester Centre for Clinical Neurosciences, Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Salford Care organisation, Northern Care Alliance NHS Foundation Trust, UK.
Amit K KishoreManchester Centre for Clinical Neurosciences, Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Salford Care organisation, Northern Care Alliance NHS Foundation Trust, UK.ORCID 0000-0003-1820-8697
Manchester Academic Health Science Centre · GBUniversity of Glasgow · GBUniversity of Basel · CHUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several molecular biomarkers are available that predict newly detected atrial fibrillation (NDAF). We aimed to identify such biomarkers that predict NDAF after an Ischaemic stroke (IS)/Transient Ischaemic Attack (TIA) and evaluate their performance. Methods: A systematic review was undertaken in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Studies of patients with IS, TIA, or both, who underwent ECG monitoring for ⩾24 h, which reported molecular biomarkers and frequency of NDAF after electronic searches of multiple databases were included. Results: Twenty-one studies (76% IS, 24% IS and TIA) involving 4640 patients were included. Twelve biomarkers were identified, with cardiac biomarkers evaluated in the majority (75%) of patients. Performance measures were inconsistently reported. Among cohorts selecting high-risk individuals (12 studies), the most studied biomarkers were N-Terminal-Pro Brain Natriuretic Peptide (NT-ProBNP, five studies; C-statistics reported by three studies, 0.69-0.88) and Brain Natriuretic Peptide (BNP, two studies; C-statistics reported in two studies, 0.68-0.77). Among unselected cohorts (nine studies), the most studied biomarker was BNP (six studies; C-statistics reported in five studies, 0.75-0.88). Only BNP was externally validated (two studies) but using different thresholds to categorise risk of NDAF. Conclusion: Cardiac biomarkers appear to have modest to good discrimination for predicting NDAF, although most analyses were limited by small, heterogeneous study populations. Their clinical utility should be explored further, and this review supports the need to assess the role of molecular biomarkers in large prospective studies with standardised selection criteria, definition of clinically significant NDAF and laboratory assays.

Indexed as

Atrial FibrillationBrain IschemiaIschemic Attack, TransientIschemic StrokeStrokeBiomarkersHumansProspective StudiesBiomarkersatrial fibrillationIschaemic strokemolecular biomarkertransient ischaemic attack

Identifiers

PMID37021168
PMCPMC10069198
OpenAlexW4311710877

What Socratic holds

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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 Socratic graph.