Evidence map›Paper›PMID 31795824›Full record

ArticleJournal of the American Heart Association2019

Geographic Analysis of Mobile Stroke Unit Treatment in a Dense Urban Area: The New York City METRONOME Registry.

Benjamin R Kummer, Mackenzie P Lerario, Madeleine D Hunter, Xian Wu, Elizabeth S Efraim, Setareh Salehi Omran, Monica L Chen, Ivan L Diaz, Daniel Sacchetti, Tim Lekic and 8 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
3.2field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Mobile Stroke Units: Current Evidence and Impact.Current neurology and neuroscience reports · 2022
    Review
  11. Article
  12. A review of mobile stroke units.Journal of neurology · 2021
    Review
  13. Impact of mobile stroke units.Journal of neurology, neurosurgery, and psychiatry · 2021
    Review
  14. 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

18 authors at 8 institutions in 1 country.

Benjamin R KummerDepartment of Neurology Icahn School of Medicine at Mount Sinai New York NY.
Mackenzie P LerarioDepartment of Neurology NewYork-Presbyterian Queens Flushing NY.
Madeleine D HunterColumbia University College of Physicians & Surgeons New York NY.
Xian WuDepartment of Healthcare Policy and Research Weill Cornell Medicine New York NY.
Elizabeth S EfraimDepartment of Neurology Weill Cornell Medicine New York NY.
Setareh Salehi OmranDepartment of Neurology Weill Cornell Medicine New York NY.
Monica L ChenClinical Translational Neuroscience Unit Feil Family Brain & Mind Research Institute Weill Cornell Medicine New York NY.
Ivan L DiazDepartment of Healthcare Policy and Research Weill Cornell Medicine New York NY.
Daniel SacchettiDepartment of Neurology Brown Alpert School of Medicine Providence RI.
Tim LekicDesert Neurology & Sleep La Quinta CA.
Erin R KulickSchool of Public Health Brown University Providence RI.
Sammy PishanidarDepartment of Neurology NewYork-Presbyterian Queens Flushing NY.
Saad A MirDepartment of Neurology Weill Cornell Medicine New York NY.
Yi ZhangNew York University Winthrop Hospital Mineola NY.
Glenn AsaedaFire Department of New York New York NY.
Babak B NaviDepartment of Neurology Weill Cornell Medicine New York NY.
Randolph S MarshallDepartment of Neurology Columbia College of Physicians & Surgeons New York NY.
Matthew E FinkDepartment of Neurology Weill Cornell Medicine New York NY.
MIND Research Institute · USWeill Cornell Medicine · USBrown University · USColumbia University · USCornell University · USIcahn School of Medicine at Mount Sinai · USNew York City Fire Department · USWinthrop-University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Mobile stroke units (MSUs) reduce time to intravenous thrombolysis in acute ischemic stroke. Whether this advantage exists in densely populated urban areas with many proximate hospitals is unclear. Methods and Results We evaluated patients from the METRONOME (Metropolitan New York Mobile Stroke) registry with suspected acute ischemic stroke who were transported by a bi-institutional MSU operating in Manhattan, New York, from October 2016 to September 2017. The comparison group included patients transported to our hospitals via conventional ambulance for acute ischemic stroke during the same hours of MSU operation (Monday to Friday, 9 am to 5 pm). Our exposure was MSU care, and our primary outcome was dispatch-to-thrombolysis time. We estimated mean differences in the primary outcome between both groups, adjusting for clinical, demographic, and geographic factors, including numbers of nearby designated stroke centers and population density. We identified 66 patients treated or transported by MSU and 19 patients transported by conventional ambulance. Patients receiving MSU care had significantly shorter dispatch-to-thrombolysis time than patients receiving conventional care (mean: 61.2 versus 91.6 minutes;

Indexed as

Thrombolytic TherapyAgedAged, 80 and overAmbulancesBrain IschemiaFemaleHumansMaleMiddle AgedMobile Health UnitsNew York CityProspective StudiesRegistriesStrokeTime-to-TreatmentUrban Healthacute ischemic strokegeocodingmobile stroke unitprehospital stroke caretissue plasminogen activator

Identifiers

PMID31795824
PMCPMC6951069
OpenAlexW2992181723

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.