Evidence map›Paper›PMID 35614916›Full record

ArticleFrontiers in neurology2022

Mobile Stroke Unit Operational Metrics: Institutional Experience, Systematic Review and Meta-Analysis.

Nathaniel R Ellens, Derrek Schartz, Redi Rahmani, Sajal Medha K Akkipeddi, Adam G Kelly, Curtis G Benesch, Stephanie A Parker, Jason L Burgett, Diana Proper, Webster H Pilcher and 4 more

Open access · goldAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Nathaniel R EllensDepartment of Neurosurgery, University of Rochester Medical Center, Rochester, NY, United States.
Derrek SchartzDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, United States.
Redi RahmaniDepartment of Neurosurgery, University of Rochester Medical Center, Rochester, NY, United States.
Sajal Medha K AkkipeddiDepartment of Neurosurgery, University of Rochester Medical Center, Rochester, NY, United States.
Adam G KellyDepartment of Neurology, University of Rochester Medical Center, Rochester, NY, United States.
Curtis G BeneschDepartment of Neurology, University of Rochester Medical Center, Rochester, NY, United States.
Stephanie A ParkerDepartment of Neurology, University of Texas McGovern Medical School, Houston, TX, United States.
Jason L BurgettDepartment of Neurosurgery, University of Rochester Medical Center, Rochester, NY, United States.
Diana ProperDepartment of Neurosurgery, University of Rochester Medical Center, Rochester, NY, United States.
Webster H PilcherDepartment of Neurosurgery, University of Rochester Medical Center, Rochester, NY, United States.
Thomas K MattinglyDepartment of Neurosurgery, University of Rochester Medical Center, Rochester, NY, United States.
James C GrottaMobile Stroke Unit, Memorial Hermann Hospital-Texas Medical Center, Houston, TX, United States.
Tarun BhallaDepartment of Neurosurgery, University of Rochester Medical Center, Rochester, NY, United States.
Matthew T BenderDepartment of Neurosurgery, University of Rochester Medical Center, Rochester, NY, United States.
University of Rochester Medical Center · USTexas Medical Center · USThe University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The available literature on mobile stroke units (MSU) has focused on clinical outcomes, rather than operational performance. Our objective was to establish normalized metrics and to conduct a meta-analysis of the current literature on MSU performance. Methods: Our MSU in upstate New York serves 741,000 people. We present prospectively collected, retrospectively analyzed data from the inception of our MSU in October of 2018, through March of 2021. Rates of transportation/dispatch and MSU utilization were reported. We also performed a meta-analysis using MEDLINE, SCOPUS, and Cochrane Library databases, calculating rates of tPA/dispatch, tPA-per-24-operational-hours ("per day"), mechanical thrombectomy (MT)/dispatch and MT/day. Results: Our MSU was dispatched 1,719 times in 606 days (8.5 dispatches/24-operational-hours) and transported 324 patients (18.8%) to the hospital. Intravenous tPA was administered in 64 patients (3.7% of dispatches) and the rate of tPA/day was 0.317 (95% CI 0.150-0.567). MT was performed in 24 patients (1.4% of dispatches) for a MT/day rate of 0.119 (95% CI 0.074-0.163). The MSU was in use for 38,742 minutes out of 290,760 total available minutes (13.3% utilization rate). Our meta-analysis included 14 articles. Eight studies were included in the analysis of tPA/dispatch (342/5,862) for a rate of 7.2% (95% CI 4.8-9.5%, I Conclusions: In this single institution retrospective study and meta-analysis, we outline the following operational metrics: tPA/dispatch, tPA/day, MT/dispatch, MT/day, and utilization rate. These metrics are useful for internal and external comparison for institutions with or considering developing mobile stroke programs.

Indexed as

ambulancemechanical thrombectomy (MT)mobile stroke unit (MSU)operational performancetissue plasminogen activator (tPA)

Identifiers

PMID35614916
PMCPMC9124821
OpenAlexW4229364489

What OpenQuestion holds

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Registered trials

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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.