Evidence map›Paper›PMID 35463146›Full record

ArticleFrontiers in neurology2022

Interactive Training of the Emergency Medical Services Improved Prehospital Stroke Recognition and Transport Time.

Lukas Sveikata, Kazimieras Melaika, Adam Wiśniewski, Aleksandras Vilionskis, Kȩstutis Petrikonis, Edgaras Stankevičius, Kristaps Jurjans, Aleksandra Ekkert, Dalius Jatužis, Rytis Masiliūnas

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 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

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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Results of an international survey on the status of prehospital care.International journal of stroke : official journal of the International Stroke Society · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. 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.

Lukas SveikataJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Kazimieras MelaikaFaculty of Medicine, Vilnius University, Vilnius, Lithuania.
Adam WiśniewskiDepartment of Neurology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Bydgoszcz, Poland.
Aleksandras VilionskisClinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Vilnius University, Vilnius, Lithuania.
Kȩstutis PetrikonisDepartment of Neurology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Edgaras StankevičiusInstitute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Kristaps JurjansDepartment of Neurology and Neurosurgery, Riga Stradins University, Riga, Latvia.
Aleksandra EkkertCenter of Neurology, Vilnius University, Vilnius, Lithuania.
Dalius JatužisCenter of Neurology, Vilnius University, Vilnius, Lithuania.
Rytis MasiliūnasCenter of Neurology, Vilnius University, Vilnius, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: Acute stroke treatment outcomes are predicated on reperfusion timeliness which can be improved by better prehospital stroke identification. We aimed to assess the effect of interactive emergency medical services (EMS) training on stroke recognition and prehospital care performance in a very high-risk cardiovascular risk population in Lithuania. Methods: We conducted a single-center interrupted time-series study between March 1, 2019 and March 15, 2020. Two-hour small-group interactive stroke training sessions were organized for 166 paramedics serving our stroke network. We evaluated positive predictive value (PPV) and sensitivity for stroke including transient ischemic attack identification, onset-to-door time, and hospital-based outcomes during 6-months prior and 3.5 months after the training. The study outcomes were compared between EMS providers in urban and suburban areas. Results: In total, 677 suspected stroke cases and 239 stroke chameleons (median age 75 years, 54.8% women) were transported by EMS. After the training, we observed improved PPV for stroke recognition (79.8% Conclusions: The interactive EMS training was associated with a robust improvement of stroke recognition, onset to hospital transport time, and a trend of decreased in-hospital mortality. Adapted training strategies may be needed for EMS providers in suburban areas. Future studies should evaluate the long-term effects of the EMS training and identify optimal retraining intervals.

Indexed as

emergency medical services (EMS)prehospital/EMSstroketrainingtransient ischemic attack (TIA)triage

Identifiers

PMID35463146
PMCPMC9021450

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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.