Evidence map›Paper›PMID 24330761›Full record

ArticleBMC health services research2013

The use of Cincinnati Prehospital Stroke Scale during telephone dispatch interview increases the accuracy in identifying stroke and transient ischemic attack symptoms.

Assunta De Luca, Paolo Giorgi Rossi, Guido Francesco Villa, Stroke group Italian Society pre hospital emergency Services

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in BMC health services research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07277790 (Predictive Value of Emergency Physician-coded Cincinnati Prehospital Stroke Scale Scores Based on Witness Reports and Their Association With Action Decision Time), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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.

NCT07277790 completednot on this mapstarted 2025, after this paper: background citation

Predictive Value of Emergency Physician-coded Cincinnati Prehospital Stroke Scale Scores Based on Witness Reports and Their Association With Action Decision Time: A Cross-sectional Emergency Department Validation Study

TypeobservationalSponsorAnkara City Hospital BilkentRan2025 to 2025Enrolled235ConditionsStroke (CVA) or Transient Ischemic Attack
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. The competency requirements for emergency medical services call takers and dispatchers - a scoping review.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  2. Changing the stroke network during pandemic scenarios does not affect the management of patients with a positive Cincinnati prehospital stroke scale.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  3. Observational
  4. Observational
  5. Article
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Strategies for streamlining emergency stroke care.Current neurology and neuroscience reports · 2014
    Review
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

4 authors.

Assunta De LucaHealth Direction of Regional Authority of Emergency Services (ARES 118) Lazio Region Italy, New affiliation, Health Direction of Sant'Andrea Hospital Sapienza Rome University, Via Tronto 32, Roma, CAP 00198 Italy. deluca.assunta@yahoo.it.
Paolo Giorgi Rossi
Guido Francesco Villa
Stroke group Italian Society pre hospital emergency Services

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTimely and appropriate hospital treatment of acute cerebrovascular diseases (stroke and Transient Ischemic Attacks - TIA) improves patient outcomes. Emergency Medical Service (EMS) dispatchers who can identify cerebrovascular disease symptoms during telephone requests for emergency service also contribute to these improved outcomes. The Italian Ministry of Health issued guidelines on the management of AC patients in pre-hospital emergency service, including Cincinnati Prehospital Stroke Scale (CPSS) use.We measured the sensitivity and Positive Predictive Value (PPV) of EMS dispatchers' ability to recognize stroke/TIA symptoms and evaluated whether the CPSS improves accuracy.

methodsA cross-sectional multicentre study was conducted to collect data from 38 Italian emergency operative centres on all cases identified with stroke/TIA symptoms at the time of dispatch and all cases with stroke/TIA symptoms identified on the scene by the ambulance personnel from November 2010 to May 2011.

resultsThe study included 21760 cases: 18231 with stroke/TIA symptoms at dispatch and 9791 with symptoms confirmed on the scene. The PPV of the dispatch stroke/TIA symptoms identification was 34.3% (95% CI 33.7-35.0; 6262/18231) and the sensitivity was 64.0% (95% CI 63.0-64.9; 6262/9791). Centres using CPSS more often (>10% of cases) had both higher PPV (56%; CI 95% 57-60 vs 18%; CI 95% 17-19) and higher sensitivity (71%; CI 95% 87-89 vs 52%; CI 95% 51-54).In the multivariate regression a centre's CPSS use was associated with PPV (beta 0.48 p = 0.014) and negatively associated with sensitivity (beta -0.36; p = 0.063); centre sensitivity was associated with CPSS (beta 0.32; p = 0.002), adjusting for PPV.

conclusionsCentres that use CPSS more frequently during phone dispatch showed greater agreement with on-the-scene prehospital assessments, both in correctly identifying more cases with stroke/TIA symptoms and in giving fewer false positives for non-stroke/TIA cases. Our study shows an extreme variability in the performance among OCs, highlighting that form many centres there is room for improvement in both sensitivity and positive predictive value of the dispatch. Our results should be used for benchmarking proposals in the effort to identify best practices across the country.

Indexed as

TelephoneAdultAgedAged, 80 and overCross-Sectional StudiesEmergency Medical ServicesFemaleHumansInterviews as TopicIschemic Attack, TransientMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityStroke

Identifiers

PMID24330761
PMCPMC3867422

What OpenQuestion holds

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Registered trials

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.