Evidence map›Paper›PMID 42707892›Full record

ArticleBMJ neurology open2026

Australian Paediatric Acute Code Stroke study: study protocol for a quasi-experimental trial measuring the impact of Code Stroke protocols on time to diagnosis and access to reperfusion therapies.

Mark T Mackay, Belinda Stojanovski, Nicola Fearn, Michael Fahey, Ian Andrews, Christopher Troedson, Richard Webster, Christina Miteff, Adriane Sinclair, Claire Pridmore and 10 more

Abstract read
In one paragraph

Article in BMJ neurology open, 2026. 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

20 authors.

Mark T MackayNeurology, Royal Children's Hospital, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-3787-1112
Belinda StojanovskiNeurology, The Royal Children's Hospital Melbourne, Melbourne, Victoria, Australia.
Nicola FearnNeurology, The Royal Children's Hospital Melbourne, Melbourne, Victoria, Australia.
Michael FaheyPaediatrics, Monash University, Melbourne, Victoria, Australia.
Ian AndrewsNeurology, Sydney Children's Hospital, Sydney, New South Wales, Australia.
Christopher TroedsonNeurology, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Richard WebsterNeurology, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Christina MiteffNeurology, John Hunter Children's Hospital, Hunter Region Mail Centre, New South Wales, Australia.
Adriane SinclairNeurology, Queensland Children's Hospital, Brisbane, Queensland, Australia.
Claire PridmoreNeurology, Women's and Children's Hospital South Australia, Adelaide, South Australia, Australia.
Snehal ShahNeurology, Perth Children's Hospital, Perth, Western Australia, Australia.
Claire G SpoonerNeurology, Starship Children's Hospital Child Protection Service, Auckland, New Zealand.
Leonid ChurilovMedicine and Neurology, University of Melbourne, Melbourne, Victoria, Australia.
Bruce C V CampbellMedicine, University of Melbourne, Parkville, Victoria, Australia.ORCID https://orcid.org/0000-0003-3632-9433
Lan GaoDeakin Health Economics, Institute for Health Transformation, Deakin University Faculty of Health, Burwood, Victoria, Australia.
Dominique CadilhacStroke and Ageing Research, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-8162-682X
Franz E BablClinical Sciences, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Dee BanksLittle Stroke Warriors, Melbourne, Victoria, Australia.
Lisa MurphyStroke Foundation Australia, Melbourne, Victoria, Australia.
Associate Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Childhood stroke leads to long-term neurological impairment, impacts on quality of life and has substantial economic costs. Coordinated systems of care are required to streamline rapid diagnosis and treatment of stroke. The primary aim is to investigate the effect of Code Stroke protocols on increasing the proportion of children with stroke diagnosed within the 4.5-hour time window for reperfusion therapies. Methods and analysis: Prospective, multicentre, quasi-experimental interventional study in nine Australian and New Zealand children's hospitals from 2020 to 2026. Children aged 1 month to <18 years with stroke symptoms are eligible for inclusion. A staged pre-implementation and post implementation study design will investigate effects of (1) Code Stroke protocols to streamline diagnosis and treatment, (2) decision support tools to improve diagnostic accuracy and (3) perfusion imaging to quantify brain at risk of infarction. Presenting characteristics, timelines of care, treatments, functional and health economic outcomes will be collected. The primary outcome is the proportion of children with stroke diagnosed within 4.5 hours, estimated using a mixed-effect logistic regression model, with the dichotomous variable time to diagnosis as the dependent variable, implementation phase as the independent fixed effect and hospitals as random effects. Sample size calculation estimates that 98 patients with radiologically confirmed stroke per phase will yield 80% power to detect change from 15% to 40% in the proportion of children diagnosed within 4.5 hours.

Indexed as

PAEDIATRIC NEUROLOGYSTROKE

Identifiers

PMID42707892
PMCPMC13548288

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.