Evidence map›Paper›PMID 34223303›Full record

ArticleResuscitation plus2020

NEWS2 versus a single-parameter system to identify critically ill medical patients in the emergency department.

Stine Engebretsen, Stig Tore Bogstrand, Dag Jacobsen, Valeria Vitelli, Rune Rimstad

Abstract read
In one paragraph

Article in Resuscitation plus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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.

Stine EngebretsenEmergency Department, Division of Emergencies and Critical Care, Oslo University Hospital, Postboks 4950 Nydalen, 0424, Oslo, Norway.
Stig Tore BogstrandDepartment of Forensic Sciences, Oslo University Hospital, Postboks 4950 Nydalen, 0424, Oslo, Norway.
Dag JacobsenDepartment of Acute Medicine, Division of Medicine, Oslo University Hospital, Postboks 4950 Nydalen, 0424, Oslo, Norway.
Valeria VitelliOslo Center for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, Postboks 1122 Blindern, 0317, Oslo, Norway.
Rune RimstadMedicine, Health, Patient Safety and Integration, Oslo University Hospital, Postboks 4950 Nydalen, 0424, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo test National Early Warning Score 2 (NEWS2) versus a single-parameter system to identify critically ill general medical patients in the emergency department (ED), by 1) testing NEWS2s prediction of and association with primary outcome 'mortality' (hospital or 30 day) and secondary outcomes 'intensive care unit (ICU) admission' and 'critical care in ED' and 2) comparing this for different NEWS2 cut-offs and the single-parameter system in use.

methodsRegister-data on adult triage 1 and 2 patients with complete NEWS2 from 2015 and 2016 were retrieved. Prediction was assessed using area under the receiver-operating characteristic curve. Associations were analyzed using multiple logistic regression.

results1586 patients were included. NEWS2 showed poor prediction of 'mortality' (AUC 0.686, CI 0.633-0.739) and adequate prediction of 'ICU admission' (AUC 0.716, CI 0.690-0.742) and 'critical care in ED' (AUC 0.756, CI 0.732-0.780). It was strongly associated with all outcomes (all p<0.001). All NEWS2 cut-offs and the single-parameter system showed poor prediction of all outcomes (all AUCs <0.7). The single-parameter system had the strongest association with 'mortality' (OR 1.688, CI 1.052-2.708, p<0.05) and 'critical care in ED' (OR 3.267, CI 2.490-4.286, p<0.001). NEWS2 > 4 had the strongest association with 'ICU admission' (OR 2.339, CI 1.742-3.141, p<0.001).

conclusionFor identification in order to trigger a response in the ED, outcomes closest in time seem most clinically relevant. As such, the single-parameter system had acceptable performance. NEWS2 > 4 should be considered as an additional trigger due to its association with ICU admission.

Indexed as

Critical careEarly warning scoreEmergency service, HospitalHospital rapid response teamInternal medicine

Identifiers

PMID34223303
PMCPMC8244393

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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.