Evidence map›Paper›PMID 40069742›Full record

ArticleBMC medicine2025

Modifications to the National Early Warning Score 2: a Scoping Review.

Victoria Riccalton, Lynsey Threlfall, Ananya Ananthakrishnan, Cen Cong, Madison Milne-Ives, Peta Le Roux, Chris Plummer, Edward Meinert

Abstract readScoping Review
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Let Our Patients Sleep: A Plea for Common Sense.Neurology. Clinical practice · 2025
    Article
  7. 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.

Victoria RiccaltonTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK.
Lynsey ThrelfallNewcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, NE7 7DN, UK.
Ananya AnanthakrishnanTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK.
Cen CongTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK.
Madison Milne-IvesTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK.
Peta Le RouxNewcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, NE7 7DN, UK.
Chris PlummerNewcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, NE7 7DN, UK.
Edward MeinertTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK. edward.meinert@newcastle.ac.uk.

Funding

National Institute for Health and Care Research BRCIDRAWARD
6 · The paper itself

Abstract

backgroundThe National Early Warning Score 2 (NEWS2) has been adopted as the standard approach for early detection of deterioration in clinical settings in the UK, and is also used in many non-UK settings. Limitations have been identified, including a reliance on 'normal' physiological parameters without accounting for individual variation.

objectiveThis review aimed to map how the NEWS2 has been modified to improve its predictive accuracy while placing minimal additional burden on clinical teams.

methodsThe Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR) and the Population, Intervention, Comparator, Outcome, and Study (PICOS) frameworks were followed to structure the review. Six databases (CINAHL, PubMed, Embase, ScienceDirect, Cochrane Library and Web of Science) were searched for studies which reported the predictive accuracy of a modified version of NEWS2. The references were screened based on keywords using EndNote 21. Title, abstract and full-text screening were performed by 2 reviewers independently in Rayyan. Data was extracted into a pre-established form and synthesised in a descriptive analysis.

resultsTwelve studies were included from 12,867 references. In 11 cases, modified versions of NEWS2 demonstrated higher predictive accuracy for at least one outcome. Modifications that incorporated demographic variables, trend data and adjustments to the weighting of the score's components were found to be particularly conducive to enhancing the predictive accuracy of NEWS2.

conclusionsThree key modifications to NEWS2-incorporating age, nuanced treatment of FiO

Indexed as

Early Warning ScoreHumansUnited KingdomAccuracyClinical decision-makingEarly warning scoreNational early warning scoreNEWS2Risk managementSensitivity and specificity

Identifiers

PMID40069742
PMCPMC11899892

What OpenQuestion holds

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LicenceCC BY
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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.