Evidence map›Paper›PMID 28766306›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2018

Interpretation of Brain CT Scans in the Field by Critical Care Physicians in a Mobile Stroke Unit.

Maren Ranhoff Hov, Erik Zakariassen, Thomas Lindner, Terje Nome, Kristi G Bache, Jo Røislien, Jostein Gleditsch, Volker Solyga, David Russell, Christian G Lund and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Mobile Stroke Units: Current Evidence and Impact.Current neurology and neuroscience reports · 2022
    Review
  6. Article
  7. Template for documenting and reporting data in physician-staffed pre-hospital services: a consensus-based update.Scandinavian journal of trauma, resuscitation and emergency medicine · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

11 authors at 4 institutions in 4 countries.

Maren Ranhoff HovDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Drøbak, Norway.ORCID 0000-0002-4465-8336
Erik ZakariassenDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Drøbak, Norway.
Thomas LindnerDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Drøbak, Norway.
Terje NomeDepartment of Radiology, Oslo University Hospital, Oslo, Norway.
Kristi G BacheDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Drøbak, Norway.
Jo RøislienDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Drøbak, Norway.
Jostein GleditschDepartment of Radiology, Østfold Hospital, Kalnes, Norway.
Volker SolygaDepartment of Neurology, Østfold Hospital, Kalnes, Norway.
David RussellDepartment of Neurology, Oslo University Hospital, Oslo, Norway.
Christian G LundDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Drøbak, Norway.
NASPP study groupDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Drøbak, Norway.
Stiftelsen Norsk Luftambulanse · NOOslo University Hospital · NOBarnes Hospital · GBUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIn acute stroke, thromboembolism or spontaneous hemorrhage abruptly reduces blood flow to a part of the brain. To limit necrosis, rapid radiological identification of the pathological mechanism must be conducted to allow the initiation of targeted treatment. The aim of the Norwegian Acute Stroke Prehospital Project is to determine if anesthesiologists, trained in prehospital critical care, may accurately assess cerebral computed tomography (CT) scans in a mobile stroke unit (MSU).

methodsIn this pilot study, 13 anesthesiologists assessed unselected acute stroke patients with a cerebral CT scan in an MSU. The scans were simultaneously available by teleradiology at the receiving hospital and the on-call radiologist. CT scan interpretation was focused on the radiological diagnosis of acute stroke and contraindications for thrombolysis. The aim of this study was to find inter-rater agreement between the pre- and in-hospital radiological assessments. A neuroradiologist evaluated all CT scans retrospectively. Statistical analysis of inter-rater agreement was analyzed with Cohen's kappa.

resultsFifty-one cerebral CT scans from the MSU were included. Inter-rater agreement between prehospital anesthesiologists and the in-hospital on-call radiologists was excellent in finding radiological selection for thrombolysis (kappa .87). Prehospital CT scans were conducted in median 10 minutes (7 and 14 minutes) in the MSU, and median 39 minutes (31 and 48 minutes) before arrival at the receiving hospital.

conclusionThis pilot study shows that anesthesiologists trained in prehospital critical care may effectively assess cerebral CT scans in an MSU, and determine if there are radiological contraindications for thrombolysis.

Indexed as

Mobile Health UnitsTomography, X-Ray ComputedBrainCritical CareHumansNeuroimagingPilot ProjectsPoint-of-Care SystemsRetrospective StudiesStrokeTomography Scanners, X-Ray ComputedCerebral CTprehospitalstroke

Identifiers

PMID28766306
PMCPMC5811888
OpenAlexW2740968090

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.