Evidence map›Paper›PMID 36011175›Full record

ArticleHealthcare (Basel, Switzerland)2022

Optimizing Time Management for Drip-and-Ship Stroke Patients Qualifying for Endovascular Therapy-A Single-Network Study.

Kevin Hädrich, Pawel Krukowski, Jessica Barlinn, Matthias Gawlitza, Johannes C Gerber, Volker Puetz, Jennifer Linn, Daniel P O Kaiser

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Optimizing remote and rural prehospital resources using air transport of thrombectomy candidates.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024
    Review
  4. Observational
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

8 authors.

Kevin HädrichInstitute and Polyclinic for Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, 01307 Dresden, Germany.
Pawel KrukowskiInstitute and Polyclinic for Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, 01307 Dresden, Germany.
Jessica BarlinnDresden Neurovascular Center, University Hospital Carl Gustav Carus, 01307 Dresden, Germany.
Matthias GawlitzaInstitute and Polyclinic for Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, 01307 Dresden, Germany.
Johannes C GerberInstitute and Polyclinic for Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, 01307 Dresden, Germany.ORCID 0000-0001-7465-8700
Volker PuetzDresden Neurovascular Center, University Hospital Carl Gustav Carus, 01307 Dresden, Germany.
Jennifer LinnInstitute and Polyclinic for Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, 01307 Dresden, Germany.ORCID 0000-0003-0797-2761
Daniel P O KaiserInstitute and Polyclinic for Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, 01307 Dresden, Germany.ORCID 0000-0001-5258-0025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe sought to identify factors for delayed drip-and-ship (DS) management in stroke patients transferred from primary hospitals to our comprehensive stroke center (CSC) for endovascular therapy (EVT).

methodsWe conducted a retrospective study of all patients transferred to our CSC for EVT between 2016 and 2020. We analyzed emergency and hospital records to assess DS process times and factors predictive of delays. We dichotomized the admission period to 2016−2017 and 2018−2020 according to the main process optimization, including the introduction of a prenotification call.

resultsWe included 869 DS patients (median age 76 years (IQR 65−82), NIHSS 16 (IQR 11−21), 278 min (IQR 243−335) from onset to EVT); 566 were transferred in 2018−2020. Admission in 2016−2017, during on-call, longer tranfer distance, and general anesthesia were factors independently associated with delayed onset to EVT time (F(5, 352) = 14.76, p < 0.000). Other factors associated with delayed DS management were: transfer mode, primary hospital type, site of large-vessel occlusion, and intravenous thrombolysis. Total transfer time was faster for distances <50 km by ambulance and for distances >71 km by helicopter.

conclusionAssessment of DS processes and times throughout the patient pathway allows identification of potentially modifiable factors for improvement of the very time-critical workflow for stroke patients.

Indexed as

drip and shipendovascular therapyquality assurancestroke networks

Identifiers

PMID36011175
PMCPMC9407868

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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.