Evidence map›Paper›PMID 32487262›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2020

The selection of an optimal transportation strategy in urgent stroke missions: a simulation study.

Jukka Pappinen, Tuuli Miettinen, Päivi Laukkanen-Nevala, Pekka Jäkälä, Anne-Mari Kantanen, Pekka Mäntyselkä, Jouni Kurola

Abstract readMulticenter Study
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. EDEN - Enhanced Dispatch for Efficient Neurointervention: mathematical model from national data.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026
    Article
  3. Precipitation, EMS use, and time to presentation of Acute Ischemic stroke in the get with the guidelines-stroke registry.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Helicopter Ambulance Transport to the Emergency Department: Demographic and Clinical Factors Impacting Outcomes in a Turkish Medical Center.Medical science monitor : international medical journal of experimental and clinical research · 2023
    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

7 authors.

Jukka PappinenFinnHEMS Research and Development Unit, Lentäjäntie 3, FI-01530, Vantaa, Finland. jukka.pappinen@finnhems.fi.ORCID http://orcid.org/0000-0002-1174-8669
Tuuli MiettinenUniversity of Eastern Finland, Institute of Clinical Medicine, Unit of Neurology, Kuopio, Finland.
Päivi Laukkanen-NevalaFinnHEMS Research and Development Unit, Lentäjäntie 3, FI-01530, Vantaa, Finland.
Pekka JäkäläUniversity of Eastern Finland, Institute of Clinical Medicine, Unit of Neurology, Kuopio, Finland.
Anne-Mari KantanenNeuro Center, Kuopio University Hospital, P.O.B. 100, FI-70029 KYS, Kuopio, Finland.
Pekka MäntyselkäUniversity of Eastern Finland, School of Medicine, P.O. Box 1627, FI-70211, Kuopio, Finland.
Jouni KurolaCentre for Pre-hospital Emergency Care, Kuopio University Hospital, P.O. Box 1777, FI-70210, Kuopio, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke causes death, disability and increases the use of healthcare resources worldwide. The outcome of intravenous thrombolysis and mechanical endovascular thrombectomy highly depends on the delay from symptom onset to initiation of definitive treatment. The purpose of this study was to compare the various patient transportation strategies to minimize pre-hospital delays.

methodsEmergency medical services (EMS) mission locations and ambulance response times in Finland with urgent stroke-suspected dispatch codes were collected from Emergency Response Centre (ERC) records between 1 January 2016 and 31 December 2016. Four transport scenarios were simulated for each mission, comparing ground and helicopter transportation to hospital with different treatment capabilities.

resultsIn 2016, a total of 20,513 urgent stroke-suspected missions occurred in Finland. Of these, we were able to locate and calculate a route to scenario-based hospitals in 98.7% (20,240) of the missions. For ground transport, the estimated median pre-hospital time to a thrombolysis-capable and thrombectomy-capable hospital were 54.5 min (95% confidence interval (CI), 31.7-111.4) and 94.4 min (95% CI, 33.3-195.8), respectively. Should patients be transported on the ground to thrombectomy-capable hospitals only, the pre-hospital time would increase in 11,003 (54.4%) of missions, most of which were in rural areas. With the fastest possible transportation method, the estimated mean transport time to a thrombectomy-capable hospital was 80.84 min (median, 80.80 min; 95% CI, 33.3-143.1). Helicopter transportation was the fastest method in 68.8% (13,921) of missions, and the time saved was greater than 30 min in 27.1% (5475) of missions. In rural areas, helicopter transportation was the fastest option in nearly all missions if dispatched simultaneously with ground ambulance.

conclusionHelicopter transportation may significantly decrease pre-hospital delays for stroke patients, especially in rural areas, but the selection of an optimal transportation method or chain of methods should be determined case-by-case.

Indexed as

Computer SimulationPractice Guidelines as TopicTime-to-TreatmentAir AmbulancesEmergency Medical ServicesFemaleFinlandHospitalsHumansIncidenceMaleMiddle AgedRetrospective StudiesStrokeTransportation of PatientsEmergency medical servicesGeographic information systemsHEMSSimulationStroke

Identifiers

PMID32487262
PMCPMC7268427

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.