Evidence map›Paper›PMID 39150649›Full record

ReviewCurrent neurology and neuroscience reports2024

Hyper-Acute Stroke Systems of Care and Workflow.

Timothy J Kleinig, Patrick McMullan, Geoffrey C Cloud, Prof Christopher Bladin, Anna Ranta

Abstract readReview
In one paragraph

Review in Current neurology and neuroscience reports, 2024. 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. Observational
  2. Article
  3. Review
  4. 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

5 authors.

Timothy J KleinigDepartment of Neurology, Royal Adelaide Hospital, 1 Port Road, Adelaide, South Australia, 5000, Australia. timothy.kleinig@sa.gov.au.
Patrick McMullanDepartment of Neurology, Royal Adelaide Hospital, 1 Port Road, Adelaide, South Australia, 5000, Australia.
Geoffrey C CloudDepartment of Neurology, Alfred Health, Melbourne, VIC, Australia.
Prof Christopher BladinAmbulance Victoria/Monash University, Melbourne, Australia.
Anna RantaDepartment of Neurology, Wellington Hospital, Wellington, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewRecent stroke treatment advances have necessitated agile, broad-scale healthcare system redesign, to achieve optimal patient outcomes and access equity. Optimised hyperacute stroke care requires integrated pre-hospital, emergency department, stroke specialist, radiology, neurosurgical and endovascular neurointervention services, guided by a population-wide needs analysis. In this review, we survey system integration efforts, providing case studies, and identify common elements of successful initiatives. RECENT

findingsDifferent regions and nations have evolved varied acute stroke systems depending on geography, population density and workforce. However, common facilitators to these solutions have included stroke unit care as a foundation, government-clinician synergy, pre-hospital pathway coordination, service centralisation, and stroke data guiding system improvement. Further technological advantages will minimize the geographical distance disadvantages and facilitate virtual expertise redistribution to remote areas. Continued treatment advances necessitate an integrated, adaptable, population-wide trans-disciplinary approach. A well-designed clinician-led and government-supported system can facilitate hyperacute care and scaffold future system enhancements.

Indexed as

StrokeWorkflowDelivery of Health CareHumansGeographical disparityLearning health care systemStrokeSystems of careTelemedicine

Identifiers

PMID39150649
PMCPMC11415429

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.