Evidence map›Paper›PMID 37226097›Full record

ArticleBMC emergency medicine2023

The Rapid Arterial oCclusion Evaluation (RACE) scale accuracy for diagnosis of acute ischemic stroke in emergency department - A multicenter study.

Hosein Rafiemanesh, Negin Barikro, Somayeh Karimi, Mehran Sotoodehnia, Alireza Jalali, Alireza Baratloo

Abstract readMulticenter Study
In one paragraph

Article in BMC emergency medicine, 2023. 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

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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

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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. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hosein RafiemaneshNon-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.ORCID 0000-0002-6752-7005
Negin BarikroDepartment of Emergency Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Somayeh KarimiDepartment of Emergency Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-0783-5679
Mehran SotoodehniaDepartment of Emergency Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-4269-1068
Alireza JalaliDepartment of Emergency Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-8729-7596
Alireza BaratlooDepartment of Emergency Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran. alirezabaratloo@yahoo.com.ORCID 0000-0002-4383-7738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIt seems that the available data on performance of the Rapid Arterial oCclusion Evaluation (RACE) as a prehospital stroke scale for differentiating all AIS cases, not only large vessel occlusion (LVO), from the stroke mimics is lacking. As a result, we intend to evaluate the accuracy of the RACE criteria in diagnosing of AIS in patients transferred to the emergency department (ED).

methodThe present study was a diagnostic accuracy cross-sectional study during 2021 in Iran. The study population consist of all suspected acute ischemic stroke (AIS) patients who transferred to the ED by emergency medical services (EMS). A 3-part checklist consisting of the basic and demographic information of the patients, items related to the RACE scale, and the final diagnosis of the patients based on interpretation of patients' brain MRI was used for data collection. All data were entered in Stata 14 software. We used the ROC analysis to evaluate the diagnostic power of the test.

resultIn this study, data from 805 patients with the mean age of 66.9 ± 13.9 years were studied of whom 57.5% were males. Of all the patients suspected of stroke who transferred to the ED, 562 (69.8%) had a definite final diagnosis of AIS. The sensitivity and specificity of the RACE scale for the recommended cut-off point (score ≥ 5) were 50.18% and 92.18%, respectively. According to the Youden J index, the best cut-off point for this tool for differentiating AIS cases was a score > 2, at which sensitivity and specificity were 74.73% and 87.65%, respectively.

conclusionIt seems that, the RACE scale is an accurate diagnostic tool to detect and screen AIS patients in ED, Of course, not at the previously suggested cut-off point (score ≥ 5), but at the score > 2.

Indexed as

Arterial Occlusive DiseasesIschemic StrokeStrokeAgedAged, 80 and overCross-Sectional StudiesEmergency Service, HospitalFemaleHumansMaleMiddle AgedDecision support techniquesEmergency service, hospitalStroke

Identifiers

PMID37226097
PMCPMC10210284

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