Evidence map›Paper›PMID 33145651›Full record

Observational studyJournal of neurology2021

Usefulness of a single-parameter tool for the prediction of large vessel occlusion in acute stroke.

Franck Leibinger, Thibaut Allou, Laurène Van Damme, Chawki Jebali, Caroline Arquizan, Geoffroy Farouil, Alexandre Laverdure, Nicolas Gaillard, Majo Ibanez, Philippe Smadja and 23 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of neurology, 2021. 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
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Prediction of acute neurovascular syndromes with prehospital clinical features witnessed by bystanders.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    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

33 authors at 4 institutions in 2 countries.

Franck Leibinger *Intensive Care Unit, Centre Hospitalier de Perpignan, Perpignan, France.
Thibaut AllouNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Laurène Van DammeNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Chawki JebaliEmergency Department, Centre Hospitalier de Perpignan, Perpignan, France.
Caroline ArquizanNeurology Department, Montpellier University Hospital, Montpellier, France.
Geoffroy FarouilRadiology Department, Centre Hospitalier de Perpignan, Perpignan, France.
Alexandre LaverdureEmergency Department, Centre Hospitalier de Perpignan, Perpignan, France.
Nicolas GaillardNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Majo IbanezNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Philippe SmadjaRadiology Department, Centre Hospitalier de Perpignan, Perpignan, France.
Anais DutrayNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Maxime TardieuRadiology Department, Centre Hospitalier de Perpignan, Perpignan, France.
Ludovic Nguyen ThemNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Ali OusjiEmergency Department, Centre Hospitalier de Perpignan, Perpignan, France.
Snejana JuriciNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Gregory GascouNeuroradiology Department, CHU Montpellier, Montpellier, France.
Zoubir Mourad BensalahRadiology Department, Centre Hospitalier de Perpignan, Perpignan, France.
Nadège OlivierNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Frederique DamonNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Wael ChaabaneEmergency Department, Centre Hospitalier de Perpignan, Perpignan, France.
Bénédicte FadatNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Marlène LachcarEmergency Department, Centre Hospitalier de Perpignan, Perpignan, France.
Julie MasNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Isabelle MourandNeurology Department, Montpellier University Hospital, Montpellier, France.
Adelaïde FerraroNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Didier HeveRegional Health Agency of Occitanie, Montpellier, France.
Adrian DumitranaNeurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France.
Jean-Christophe BlenetEmergency Department, Centre Hospitalier de Perpignan, Perpignan, France.
Sabine AptelRadiology Department, Centre Hospitalier de Perpignan, Perpignan, France.
Vincent CostalatNeuroradiology Department, CHU Montpellier, Montpellier, France.
Alain BonafeRadiology Department, Centre Hospitalier de Perpignan, Perpignan, France.
Laurent OrtegaEmergency Department, Centre Hospitalier de Perpignan, Perpignan, France.
Denis Sablot *Neurology Department, Centre Hospitalier de Perpignan, 20 avenue du Languedoc, BP 4052, 66046, Perpignan, France. denis.sablot@ch-perpignan.fr.ORCID http://orcid.org/0000-0002-9038-7119
Centre Hospitalier de Perpignan · FRUniversité de Montpellier · FRAgence Régionale de Santé Nouvelle-Aquitaine · FRCentre Hospitalier Universitaire de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn acute stroke, large vessel occlusion (LVO) should be promptly identified to guide patient's transportation directly to comprehensive stroke centers (CSC) for mechanical thrombectomy (MT). In many cases, prehospital multi-parameter scores are used by trained emergency teams to identify patients with high probability of LVO. However, in several countries, the first aid organization without intervention of skilled staff precludes the on-site use of such scores. Here, we assessed the accuracy of LVO prediction using a single parameter (i.e. complete hemiplegia) obtained by bystander's telephone-based witnessing. PATIENTS AND

methodsThis observational, single-center study included consecutive patients who underwent intravenous thrombolysis at the primary stroke center and/or were directly transferred to a CSC for MT, from January 1, 2015 to March 1, 2020. We defined two groups: patients with initial hemiplegia (no movement in one arm and leg and facial palsy) and patients without initial hemiplegia, on the basis of a bystander's witnessing.

resultsDuring the study time, 874 patients were included [mean age 73 years (SD 13.8), 56.7% men], 320 with initial hemiplegia and 554 without. The specificity of the hemiplegia criterion to predict LVO was 0.88, but its sensitivity was only 0.53.

conclusionOur results suggest that the presence of hemiplegia as witnessed by a bystander can predict LVO with high specificity. This single criterion could be used for decision-making about direct transfer to CSC for MT when the absence of emergency skilled staff precludes the patient's on-site assessment, especially in regions distant from a CSC.

Indexed as

Brain IschemiaEmergency Medical ServicesStrokeAgedEmergency Service, HospitalFemaleHumansMaleTriagePre-hospital triageStroke managementStroke unitThrombectomy

Identifiers

PMID33145651
OpenAlexW3096729226

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.