Evidence map›Paper›PMID 30090997›Full record

ReviewCurrent neurology and neuroscience reports2018

Detection of Atrial Fibrillation in Cryptogenic Stroke.

Karl Georg Haeusler, Serdar Tütüncü, Renate B Schnabel

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 48 citations in OpenAlex.

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  15. Low prevalence of atrial fibrillation in ischaemic stroke: Underestimating a modifiable risk factor.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2021
    Article
  16. Cardiac Imaging After Ischemic Stroke or Transient Ischemic Attack.Current neurology and neuroscience reports · 2020
    Review
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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

3 authors at 2 institutions in 1 country.

Karl Georg HaeuslerDepartment of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany. georg.haeusler@charite.de.
Serdar TütüncüCenter for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Hindenburgdamm 30, 12203, Berlin, Germany.
Renate B SchnabelAtrial Fibrillation NETwork (AFNET) e.V, Münster, Germany.
Charité - Universitätsmedizin Berlin · DEGerman Centre for Cardiovascular Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo summarize the literature on the detection of atrial fibrillation (AF) in patients with "cryptogenic" stroke, a cohort including about 25% of all ischemic stroke patients and patients with embolic stroke of undetermined source (ESUS). RECENT

findingsA first episode of AF is detected in up to one third of cryptogenic stroke and in up to one fourth of ESUS patients during long-term monitoring. AF prevalence correlates to patient selection, duration, and quality of ECG monitoring. Higher rates of AF were reported in stroke patients with left atrial pathology, specific ECG alterations, or increased natriuretic peptides. While AF detection impacts on medical stroke prevention in the vast majority of patients, patient selection for prolonged monitoring is largely left at the physician's discretion. AF detection after cryptogenic stroke or ESUS is a frequent, potentially causal condition. Whether subsequent oral anticoagulation may improve outcome remains open.

Indexed as

Atrial FibrillationEmbolismHumansRisk FactorsStrokeAtrial fibrillationCryptogenic strokeECG monitoringEmbolic stroke of undetermined sourceIschemic strokeStroke unit

Identifiers

PMID30090997
OpenAlexW2887596086

What OpenQuestion holds

Textmetadata
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.