Evidence map›Paper›PMID 38630693›Full record

ArticlePloS one2024

Clinical practice of continuous rhythm monitoring after embolic stroke of undetermined source.

Aenne Solvejg von Falkenhausen, Johannes Wischmann, Linus M Keidel, Antonia M Kellnar, Raffael Thaler, Korbinian Lackermair, Heidi L Estner, Günter Höglinger, Steffen Massberg, Stefan Kääb and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. 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, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

12 authors at 1 institution in 1 country.

Aenne Solvejg von FalkenhausenDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0001-9453-3016
Johannes WischmannDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.
Linus M KeidelDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.
Antonia M KellnarDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.
Raffael ThalerDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.
Korbinian LackermairDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.
Heidi L EstnerDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.
Günter HöglingerDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0001-7587-6187
Steffen MassbergDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.
Stefan KääbDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0001-8824-3581
Lars KellertDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.
Moritz F SinnerDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.
LMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsEmbolic stroke of undetermined source (ESUS) accounts for up to 20% of ischemic strokes annually. Undetected atrial fibrillation (AF) is one important potential underlying cause. For AF, oral anticoagulation has evolved as the most preferable means of secondary stroke prevention. To detect unrecognized paroxysmal AF, long-term ECG monitoring is required, and implantable cardiac monitors (ICM) appear most suitable. Yet, ICMs are particularly costly, implantation is invasive, and remote monitoring places a personnel burden on health care providers. Here, we use data from a large cohort of ESUS patients to systematically analyze the effort of ICM remote monitoring for AF diagnosis and the strain on health care providers. METHODS AND

resultsFrom a prospective, single-center, observational ESUS registry, we analyzed all ICM-equipped patients post-ESUS (n = 172) between January 1st, 2018, and December 31st, 2019. Through January 2nd, 2023, 48 patients (27.9%) were diagnosed with AF by ICM remote monitoring. During follow-up, a total of 29,180 remote monitoring episodes were transmitted, of which 17,742 were alarms for AF. A systematic estimation of workload revealed that on average, 20.3 trained physician workhours are required to diagnose one patient with AF.

conclusionICM remote monitoring is useful to diagnose AF in cohort of post-ESUS patients. However, the number of ICM alarms is high, even in a cohort at known high risk of AF and in whom AF detection is therapeutically consequential. Improved automated event classification, clear recommendations for ICM interrogation after AF diagnosis, and a careful patient selection for ICM monitoring are warranted.

Indexed as

Atrial FibrillationEmbolic StrokeStrokeHumansProspective StudiesRisk Factors

Identifiers

PMID38630693
PMCPMC11023399
OpenAlexW4394892553

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.