Evidence map›Paper›PMID 40890896›Full record

Trial reportEmergency medicine Australasia : EMA2025

Health Services and Economic Impacts of the Limit of Detection in Emergency Department (LEGEND) Rule-Out Strategy in Australian Emergency Departments: A Stepped-Wedge Cluster Randomised Trial.

Olivia Dobson, Louise Cullen, William Parsonage, Laura Stephensen, David Brain, Steven Mcphail, Emma Hall, Niranjan Gaikwad, Siegfried Perez, Katrina Starmer and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Emergency medicine Australasia : EMA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Olivia DobsonFaculty of Health, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0009-0002-4044-9550
Louise CullenFaculty of Health, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.
William ParsonageRoyal Brisbane and Women's Hospital, Herston, Australia.
Laura StephensenRoyal Brisbane and Women's Hospital, Herston, Australia.
David BrainFaculty of Health, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.
Steven McphailRoyal Brisbane and Women's Hospital, Herston, Australia.
Emma HallRoyal Brisbane and Women's Hospital, Herston, Australia.
Niranjan GaikwadRoyal Brisbane and Women's Hospital, Herston, Australia.
Siegfried PerezRoyal Brisbane and Women's Hospital, Herston, Australia.
Katrina StarmerRoyal Brisbane and Women's Hospital, Herston, Australia.
Gregory StarmerRoyal Brisbane and Women's Hospital, Herston, Australia.
Jaimi GreensladeFaculty of Health, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-6970-5573
LEGEND investigators

Funding

Advance QueenslandEmergency Medicine FoundationHealth Translation QueenslandNational Health and Medical Research CouncilNational Heart Foundation of Australia
6 · The paper itself

Abstract

objectiveThis study aimed to describe healthcare utilisation and costs associated with the assessment of suspected acute coronary syndrome (ACS) under standard care and to compare these outcomes with the Limit of Detection in Emergency Department (LEGEND) strategy, an accelerated diagnostic pathway identifying low-risk patients using a single highly sensitive troponin (hs-cTnI).

methodA stepped-wedge cluster randomised trial was conducted in four Queensland hospitals. Each transitioned from standard care (2016 ACS guidelines) to the LEGEND intervention at randomised intervals. Data were collected for index presentations and 6-month outcomes.

resultsData were collected from 5347 patients in the standard care phase and 4597 in the LEGEND intervention phase. The intervention reduced mean ED length of stay (-72.0 min, 95% CI: -85.0 to -59.0 min) and inpatient admissions (-2.3%, 95% CI: -4.2% to -0.4%). For low-risk patients, the intervention further reduced ED length of stay (-97.0 min, 95% CI: -120.5 min to -73.5) and inpatient admissions (-4.2%, 95% CI: -6.9 to -1.6%). Exercise stress testing (EST) utilisation decreased by 3.6% (95% CI: 2.3%-4.9%) overall and 7.7% (95% CI: 5.0%-10.4%) among low-risk patients during the intervention phase. Total costs decreased from $6849 to $5794 per patient overall, saving $1055 per patient and from $2847 to $2129 per low-risk patient, saving $718 per patient.

conclusionsThe LEGEND strategy demonstrated reduced resource utilisation and costs compared to guideline-based ACS assessment, particularly for low-risk patients. Widespread adoption could improve the efficiency and cost-effectiveness of ACS assessment in the healthcare system.

Indexed as

Acute Coronary SyndromeEmergency Service, HospitalAgedFemaleHumansLength of StayMaleMiddle AgedQueenslandacute coronary syndromeemergency departmenthealthcare utilisationhigh‐sensitivity troponinresource utilisation

Identifiers

PMID40890896
PMCPMC12402291

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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.