Evidence map›Paper›PMID 41585911›Full record

ArticleStroke (Hoboken, N.J.)2023

Decision for tPA Administration, Not Response Time, Contributes Most to Variation in Thrombolysis Times Onboard Mobile Stroke Unit.

Sajal Medha K Akkipeddi, Nathaniel R Ellens, Derrek Schartz, Redi Rahmani, Jason L Burgett, Diana Proper, Webster H Pilcher, Adam G Kelly, Curt G Benesch, Jeremy T Cushman and 3 more

Abstract read
In one paragraph

Article in Stroke (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Sajal Medha K AkkipeddiDepartment of Neurosurgery University of Rochester Medical Center Rochester NY.
Nathaniel R EllensDepartment of Neurosurgery University of Rochester Medical Center Rochester NY.
Derrek SchartzDepartment of Imaging Sciences University of Rochester Medical Center Rochester NY.
Redi RahmaniDepartment of Neurosurgery University of Rochester Medical Center Rochester NY.
Jason L BurgettDepartment of Neurosurgery University of Rochester Medical Center Rochester NY.
Diana ProperDepartment of Neurosurgery University of Rochester Medical Center Rochester NY.
Webster H PilcherDepartment of Neurosurgery University of Rochester Medical Center Rochester NY.
Adam G KellyDepartment of Neurology University of Rochester Medical Center Rochester NY.
Curt G BeneschDepartment of Neurology University of Rochester Medical Center Rochester NY.
Jeremy T CushmanDepartment of Emergency Medicine University of Rochester Medical Center Rochester NY.
Thomas K MattinglyDepartment of Neurosurgery University of Rochester Medical Center Rochester NY.
Tarun BhallaDepartment of Neurosurgery University of Rochester Medical Center Rochester NY.
Matthew T BenderDepartment of Neurosurgery University of Rochester Medical Center Rochester NY.ORCID https://orcid.org/0000-0002-5101-0431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hospitals have improved stroke thrombolysis times through rigorous assessment of care delays. However, this same rigor has not yet been applied to the novel setting of mobile stroke units (MSUs). Methods: We reviewed all cases of intravenous tPA (tissue-type plasminogen activator) administration onboard our MSU in Rochester, NY, since its first complete year of operation in 2019. The dispatch timeline was divided into 6 intervals: (1) response time, (2) onboarding time, (3) head computed tomography collection, (4) head computed tomography reading, (5) decision time, and (6) intravenous tPA administration. Results: The mean±SD total time between MSU dispatch and tPA was 42±8.4 minutes (range, 26-60 minutes; N=53). The largest mean duration was in (1), between dispatch and arrival (12.0±4.7 minutes). However, the intercase variation was greatest in (5), between head computed tomography reading and treatment decision (6.3±6.2 minutes). After ranking cases by total time, the mean decision times of first and fourth quartile cases varied the most, by a factor of 2.45, whereas the mean times for the other intervals varied by <1.50. Decision time was the interval most closely correlated with the mean total time (Spearman ρ=0.46; Conclusions: The primary driver of variation in total time from emergency alert to tPA administration is provider decision time in our MSU program in Rochester, NY. This observation should be investigated in other settings but may ultimately inform MSU training and staffing to optimize MSU treatment timelines.

Indexed as

ischemic strokemobile stroke unitthrombolysistPA

Identifiers

PMID41585911
PMCPMC12778620

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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.