Evidence map›Paper›PMID 40931358›Full record

ArticleBMC emergency medicine2025

Recognition of stroke symptoms indicative of anterior circulation large-vessel occlusion via telephone and video calls: a simulation study.

Matthias L Herrmann, Simone Meier, Florian F Schuchardt, Max Henningsen, Nicole Wimmesberger, Diana Rau, Erik Farin-Glattacker, Jochen Brich

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. EDEN - Enhanced Dispatch for Efficient Neurointervention: mathematical model from national data.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026
    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.

Matthias L HerrmannDepartment of Neurology and Clinical Neuroscience, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany. matthias.herrmann.nlo@gmail.com.
Simone MeierDepartment of Neurology and Clinical Neuroscience, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Florian F SchuchardtDepartment of Neurology and Clinical Neuroscience, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Max HenningsenDepartment of Neurology and Clinical Neuroscience, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Nicole WimmesbergerSection of Health Care Research and Rehabilitation Research (SEVERA), Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Diana RauSection of Health Care Research and Rehabilitation Research (SEVERA), Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Erik Farin-GlattackerSection of Health Care Research and Rehabilitation Research (SEVERA), Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Jochen BrichDepartment of Neurology and Clinical Neuroscience, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying suspected anterior circulation large-vessel occlusion (aLVO) strokes during emergency calls could enhance dispatch efficiency, particularly in rural areas. However, data on emergency medical dispatchers' (EMDs) ability to recognize aLVO symptoms remain limited. This simulation study aimed to evaluate the feasibility of identifying side-specific arm paresis, side-specific conjugate eye deviation (CED), and aphasia during emergency calls by instructing layperson callers to perform brief, standardized examination steps. Two communication methods were compared: (1) telephone calls and (2) video calls.

methodsForty-eight laypersons interacted with simulated patients presenting various stroke syndromes. Simulated EMDs conducted standardized assessments during simulated emergency calls, guiding laypersons through patient examinations.

resultsIn 96 telephone-assisted and 95 video-assisted calls, EMDs identified aLVO stroke symptoms with high accuracy. In telephone calls, accuracy was 0.92 for side-specific arm paresis, 0.98 for side-specific CED, and 0.88-0.99 for aphasia. In video calls, accuracy was 0.97 for side-specific arm paresis, 0.97 for side-specific CED, and 0.94-1.00 for aphasia.

conclusionsThese findings suggest that EMDs can identify stroke symptoms indicative for aLVO via both telephone and video calls using a standardized dispatch protocol to guide lay bystanders. This study provides a foundation for future real-world research on implementing aLVO detection protocols in emergency dispatch.

Indexed as

Emergency Medical Service Communication SystemsStrokeTelephoneAdultAphasiaFeasibility StudiesFemaleHumansMaleMiddle AgedVideo RecordingEmergency control centerEmergency medical dispatchLarge vessel occlusionPrehospital triageStrokeVideo livestreaming

Identifiers

PMID40931358
PMCPMC12424218

What OpenQuestion holds

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LicenceCC BY
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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.