Evidence map›Paper›PMID 35801231›Full record

ReviewResuscitation plus2022

Do paediatric early warning systems reduce mortality and critical deterioration events among children? A systematic review and meta-analysis.

Shu-Ling Chong, Mark Sen Liang Goh, Gene Yong-Kwang Ong, Jason Acworth, Rehena Sultana, Sarah Hui Wen Yao, Kee Chong Ng, International Liaison Committee on Resuscitation (ILCOR) and ILCOR Pediatric Life Support Task Force

Abstract readReview
In one paragraph

Review in Resuscitation plus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Article
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  9. [Early warning scores: a rapid umbrella review].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2025
    Review
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  12. Can the BIG score reliably predict outcomes in pediatric traumatic brain ınjury?Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
    Article
  13. Article
  14. Article
  15. Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019-2023.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2025
    Article
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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

8 authors.

Shu-Ling ChongDepartment of Emergency Medicine, KK Women's and Children's Hospital, Singapore 100, Bukit Timah Road, Singapore 229899, Singapore.
Mark Sen Liang GohDepartment of Internal Medicine, National University Hospital System, Singapore 5 Lower Kent Ridge Road, Singapore 119074, Singapore.
Gene Yong-Kwang OngDepartment of Emergency Medicine, KK Women's and Children's Hospital, Singapore 100, Bukit Timah Road, Singapore 229899, Singapore.
Jason AcworthEmergency Department, Queensland Children's Hospital, Australia 501 Stanley St, South Brisbane, QLD 4101, Australia.
Rehena SultanaCentre of Quantitative Medicine, Duke-NUS Medical School, Singapore 8 College Road, Singapore 169857, Singapore.
Sarah Hui Wen YaoDepartment of Emergency Medicine, KK Women's and Children's Hospital, Singapore 100, Bukit Timah Road, Singapore 229899, Singapore.
Kee Chong NgDepartment of Emergency Medicine, KK Women's and Children's Hospital, Singapore 100, Bukit Timah Road, Singapore 229899, Singapore.
International Liaison Committee on Resuscitation (ILCOR) and ILCOR Pediatric Life Support Task Force

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: We conducted a systematic review and meta-analysis to answer the question: Does the implementation of Paediatric Early Warning Systems (PEWS) in the hospital setting reduce mortality, cardiopulmonary arrests, unplanned codes and critical deterioration events among children, as compared to usual care without PEWS? Methods: We conducted a comprehensive search using Medline, EMBASE, Cochrane Central Register of Controlled Trials, Cumulative Index to Nursing and Allied Health Literature and Web of Science. We included studies published between January 2006 and April 2022 on children <18 years old performed in inpatient units and emergency departments, and compared patient populations with PEWS to those without PEWS. We excluded studies without a comparator, case control studies, systematic reviews, and studies published in non-English languages. We employed a random effects meta-analysis and synthesised the risk and rate ratios from individual studies. We used the Scottish Intercollegiate Guidelines Network (SIGN) to appraise the risk of bias. Results: Among 911 articles screened, 15 were included for descriptive analysis. Fourteen of the 15 studies were pre- versus post-implementation studies and one was a multi-centre cluster randomised controlled trial (RCT). Among 10 studies (580,604 hospital admissions) analysed for mortality, we found an increased risk (pooled RR 1.18, 95% CI 1.01-1.38, Conclusions: Healthcare systems that implemented PEWS were associated with reduced mortality and code rates. We recognise that these gains vary depending on resource availability and efferent response systems.PROSPERO registration: CRD42021269579.

Indexed as

ChildEarly Warning ScoresMortalityResuscitation

Identifiers

PMID35801231
PMCPMC9253845

What OpenQuestion holds

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Registered trials

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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.