Evidence map›Paper›PMID 35547365›Full record

ArticleFrontiers in neurology2022

Can Helicopters Solve the Transport Dilemma for Patients With Symptoms of Large-Vessel Occlusion Stroke in Intermediate Density Areas? A Simulation Model Based on Real Life Data.

Anne Behrndtz, Richard Beare, Svitlana Iievlieva, Grethe Andersen, Jeppe Mainz, Martin Gude, Henry Ma, Velandai Srikanth, Claus Z Simonsen, Thanh Phan

Abstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Optimizing remote and rural prehospital resources using air transport of thrombectomy candidates.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024
    Review
  8. Article
  9. 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

10 authors.

Anne BehrndtzDepartment of Neurology, Aarhus University Hospital, Aarhus, Denmark.
Richard BeareDepartment of Medicine, School of Clinical Sciences at Monash Health, Stroke and Ageing Research, Monash University, Melbourne, VIC, Australia.
Svitlana IievlievaDepartment of Medicine, School of Clinical Sciences at Monash Health, Stroke and Ageing Research, Monash University, Melbourne, VIC, Australia.
Grethe AndersenDepartment of Neurology, Aarhus University Hospital, Aarhus, Denmark.
Jeppe MainzDepartment of Neurology, Aarhus University Hospital, Aarhus, Denmark.
Martin GudeDepartment of Clinical Medicine, Prehospital Department, Aarhus, Denmark.
Henry MaDepartment of Medicine, School of Clinical Sciences at Monash Health, Stroke and Ageing Research, Monash University, Melbourne, VIC, Australia.
Velandai SrikanthDepartment of Medicine, School of Clinical Sciences at Monash Health, Stroke and Ageing Research, Monash University, Melbourne, VIC, Australia.
Claus Z SimonsenDepartment of Neurology, Aarhus University Hospital, Aarhus, Denmark.
Thanh PhanDepartment of Medicine, School of Clinical Sciences at Monash Health, Stroke and Ageing Research, Monash University, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This modeling study aimed to determine if helicopters may optimize the transportation of patients with Methods: We estimated the time for the treatment of patients requiring endovascular therapy or intravenous thrombolysis under four configurations: "drip and ship" with and without helicopter and "bypass" with and without helicopter. Time delays, stroke numbers per municipality, and helicopter dispatches for four helicopter bases from 2019 were obtained from the Danish Stroke and Helicopter Registries. Discrete event simulation (DES) was used to estimate the capacity of the helicopter fleet to meet patient transport requests, given the number of stroke codes per municipality. Results: The median onset-to-needle time at the comprehensive stroke center (CSC) for the bypass model with the helicopter was 115 min [interquartile range (IQR): 108, 124]; the median onset-to-groin time was 157 min (IQR: 150, 166). The median onset-to-needle time at the primary stroke center (PSC) by ground transport was 112 min (IQR: 101, 125) and the median onset-to-groin time when primary transport to the PSC was prioritized was 234 min (IQR: 209, 261).A linear correlation between travel time by ground and the number of patients transported by helicopter (rho = 0.69, Conclusions: Our model calculations suggest that using helicopters to transport patients with stroke directly to the CSC in intermediate density areas markedly reduce onset-to-groin time without affecting time to thrombolysis. In this setting, helicopter capacity is not challenged by increasing the capture zone.

Indexed as

drip & shiphelicopterLarge-Vessel Occlusionmodelmothershipprehospital/EMSrurban areatransport-air

Identifiers

PMID35547365
PMCPMC9082641

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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.