Evidence map›Paper›PMID 30716123›Full record

Trial reportPloS one2019

The Copenhagen Triage Algorithm is non-inferior to a traditional triage algorithm: A cluster-randomized study.

Rasmus Bo Hasselbalch, Mia Pries-Heje, Martin Schultz, Louis Lind Plesner, Lisbet Ravn, Morten Lind, Rasmus Greibe, Birgitte Nybo Jensen, Thomas Høi-Hansen, Nicholas Carlson and 3 more

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02698319 (The Copenhagen Triage Algorithm), which is not on this 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.

NCT02698319 nacompletednot on this map

The Copenhagen Triage Algorithm

TypeinterventionalSponsorHerlev HospitalRan2015 to 2016Enrolled50,000ConditionsTriageArmsCopenhagen Triage Algorithm
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  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

13 authors.

Rasmus Bo HasselbalchDepartment of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.ORCID 0000-0003-4274-6268
Mia Pries-HejeDepartment of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.
Martin SchultzDepartment of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.ORCID 0000-0002-1259-645X
Louis Lind PlesnerDepartment of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.
Lisbet RavnDepartment of Emergency Medicine, Herlev-Gentofte Hospital, Copenhagen, Denmark.
Morten LindDepartment of Emergency Medicine, Herlev-Gentofte Hospital, Copenhagen, Denmark.
Rasmus GreibeDepartment of Cardiology, Bispebjerg Hospital, Copenhagen, Denmark.
Birgitte Nybo JensenDepartment of Emergency Medicine, Bispebjerg Hospital, Copenhagen, Denmark.
Thomas Høi-HansenDepartment of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.
Nicholas CarlsonDepartment of Cardiology, Gentofte Hospital, Copenhagen, Denmark.
Christian Torp-PedersenDepartment of Health, Science and Technology, Aalborg University and Department of Cardiology and Epidemiology/Biostatistics, Aalborg University Hospital, Aalborg, Denmark.
Lars S RasmussenDepartment of Anaesthesia, Center of Head and Orthopaedics, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-7480-3004
Kasper IversenDepartment of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTriage systems with limited room for clinical judgment are used by emergency departments (EDs) worldwide. The Copenhagen Triage Algorithm (CTA) is a simplified triage system with a clinical assessment.

methodsThe trial was a non-inferiority, two-center cluster-randomized crossover study where CTA was compared to a local adaptation of Adaptive Process Triage (ADAPT). CTA involves initial categorization based on vital signs with a final modification based on clinical assessment by an ED nurse. We used 30-day mortality with a non-inferiority margin at 0.5%. Predictive performance was compared using Receiver Operator Characteristics.

resultsWe included 45,347 patient visits, 23,158 (51%) and 22,189 (49%) were triaged with CTA and ADAPT respectively with a 30-day mortality of 3.42% and 3.43% (P = 0.996) a difference of 0.01% (95% CI: -0.34 to 0.33), which met the non-inferiority criteria. Mortality at 48 hours was 0.62% vs. 0.71%, (P = 0.26) and 6.38% vs. 6.61%, (P = 0.32) at 90 days for CTA and ADAPT. CTA triaged at significantly lower urgency level (P<0.001) and was superior in predicting 30-day mortality, Area under the curve: 0.67 (95% CI 0.65-0.69) compared to 0.64 for ADAPT (95% CI 0.62-0.66) (P = 0.03). There were no significant differences in rate of admission to the intensive care unit, length of stay, waiting time nor rate of readmission within 30 or 90 days.

conclusionA novel triage system based on vital signs and a clinical assessment by an ED nurse was non-inferior to a traditional triage algorithm by short term mortality, and superior in predicting 30-day mortality.

trial registrationClinicaltrials.gov NCT02698319.

Indexed as

AlgorithmsEmergency Service, HospitalHospital MortalityTriageAdultAgedAged, 80 and overCross-Over StudiesDenmarkFemaleHumansMaleMiddle AgedTime Factors

Identifiers

PMID30716123
PMCPMC6361446

What OpenQuestion holds

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Registered trials

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.