Evidence map›Paper›PMID 38858101›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2025

Assessing children who are acutely ill in general practice using the National PEWS and LqSOFA clinical scores: a retrospective cohort study.

Amy Clark, Rebecca Cannings-John, Enitan D Carrol, Emma Thomas-Jones, Gerri Sefton, Alastair D Hay, Christopher C Butler, Kathryn Hughes

Abstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Nursing management decisions in fever: a mixed-methods approach to understanding.International journal of nursing studies advances · 2026
    Article
  3. Acutely ill children, safety netting, and NHS printers.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Article
  4. Safety netting in primary care: managing the low incidence, high uncertainty of severe illness.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Article
  5. Review
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.

Amy ClarkPaediatrics, Cambridge University Hospitals NHS Foundation Trust, Cambridge.ORCID 0000-0002-9409-0486
Rebecca Cannings-JohnCentre for Trials Research, Cardiff University, Cardiff.ORCID 0000-0001-5235-6517
Enitan D CarrolDepartment of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool; Infectious Diseases Department, Alder Hey Children's NHS Foundation Trust, Liverpool.ORCID 0000-0001-8357-7726
Emma Thomas-JonesCentre for Trials Research, Cardiff University, Cardiff.ORCID 0000-0001-7716-2786
Gerri SeftonAlder Hey Children's NHS Foundation Trust, Liverpool.ORCID 0000-0003-4159-6341
Alastair D HayPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol.ORCID 0000-0003-3012-375X
Christopher C ButlerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.ORCID 0000-0002-0102-3453
Kathryn HughesPRIME Centre Wales, Division of Population Medicine, Cardiff University, Cardiff.ORCID 0000-0002-8099-066X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical tools are needed in general practice to help identify children who are seriously ill. The Liverpool quick Sequential Organ Failure Assessment (LqSOFA) was validated in an emergency department and performed well. The National Paediatric Early Warning System (PEWS) has been introduced in hospitals throughout England with hopes for implementation in general practice.

aimTo validate the LqSOFA and National PEWS in general practice. DESIGN AND

settingSecondary analysis of 6703 children aged <5 years presenting to 225 general practices in England and Wales with acute illnesses, linked to hospital data.

methodVariables from the LqSOFA and National PEWS were mapped onto study data to calculate score totals. A primary outcome of admission within 2 days of GP consultation was used to calculate sensitivity, specificity, negative predictive values (NPVs), positive predictive values (PPVs), and area under the receiver operating characteristic curve (AUC).

resultsA total of 104/6703 children were admitted to hospital within 2 days (pre-test probability 1.6%) of GP consultation. The sensitivity of the LqSOFA was 30.6% (95% confidence interval [CI] = 21.8% to 41.0%), with a specificity of 84.7% (95% CI = 83.7% to 85.6%), PPV of 3.0% (95% CI = 2.1% to 4.4%), NPV of 98.7% (95% CI = 98.4% to 99.0%), and AUC of 0.58 (95% CI = 0.53 to 0.63). The sensitivity of the National PEWS was 81.0% (95% CI = 71.0% to 88.1%), with a specificity of 32.5% (95% CI = 31.2% to 33.8%), PPV of 1.9% (95% CI = 1.5% to 2.5%), NPV of 99.1% (95% CI = 98.4% to 99.4%), and AUC of 0.66 (95% CI = 0.59 to 0.72).

conclusionAlthough the NPVs appear useful, owing to low pre-test probabilities rather than discriminative ability, neither tool accurately identified admissions to hospital. Unconsidered use by GPs could result in unsustainable referrals.

Indexed as

Early Warning ScoreGeneral PracticeOrgan Dysfunction ScoresAcute DiseaseChild, PreschoolEmergency Service, HospitalEnglandFemaleHospitalizationHumansInfantInfant, NewbornMalePredictive Value of TestsRetrospective StudiesROC Curvechild healthclinical prediction ruleearly warning scoregeneral practiceretrospective studiestriage

Identifiers

PMID38858101
PMCPMC11497154

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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.