Evidence map›Paper›PMID 24633015›Full record

ArticlePloS one2014

The predictive value of the NICE "red traffic lights" in acutely ill children.

Evelien Kerkhof, Monica Lakhanpaul, Samiran Ray, Jan Y Verbakel, Ann Van den Bruel, Matthew Thompson, Marjolein Y Berger, Henriette A Moll, Rianne Oostenbrink, European Research Network on recognising serious InfEctions (ERNIE) members

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Reducing inappropriate antibiotic prescribing for children in primary care: a cluster randomised controlled trial of two interventions.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    Trial
  5. Trial
  6. Observational
  7. Article
  8. Accuracy of the NICE traffic light system in children presenting to general practice: a retrospective cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Fever in Children: Pearls and Pitfalls.Children (Basel, Switzerland) · 2017
    Review
  13. Article
  14. 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

10 authors.

Evelien KerkhofErasmus MC-Sophia Children's Hospital, Department of General Pediatrics, Rotterdam, The Netherlands.
Monica LakhanpaulDepartment of General and Adolescent Pediatrics, University College London, Institute of Child Health, London, United Kingdom.
Samiran RayPediatric Intensive Care Unit, Great Ormond Street Hospital, London, United Kingdom.
Jan Y VerbakelDepartment of General Practice, Katholieke Universiteit Leuven, Leuven, Belgium.
Ann Van den BruelDepartment of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, United Kingdom.
Matthew ThompsonDepartment of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, United Kingdom.
Marjolein Y BergerDepartment of General Practice, University Groningen, University Medical Centre Groningen, Groningen, The Netherlands.
Henriette A MollErasmus MC-Sophia Children's Hospital, Department of General Pediatrics, Rotterdam, The Netherlands.
Rianne OostenbrinkErasmus MC-Sophia Children's Hospital, Department of General Pediatrics, Rotterdam, The Netherlands.
European Research Network on recognising serious InfEctions (ERNIE) members

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEarly recognition and treatment of febrile children with serious infections (SI) improves prognosis, however, early detection can be difficult. We aimed to validate the predictive rule-in value of the National Institute for Health and Clinical Excellence (NICE) most severe alarming signs or symptoms to identify SI in children. DESIGN, SETTING AND

participantsThe 16 most severe ("red") features of the NICE traffic light system were validated in seven different primary care and emergency department settings, including 6,260 children presenting with acute illness.

main outcome measuresWe focussed on the individual predictive value of single red features for SI and their combinations. Results were presented as positive likelihood ratios, sensitivities and specificities. We categorised "general" and "disease-specific" red features. Changes in pre-test probability versus post-test probability for SI were visualised in Fagan nomograms.

resultsAlmost all red features had rule-in value for SI, but only four individual red features substantially raised the probability of SI in more than one dataset: "does not wake/stay awake", "reduced skin turgor", "non-blanching rash", and "focal neurological signs". The presence of ≥ 3 red features improved prediction of SI but still lacked strong rule-in value as likelihood ratios were below 5.

conclusionsThe rule-in value of the most severe alarming signs or symptoms of the NICE traffic light system for identifying children with SI was limited, even when multiple red features were present. Our study highlights the importance of assessing the predictive value of alarming signs in clinical guidelines prior to widespread implementation in routine practice.

Indexed as

Acute DiseaseEarly DiagnosisAdolescentChildChild, PreschoolFemaleFeverHumansInfantInfant, NewbornLikelihood FunctionsMale

Identifiers

PMID24633015
PMCPMC3954615

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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.