Evidence map›Paper›PMID 39127910›Full record

ReviewInternational journal of stroke : official journal of the International Stroke Society2025

Prehospital stroke detection scales: A head-to-head comparison of 7 scales in patients with suspected stroke.

Luuk Dekker, Walid Moudrous, Jasper D Daems, Ewout Fh Buist, Esmee Venema, Marcel Dj Durieux, Erik W van Zwet, Els Llm de Schryver, Loet Mh Kloos, Karlijn F de Laat and 7 more

Abstract readComparative StudyReview
In one paragraph

Review in International journal of stroke : official journal of the International Stroke Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  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

17 authors.

Luuk DekkerDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-0958-2081
Walid MoudrousDepartment of Neurology, Maasstad Hospital, Rotterdam, The Netherlands.
Jasper D DaemsDepartment of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Ewout Fh BuistAmsterdam University Medical Center, Amsterdam, The Netherlands.
Esmee VenemaDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Marcel Dj DurieuxEmergency Medical Services Hollands-Midden, Leiden, The Netherlands.
Erik W van ZwetDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Els Llm de SchryverDepartment of Neurology, Alrijne Hospital, Leiderdorp, The Netherlands.ORCID 0009-0005-8054-1839
Loet Mh KloosDepartment of Neurology, Groene Hart Hospital, Gouda, The Netherlands.
Karlijn F de LaatDepartment of Neurology, Haga Hospital, The Hague, The Netherlands.
Leo Am AerdenDepartment of Neurology, Reinier de Graaf Gasthuis Hospital, Delft, The Netherlands.
Diederik Wj DippelDepartment of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-9234-3515
Henk KerkhoffDepartment of Neurology, Albert Schweitzer Hospital, Dordrecht, The Netherlands.
Ido R van den WijngaardDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Marieke Jh WermerDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Bob RoozenbeekDepartment of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Nyika D KruytDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral prehospital scales have been designed to aid paramedics in identifying stroke patients in the ambulance setting. However, external validation and comparison of these scales are largely lacking.

aimsTo compare all published prehospital stroke detection scales in a large cohort of unselected stroke code patients.

methodsWe conducted a systematic literature search to identify all stroke detection scales. Scales were reconstructed with prehospital acquired data from two observational cohort studies: the Leiden Prehospital Stroke Study (LPSS) and PREhospital triage of patients with suspected STrOke (PRESTO) study. These included stroke code patients from four ambulance regions in the Netherlands, including 15 hospitals and serving 4 million people. For each scale, we calculated the accuracy, sensitivity, and specificity for a diagnosis of stroke (ischemic, hemorrhagic, or transient ischemic attack (TIA)). Moreover, we assessed the proportion of stroke patients who received reperfusion treatment with intravenous thrombolysis or endovascular thrombectomy that would have been missed by each scale.

resultsWe identified 14 scales, of which 7 (CPSS, FAST, LAPSS, MASS, MedPACS, OPSS, and sNIHSS-EMS) could be reconstructed. Of 3317 included stroke code patients, 2240 (67.5%) had a stroke (1528 ischemic, 242 hemorrhagic, 470 TIA) and 1077 (32.5%) a stroke mimic. Of ischemic stroke patients, 715 (46.8%) received reperfusion treatment. Accuracies ranged from 0.60 (LAPSS) to 0.66 (MedPACS, OPSS, and sNIHSS-EMS), sensitivities from 66% (LAPSS) to 84% (MedPACS and sNIHSS-EMS), and specificities from 28% (sNIHSS-EMS) to 49% (LAPSS). MedPACS, OPSS, and sNIHSS-EMS missed the fewest reperfusion-treated patients (10.3-11.2%), whereas LAPSS missed the most (25.5%).

conclusionsPrehospital stroke detection scales generally exhibited high sensitivity but low specificity. While LAPSS performed the poorest, MedPACS, sNIHSS-EMS, and OPSS demonstrated the highest accuracy and missed the fewest reperfusion-treated stroke patients. Use of the most accurate scale could reduce unnecessary stroke code activations for patients with a stroke mimic by almost a third, but at the cost of missing 16% of strokes and 10% of patients who received reperfusion treatment.

Indexed as

Emergency Medical ServicesStrokeAgedCohort StudiesFemaleHumansMaleMiddle AgedNetherlandsSensitivity and SpecificityTriageCerebrovascular diseaseshemorrhagic strokeischemic strokeparamedicstrokestroke mimictriage

Identifiers

PMID39127910
PMCPMC11874475

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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.