Evidence map›Paper›PMID 34385819›Full record

ArticleJournal of multidisciplinary healthcare2021

National Early Warning Score in Predicting Severe Adverse Outcomes of Emergency Medicine Patients: A Retrospective Cohort Study.

Lan Chen, Han Zheng, Lijun Chen, Sunying Wu, Saibin Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

18 citing papers in PubMed, 35 citations in OpenAlex.

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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 at 1 institution in 1 country.

Lan ChenNursing Education Department, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, Zhejiang Province, People's Republic of China.
Han ZhengEmergency Department, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, Zhejiang Province, People's Republic of China.
Lijun ChenEmergency Department, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, Zhejiang Province, People's Republic of China.
Sunying WuEmergency Department, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, Zhejiang Province, People's Republic of China.
Saibin WangDepartment of Respiratory Medicine, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, 321000, Zhejiang Province, People's Republic of China.ORCID 0000-0002-1749-1200
Jinhua Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor emergency triage, it is very important to identify patient severity according to their vital signs and chief complaint. Several studies have examined the predictive value of the National Early Warning Score (NEWS) for specific emergency patients and have shown it to be effective. However, few have studied the utility of NEWS in emergency triage for general emergency medicine patients. The aim of this research was to investigate the performance of NEWS in emergency triage with regard to predicting adverse outcomes.

methodsThis was a retrospective cohort study carried out at a tertiary care center hospital in Jinhua, China. A total of 62,403 patients attending the emergency department (ED) from January to December 2018 were included. The NEWS, Modified Early Warning Score (MEWS), and quick Sepsis Related Organ Failure Assessment (qSOFA) score were obtained from emergency triage. Multivariate logistic regression analysis was performed to evaluate the associations between the NEWS, MEWS, and qSOFA, as well as those between other parameters with ED mortality. The predictive performances for emergency observation, death, and intensive care unit (ICU) admission of NEWS, MEWS and qSOFA were compared to the area under the receiver operating characteristic curve (AUROC).

resultsOf the total participants, 6502 were placed under emergency observation, 106 died in the ED, 638 were admitted to the ICU, and 324 died in-hospital. The NEWS, qSOFA, age, and gender were significantly associated with ED mortality. NEWS was significantly better at discriminating all outcomes, and the area under the curve and 95% confidence intervals for ED mortality, observation in ED, composite of ED mortality and ICU admission, and in-hospital mortality were 0.862 (0.859-0.865), 0.691 (0.687-0.695), 0.859 (0.856-0.861), and 0.805 (0.802-0.808), respectively.

conclusionNEWS shows good performance in discriminating critical emergency patients in ED triage for emergency medicine patients.

Indexed as

emergency departmentNational Early Warning Scoreoutcomespredicttriage

Identifiers

PMID34385819
PMCPMC8354023
OpenAlexW3191214328

What OpenQuestion holds

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LicenceCC BY-NC
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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.