Evidence map›Paper›PMID 32831019›Full record

ArticleBMC emergency medicine2020

Detailed severity assessment of Cincinnati Prehospital Stroke Scale to detect large vessel occlusion in acute ischemic stroke.

Gabor Tarkanyi, Peter Csecsei, Istvan Szegedi, Evelin Feher, Adam Annus, Tihamer Molnar, Laszlo Szapary

Open access · goldAbstract read
In one paragraph

Article in BMC emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Gabor TarkanyiDepartment of Neurology, University of Pecs, 13 Ifjusag utja, Pecs, 7624, Hungary.
Peter CsecseiDepartment of Neurology, University of Pecs, 13 Ifjusag utja, Pecs, 7624, Hungary.
Istvan SzegediDepartment of Neurology, University of Debrecen, Debrecen, Hungary.
Evelin FeherDepartment of Neurology, University of Szeged, Szeged, Hungary.
Adam AnnusDepartment of Neurology, University of Szeged, Szeged, Hungary.
Tihamer MolnarDepartment of Anaesthesiology and Intensive Therapy, University of Pecs, Pecs, Hungary.
Laszlo SzaparyDepartment of Neurology, University of Pecs, 13 Ifjusag utja, Pecs, 7624, Hungary. ptestroke@gmail.com.ORCID 0000-0002-4852-7149
University of Pecs · HUUniversity of Szeged · HUUniversity of Debrecen · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelecting stroke patients with large vessel occlusion (LVO) based on prehospital stroke scales could provide a faster triage and transportation to a comprehensive stroke centre resulting a favourable outcome. We aimed here to explore the detailed severity assessment of Cincinnati Prehospital Stroke Scale (CPSS) to improve its ability to detect LVO in acute ischemic stroke (AIS) patients.

methodsA cross-sectional analysis was performed in a prospectively collected registry of consecutive patients with first ever AIS admitted within 6 h after symptom onset. On admission stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS) and the presence of LVO was confirmed by computed tomography angiography (CTA) as an endpoint. A detailed version of CPSS (d-CPSS) was designed based on the severity assessment of CPSS items derived from NIHSS. The ability of this scale to confirm an LVO was compared to CPSS and NIHSS respectively.

resultsUsing a ROC analysis, the AUC value of d-CPSS was significantly higher compared to the AUC value of CPSS itself (0.788 vs. 0.633, p < 0.001) and very similar to the AUC of NIHSS (0.795, p = 0.510). An optimal cut-off score was found as d-CPSS≥5 to discriminate the presence of LVO (sensitivity: 69.9%, specificity: 75.2%).

conclusionA detailed severity assessment of CPSS items (upper extremity weakness, facial palsy and speech disturbance) could significantly increase the ability of CPSS to discriminate the presence of LVO in AIS patients.

Indexed as

Severity of Illness IndexAgedArterial Occlusive DiseasesCross-Sectional StudiesDiagnosis, DifferentialEmergency Medical ServicesFemaleHumansIschemic StrokeMaleMiddle AgedPredictive Value of TestsProspective StudiesRegistriesTriageAcute strokeEmergency medicineLarge vessel occlusionNeurologyPrehospitalStroke scales

Identifiers

PMID32831019
PMCPMC7446055
OpenAlexW3080650785

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.