Evidence map›Paper›PMID 29486493›Full record

Trial reportJAMA2018

Effect of a Pediatric Early Warning System on All-Cause Mortality in Hospitalized Pediatric Patients: The EPOCH Randomized Clinical Trial.

Christopher S Parshuram, Karen Dryden-Palmer, Catherine Farrell, Ronald Gottesman, Martin Gray, James S Hutchison, Mark Helfaer, Elizabeth A Hunt, Ari R Joffe, Jacques Lacroix and 8 more

Registry-linked trialAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in JAMA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01260831 (Evaluating Processes of Care & the Outcomes of Children in Hospital), which is not on this map. Cited by 86 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 4 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.

NCT01260831 phase2completednot on this map

Evaluating Processes of Care & the Outcomes of Children in Hospital (EPOCH): a Cluster Randomized Trial of the Bedside Paediatric Early Warning System

TypeinterventionalSponsorThe Hospital for Sick ChildrenRan2011 to 2015Enrolled144,539ConditionsCritically Ill ChildrenArmsImplementation of Bedside Paediatric Early Warning System, Hospital Standard of Care
3 · Its place in the literature

Who cites it

86 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Observational
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Explaining alerts from a pediatric risk prediction model using clinical text.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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
  19. Article
  20. Article

26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Christopher S ParshuramCritical Care Program, Hospital for Sick Children, Toronto, Ontario, Canada.
Karen Dryden-PalmerCritical Care Program, Hospital for Sick Children, Toronto, Ontario, Canada.
Catherine FarrellDivision of Pediatric Intensive Care, Centre Hospitalier Universitaire de Ste-Justine, Montreal, Quebec, Canada.
Ronald GottesmanMontreal Children's Hospital, Montreal, Quebec, Canada.
Martin GrayCritical Care Program, Hospital for Sick Children, Toronto, Ontario, Canada.
James S HutchisonCritical Care Program, Hospital for Sick Children, Toronto, Ontario, Canada.
Mark HelfaerChildren's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Elizabeth A HuntJohns Hopkins Hospital, Baltimore, Maryland.
Ari R JoffeStollery Children's Hospital, University of Alberta, Edmonton, Canada.
Jacques LacroixDivision of Pediatric Intensive Care, Centre Hospitalier Universitaire de Ste-Justine, Montreal, Quebec, Canada.
Michael Alice MogaCritical Care Program, Hospital for Sick Children, Toronto, Ontario, Canada.
Vinay NadkarniChildren's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Nelly NinisSt Mary's Imperial Healthcare, London, England.
Patricia C ParkinChild Health Evaluative Sciences Program, SickKids Research Institute, Toronto, Ontario, Canada.
David WensleyBritish Columbia Children's Hospital, Vancouver, Canada.
Andrew R WillanOntario Child Health Support Unit, SickKids Research Institute, Toronto, Canada.
George A TomlinsonInstitute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Canadian Critical Care Trials Group and the EPOCH Investigators

Funding

CIHR
6 · The paper itself

Abstract

Importance: There is limited evidence that the use of severity of illness scores in pediatric patients can facilitate timely admission to the intensive care unit or improve patient outcomes. Objective: To determine the effect of the Bedside Paediatric Early Warning System (BedsidePEWS) on all-cause hospital mortality and late admission to the intensive care unit (ICU), cardiac arrest, and ICU resource use. Design, Setting, and Participants: A multicenter cluster randomized trial of 21 hospitals located in 7 countries (Belgium, Canada, England, Ireland, Italy, New Zealand, and the Netherlands) that provided inpatient pediatric care for infants (gestational age ≥37 weeks) to teenagers (aged ≤18 years). Participating hospitals had continuous physician staffing and subspecialized pediatric services. Patient enrollment began on February 28, 2011, and ended on June 21, 2015. Follow-up ended on July 19, 2015. Interventions: The BedsidePEWS intervention (10 hospitals) was compared with usual care (no severity of illness score; 11 hospitals). Main Outcomes and Measures: The primary outcome was all-cause hospital mortality. The secondary outcome was a significant clinical deterioration event, which was defined as a composite outcome reflecting late ICU admission. Regression analyses accounted for hospital-level clustering and baseline rates. Results: Among 144 539 patient discharges at 21 randomized hospitals, there were 559 443 patient-days and 144 539 patients (100%) completed the trial. All-cause hospital mortality was 1.93 per 1000 patient discharges at hospitals with BedsidePEWS and 1.56 per 1000 patient discharges at hospitals with usual care (adjusted between-group rate difference, 0.01 [95% CI, -0.80 to 0.81 per 1000 patient discharges]; adjusted odds ratio, 1.01 [95% CI, 0.61 to 1.69]; P = .96). Significant clinical deterioration events occurred during 0.50 per 1000 patient-days at hospitals with BedsidePEWS vs 0.84 per 1000 patient-days at hospitals with usual care (adjusted between-group rate difference, -0.34 [95% CI, -0.73 to 0.05 per 1000 patient-days]; adjusted rate ratio, 0.77 [95% CI, 0.61 to 0.97]; P = .03). Conclusions and Relevance: Implementation of the Bedside Paediatric Early Warning System compared with usual care did not significantly decrease all-cause mortality among hospitalized pediatric patients. These findings do not support the use of this system to reduce mortality. Trial Registration: clinicaltrials.gov Identifier: NCT01260831.

Indexed as

Decision Support TechniquesHospital MortalitySeverity of Illness IndexChildChild MortalityHeart ArrestHospitalizationHumansIntensive Care Units, PediatricTime Factors

Identifiers

PMID29486493
PMCPMC5885881

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.