Evidence map›Paper›PMID 29712881›Full record

ArticleStroke2018

Delays in the Air or Ground Transfer of Patients for Endovascular Thrombectomy.

Robert W Regenhardt, Adam P Mecca, Stephanie A Flavin, Gregoire Boulouis, Arne Lauer, Kori Sauser Zachrison, James Boomhower, Aman B Patel, Joshua A Hirsch, Lee H Schwamm and 1 more

Abstract read
In one paragraph

Article in Stroke, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  10. Large right middle cerebral artery stroke with hemorrhagic transformation.International journal of emergency medicine · 2024
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  12. Observational
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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

11 authors.

Robert W RegenhardtFrom the Department of Neurology (R.W.R., G.B., A.L., L.H.S., T.M.L.-M.).
Adam P MeccaDepartment of Psychiatry, Yale New Haven Hospital, CT (A.P.M.).
Stephanie A FlavinDepartment of Emergency Medicine (S.A.F., K.S.Z.).
Gregoire BoulouisFrom the Department of Neurology (R.W.R., G.B., A.L., L.H.S., T.M.L.-M.).
Arne LauerFrom the Department of Neurology (R.W.R., G.B., A.L., L.H.S., T.M.L.-M.).
Kori Sauser ZachrisonDepartment of Emergency Medicine (S.A.F., K.S.Z.).
James BoomhowerBoston MedFlight, MA (J.B.).
Aman B PatelDepartment of Neurosurgery (A.B.P., T.M.L.-M.).
Joshua A HirschNeuroendovascular Service (A.B.P., J.A.H., T.M.L.-M.), Massachusetts General Hospital, Boston.
Lee H SchwammFrom the Department of Neurology (R.W.R., G.B., A.L., L.H.S., T.M.L.-M.).
Thabele M Leslie-MazwiFrom the Department of Neurology (R.W.R., G.B., A.L., L.H.S., T.M.L.-M.) tleslie-mazwi@mgh.harvard.edu.

Funding

Neuroscience Resident Research ProgramR25NS065743 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S, WILLIAMS, ZIV · 2009 to 2023
$11.8M
New England Regional Coordinating Center for the NINDS Stroke Trials NetworkU10NS086729 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SCHWAMM, LEE H · 2013 to 2017
$2.3M
Investigation of molecular changes in mGluR5 and SV2A to study synaptic alterations in Alzheimer's disease using PET.K23AG057794 · NIA · YALE UNIVERSITY · PI MECCA, ADAM PETER · 2018 to 2022
$977k
Identifying novel system-level factors associated with the quality of acute stroke care deliveryK08HS024561 · AHRQ · MASSACHUSETTS GENERAL HOSPITAL · PI ZACHRISON, KORILYN SAUSER · 2016 to 2020
$784k
AHRQ HHS K08 HS024561NIA NIH HHS K23 AG057794NINDS NIH HHS R25 NS065743NINDS NIH HHS U10 NS086729
6 · The paper itself

Abstract

background and purposeFor suspected large vessel occlusion patients efficient transfer to centers that provide endovascular therapy (ET) is critical to maximizing treatment opportunity. Our objective was to examine associations between transfer time, modes of transfer, ET, and outcomes within a hub-and-spoke telestroke network.

methodsPatients with ischemic stroke were included if transferred to a single hub hospital between January 2011 and October 2015 with National Institutes of Health Stroke Scale>6, onset<12 hours from hub arrival with complete clinical, imaging, and transfer data. Transfer time was the interval between initiation of telestroke consult and arrival at the hub. Algorithms were created for ideal transfer times; ideal time was subtracted from actual time to calculate delay. We examined bivariate relationships between transfer time and several clinical outcomes and used multivariable regression modeling to explore possible predictors of delay.

resultsOf 234 patients that met inclusion criteria, 51% were transferred by ambulance and 49% by helicopter; 27% underwent ET (36% achieved modified Rankin Scale score of 0-2 at 90 days). Median actual transfer time was 132 minutes (interquartile range, 103-165), compared with median ideal transfer time at 102 minutes (interquartile range, 96-123). Longer transfer time was associated with decreased likelihood of undergoing ET (odds ratio, 0.990;

conclusionsWithin a large telestroke network, there was an association between longer transfer time and decreased likelihood of undergoing ET. Nocturnal transfers were associated with a substantial delay relative to daytime transfers. In contrast, delivery of tPA was not associated with delays, underscoring the impact of effective protocols at spoke hospitals. More efficient transfer may enable higher ET treatment rates. Metrics and protocols for transfer, especially at night, may improve transfer times.

Indexed as

Patient TransferThrombectomyTime FactorsAgedAged, 80 and overFemaleFibrinolytic AgentsHumansMaleMiddle AgedStrokeThrombolytic TherapyTissue Plasminogen ActivatorFibrinolytic AgentsTissue Plasminogen Activatoralgorithmstelemedicinethrombectomytransfertriage

Identifiers

PMID29712881
PMCPMC5970980

What OpenQuestion holds

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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.