Evidence map›Paper›PMID 33408214›Full record

SynthesisBMJ open2021

Risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review.

Maria-Alexandra Petre, Bibek Saha, Shugo Kasuya, Marina Englesakis, Nan Gai, Arie Peliowski, Kazuyoshi Aoyama

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Risk factors for pediatric emergence delirium: a systematic review.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. 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

7 authors at 5 institutions in 3 countries.

Maria-Alexandra PetreDepartment of Pediatric Anesthesia, Montreal Children's Hospital, McGill University, Montreal, Quebec, Canada.
Bibek SahaJohn A Burns School of Medicine at University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.
Shugo KasuyaDepartment of Anesthesia and Critical Care Medicine, National Center for Child Health and Development, Setagaya-ku, Tokyo, Japan.
Marina EnglesakisLibrary and Information Services, University Health Network, Toronto, Ontario, Canada.
Nan GaiDepartment of Anesthesia and Pain Medicine, Hospital of Sick Children, University of Toronto, Toronto, Ontario, Canada.
Arie PeliowskiDepartment of Anesthesia and Pain Medicine, Hospital of Sick Children, University of Toronto, Toronto, Ontario, Canada.
Kazuyoshi AoyamaDepartment of Anesthesia and Pain Medicine, Hospital of Sick Children, University of Toronto, Toronto, Ontario, Canada kazu.aoyama@utoronto.ca.ORCID 0000-0002-7502-0896
University of Toronto · CAMontreal Children's Hospital · CANational Center For Child Health and Development · JPUniversity Health Network · CAUniversity of Hawaiʻi at Mānoa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEmergence delirium (ED) occurs in approximately 25% of paediatric general anaesthetics and has significant adverse effects. The goal of the current systematic review was to identify the existing literature investigating performance of predictive models for the development of paediatric ED following general anaesthesia and to determine their usability.

designSystematic review using the Prediction model study Risk Of Bias Assessment Tool (PROBAST) framework. DATA SOURCES: Medline (Ovid), PubMed, Embase (Ovid), Cochrane Database of Systematic Reviews (Ovid), Cochrane CENTRAL (Ovid), PsycINFO (Ovid), Scopus (Elsevier) and Web of Science (Clarivate Analytics), ClinicalTrials.gov, International Clinical Trials Registry Platform and ProQuest Digital Dissertations and Theses International through 17 November 2020. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: All randomised controlled trials and cohort studies investigating predictive models for the development of ED in children undergoing general anaesthesia. DATA EXTRACTION AND SYNTHESIS: Following title, abstract and full-text screening by two reviewers, data were extracted from all eligible studies, including demographic parameters, details of anaesthetics and performance characteristics of the predictive scores for ED. Evidence quality and predictive score usability were assessed according to the PROBAST framework.

resultsThe current systematic review yielded 9242 abstracts, of which only one study detailing the development and validation of the Emergence Agitation Risk Scale (EARS) met the inclusion criteria. EARS had good discrimination with c-index of 0.81 (95% CI 0.72 to 0.89). Calibration showed a non-significant Homer-Lemeshow goodness-of-fit test (p=0.97). Although the EARS demonstrated low concern of applicability, the high risk of bias compromised the overall usability of this model.

conclusionsThe current systematic review concluded that EARS has good discrimination performance but low usability to predict ED in a paediatric population. Further research is warranted to develop novel models for the prediction of ED in paediatric anaesthesia. PROSPERO REGISTRATION NUMBER: CRD42019141950.

Indexed as

Anesthesia, GeneralBiasChildCognitionCognition DisordersEmergence DeliriumHumansRisk AssessmentSurgical Procedures, OperativeDelirium & cognitive disordersemergence deliriumPaediatric anaesthesia

Identifiers

PMID33408214
PMCPMC7789445
OpenAlexW3120842684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.