Evidence map›Paper›PMID 27683509›Full record

ArticleBMJ open2016

The National Early Warning Score (NEWS) for outcome prediction in emergency department patients with community-acquired pneumonia: results from a 6-year prospective cohort study.

Diana Sbiti-Rohr, Alexander Kutz, Mirjam Christ-Crain, Robert Thomann, Werner Zimmerli, Claus Hoess, Christoph Henzen, Beat Mueller, Philipp Schuetz, ProHOSP Study Group

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04394793 (Low Dose Radiation Therapy for Covid-19 Pneumonia), which is not on this map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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.

NCT04394793 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Low Dose Radiation Therapy for Covid-19 Pneumonia: A Pilot Study

TypeinterventionalSponsorAll India Institute of Medical SciencesRan2020 to 2020Enrolled10ConditionsCOVID-19, PneumoniaArmsLow dose radiation therapy
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

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  20. Patient-Related Complexity of Care in Healthcare Organizations: A Management and Evaluation Model.International journal of environmental research and public health · 2020
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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

10 authors at 6 institutions in 1 country.

Diana Sbiti-RohrUniversity Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland.
Alexander KutzUniversity Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland.
Mirjam Christ-CrainDepartment of Internal Medicine, Division of Endocrinology, Diabetes and Clinical Nutrition, University Hospital Basel, Basel, Switzerland.
Robert ThomannDepartment of Internal Medicine, Bürgerspital Solothurn, Solothurn, Switzerland.
Werner ZimmerliBasel University Medical Clinic Liestal, Liestal, Switzerland.
Claus HoessDepartment of Internal Medicine, Kantonsspital Münsterlingen, Münsterlingen, Switzerland.
Christoph HenzenDepartment of Internal Medicine, Kantonsspital Lucerne, Lucerne, Switzerland.
Beat MuellerUniversity Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland.
Philipp SchuetzUniversity Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland.
ProHOSP Study Group
Kantonsspital Aarau · CHKantonsspital Münsterlingen · CHLuzerner Kantonsspital · CHPsychiatry Baselland · CHSolothurner Spitäler · CHUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the accuracy of the National Early Warning Score (NEWS) to predict mortality and adverse clinical outcomes for patients with community-acquired pneumonia (CAP) compared to standard risk scores such as the pneumonia severity index (PSI) and CURB-65.

designSecondary analysis of patients included in a previous randomised-controlled trial with a median follow-up of 6.1 years. SETTINGS: Patients with CAP included on admission to the emergency departments (ED) of 6 tertiary care hospitals in Switzerland.

participantsA total of 925 patients with confirmed CAP were included. NEWS, PSI and CURB-65 scores were calculated on admission to the ED based on admission data.

main outcome measureOur primary outcome was all-cause mortality within 6 years of follow-up. Secondary outcomes were adverse clinical outcome defined as intensive care unit (ICU) admission, empyema and unplanned hospital readmission all occurring within 30 days after admission. We used regression models to study associations of baseline risk scores and outcomes with the area under the receiver operating curve (AUC) as a measure of discrimination.

results6-year overall mortality was 45.1% (n=417) with a stepwise increase with higher NEWS categories. For 30 day and 6-year mortality prediction, NEWS showed only low discrimination (AUC 0.65 and 0.60) inferior compared to PSI and CURB-65. For prediction of ICU admission, NEWS showed moderate discrimination (AUC 0.73) and improved the prognostic accuracy of a regression model, including PSI (AUC from 0.66 to 0.74, p=0.001) and CURB-65 (AUC from 0.64 to 0.73, p=0.015). NEWS was also superior to PSI and CURB-65 for prediction of empyema, but did not well predict rehospitalisation.

conclusionsNEWS provides additional prognostic information with regard to risk of ICU admission and complications and thereby improves traditional clinical-risk scores in the management of patients with CAP in the ED setting. TRIAL REGISTRATION NUMBER: ISRCTN95122877; Post-results.

Indexed as

Community-acquired pneumoniaCURB-65ICU-admissionNational Early warning scorePneumonia severity index

Identifiers

PMID27683509
PMCPMC5051330
OpenAlexW2525018110

What OpenQuestion holds

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LicenceCC BY-NC
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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.