Evidence map›Paper›PMID 32424611›Full record

ReviewJournal of neurology2021

A review of mobile stroke units.

Jennifer Harris

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of neurology, 2021. 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
2.5field-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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Clinical applications of portable CT scanners.The British journal of radiology · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. What is the appropriate control arm when testing usefulness of mobile stroke units in improving stroke outcomes?Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2021
    Article
  8. Large Vessel Occlusion Stroke Detection in the Prehospital Environment.Current emergency and hospital medicine reports · 2021
    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

1 author at 1 institution in 1 country.

Jennifer HarrisDepartment of Stroke and Cerebrovascular Disease, Columbia University Medical Center, 710 W 168th St, New York, NY, 10032, USA. Jh4172@cumc.columbia.edu.ORCID http://orcid.org/0000-0003-4708-0936
Columbia University Irving Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewMobile stroke units (MSUs) for prehospital treatment and management of patients with acute stroke have been developed more than a decade ago and is currently spreading worldwide. This review discusses the history of MSU and current operations and research. RECENT

findingsMultiple studies have shown that MSU can significantly reduce treatment time with a tenfold increase of patients treated within the first 60 min of symptom onset. Recent preliminary results from the Berlin Prehospital or Usual Delivery of Acute Stroke Care trial (B-PROUD) showed a positive shift in modified Rankin Scale (mRS) scores at 3 months for patients treated in MSUs. Two German studies indicate that the MSU model is cost effective by reducing disability and improving adjusted quality-life years after stroke. The MSU model for prehospital management of acute stroke is spreading worldwide. More research is needed, however, to establish cost-effectiveness, efficacy and best setting for prehospital stroke management.

Indexed as

Mobile Health UnitsStrokeBerlinCost-Benefit AnalysisHumansMobile stroke unitPre-hospital stroke treatmentStroke

Identifiers

PMID32424611
OpenAlexW3027620896

What OpenQuestion holds

Textmetadata
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.