Evidence map›Paper›PMID 27007109›Full record

ArticleIntensive care medicine2016

Development and validation of the pediatric risk estimate score for children using extracorporeal respiratory support (Ped-RESCUERS).

Ryan P Barbaro, Philip S Boonstra, Matthew L Paden, Lloyd A Roberts, Gail M Annich, Robert H Bartlett, Frank W Moler, Matthew M Davis

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Intensive care medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 71 citations in OpenAlex.

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  18. [Research advances in the treatment strategies for severe pertussis in children].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2021
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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 at 4 institutions in 3 countries.

Ryan P BarbaroDepartment of Pediatrics, University of Michigan, 1500 East Medical Center Drive, Mott F-6790/Box 5243, Ann Arbor, MI, 48109, USA. barbaror@med.umich.edu.
Philip S BoonstraSchool of Public Health Department of Biostatistics, University of Michigan, Ann Arbor, USA.
Matthew L PadenDivision of Pediatric Critical Care, Emory University, Atlanta, GA, USA.
Lloyd A RobertsIntensive Care Department, Alfred Hospital and School of Public Health and Preventative Medicine, Monash University Melbourne, Clayton, Australia.
Gail M AnnichCritical Care Medicine, University of Toronto, Toronto, Canada.
Robert H BartlettDepartment of Surgery, University of Michigan, Ann Arbor, USA.
Frank W MolerChild Health Evaluation and Research (CHEAR) Unit, University of Michigan, Ann Arbor, USA.
Matthew M DavisDepartment of Pediatrics, University of Michigan, 1500 East Medical Center Drive, Mott F-6790/Box 5243, Ann Arbor, MI, 48109, USA.
University of Michigan–Ann Arbor · USEmory University · USMonash University · AUUniversity of Toronto · CA

Funding

PEDIATRIC HEALTH SERVICES RESEARCH TRAININGT32HD007534 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVIS, MATTHEW M · 2000 to 2014
$3.7M
NICHD NIH HHS T32 HD007534
6 · The paper itself

Abstract

purposeTo develop and validate the Pediatric Risk Estimation Score for Children Using Extracorporeal Respiratory Support (Ped-RESCUERS). Ped-RESCUERS is designed to estimate the in-hospital mortality risk for children prior to receiving respiratory extracorporeal membrane oxygenation (ECMO) support.

methodsThis study used data from an international registry of patients aged 29 days to less than 18 years who received ECMO support from 2009 to 2014. We divided the registry into development and validation datasets by calendar date. Candidate variables were selected for model inclusion if the variable independently changed the mortality risk by at least 2 % in a Bayesian logistic regression model with in-hospital mortality as the outcome. We characterized the model's ability to discriminate mortality with the area under curve (AUC) of the receiver operating characteristic.

resultsFrom 2009 to 2014, 2458 non-neonatal children received ECMO for respiratory support, with a mortality rate of 39.8 %. The development dataset contained 1611 children receiving ECMO support from 2009 to 2012. The model included the following variables: pre-ECMO pH, pre-ECMO arterial partial pressure of carbon dioxide, hours of intubation prior to ECMO support, hours of admission at ECMO center prior to ECMO support, ventilator type, mean airway pressure, pre-ECMO use of milrinone, and a diagnosis of pertussis, asthma, bronchiolitis, or malignancy. The validation dataset included 438 children receiving ECMO support from 2013 to 2014. The Ped-RESCUERS model from the development dataset had an AUC of 0.690, and the validation dataset had an AUC of 0.634.

conclusionsPed-RESCUERS provides a novel measure of pre-ECMO mortality risk. Future studies should seek external validation and improved discrimination of this mortality prediction tool.

Indexed as

AdolescentBayes TheoremChildChild, PreschoolExtracorporeal Membrane OxygenationFemaleHospital MortalityHumansInfantInfant, NewbornMaleRegistriesRespiratory InsufficiencyRisk AssessmentTreatment OutcomeExtracorporeal membrane oxygenationMortalityPediatricRisk adjustmentRisk assessmentSeverity of illness index

Identifiers

PMID27007109
PMCPMC6379065
OpenAlexW2310385503

What OpenQuestion holds

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LicenceTDM
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.