Evidence map›Paper›PMID 35005661›Full record

ArticleResuscitation plus2022

The predictive power of the National Early Warning Score (NEWS) 2, as compared to NEWS, among patients assessed by a Rapid response team: A prospective multi-centre trial.

Anna Thorén, Eva Joelsson-Alm, Martin Spångfors, Araz Rawshani, Thomas Kahan, Johan Engdahl, Martin Jonsson, Therese Djärv

Open access · goldAbstract read
In one paragraph

Article in Resuscitation plus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Mortality risk ranking after medical emergency team review: External validation and redevelopment of predictive models.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
    Article
  3. Article
  4. Sepsis and the immunometabolic inflammatory response.npj metabolic health and disease · 2026
    Review
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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

8 authors at 4 institutions in 1 country.

Anna ThorénDepartment of Medicine Solna, Centre for Resuscitation Science, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Eva Joelsson-AlmDepartment of Clinical Science and Education, Karolinska Institutet, SE-118 83 Stockholm, Sweden.
Martin SpångforsDepartment of Clinical Sciences, Lund University, SE-221 84 Lund, Sweden.
Araz RawshaniDepartment of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, SE-405 30 Gothenburg, Sweden.
Thomas KahanDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, SE-182 88 Stockholm, Sweden.
Johan EngdahlDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, SE-182 88 Stockholm, Sweden.
Martin JonssonDepartment of Clinical Science and Education, Centre for Resuscitation Science, Karolinska Institutet, Södersjukhuset, SE-118 83 Stockholm, Sweden.
Therese DjärvDepartment of Medicine Solna, Centre for Resuscitation Science, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Karolinska Institutet · SEKarolinska University Hospital · SEKristianstad University · SEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimEarly identification of patients at risk of serious adverse events (SAEs) is of vital importance, yet it remains a challenging task. We investigated the predictive power of National Early Warning Score (NEWS) 2, as compared to NEWS, among patients assessed by a Rapid response team (RRT).

methodsProspective, observational cohort study on 898 consecutive patients assessed by the RRTs in 26 Swedish hospitals. For each patient, NEWS and NEWS 2 scores were uniformly calculated by the study team. The associations of NEWS and NEWS 2 scores with unanticipated admissions to Intensive care unit (ICU), mortality and in-hospital cardiac arrests (IHCA) within 24 h, and the composite of these three events were investigated using logistic regression. The predictive power of NEWS and NEWS 2 was assessed using the area under the receiver operating characteristic (AUROC) curves.

resultsThe prognostic accuracy of NEWS/NEWS 2 in predicting mortality was acceptable (AUROC 0.69/0.67). In discriminating the composite outcome and unanticipated ICU admission, both NEWS and NEWS 2 were relatively weak (AUROC 0.62/0.62 and AUROC 0.59/0.60 respectively); for IHCA the performance was poor. There were no differences between NEWS and NEWS 2 as to the predictive power.

conclusionThe prognostic accuracy of NEWS 2 to predict mortality within 24 h was acceptable. However, the prognostic accuracy of NEWS 2 to predict IHCA was poor. NEWS and NEWS 2 performed similar in predicting the risk of SAEs but their performances were not sufficient for use as a risk stratification tool in patients assessed by a RRT.

Indexed as

AUROC, Area under the receiver operating characteristic curvesCI, Confidence intervalICU, Intensive care unitIHCAIHCA, In hospital cardiac arrestIn-hospital cardiac arrestMortalityNational early warning scoreNational early warning score 2NEWS, National Early Warning ScoreOR, Odds ratioRapid response teamRRT, Rapid response teamSAE, Serious adverse eventVital signs

Identifiers

PMID35005661
PMCPMC8718668
OpenAlexW4200293799

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.