Pediatric Emergency Research Networks: a global initiative in pediatric emergency medicine

2010 ◽  
Vol 17 (4) ◽  
pp. 224-227 ◽  
Author(s):  
Terry P. Klassen ◽  
Jason Acworth ◽  
Liza Bialy ◽  
Karen Black ◽  
James M. Chamberlain ◽  
...  
2018 ◽  
Vol 25 (12) ◽  
pp. 1365-1374 ◽  
Author(s):  
Liza Bialy ◽  
Amy C. Plint ◽  
Stephen B. Freedman ◽  
David W. Johnson ◽  
Janet A. Curran ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Michael Joseph Barrett ◽  
Stuart Dalziel ◽  
Mark Lyttle ◽  
Ronan O'Sullivan

2021 ◽  
Author(s):  
Michael J Barrett ◽  
Stuart Dalziel ◽  
Mark Lyttle ◽  
Ronan O'Sullivan

Objective: During the last three decades newly formed pediatric emergency medicine (PEM) research networks have been publishing research. A desire of these networks is to produce and disseminate research to improve patient health and outcomes. To quantitatively analyze and compare the literature by PEM research networks globally through numeric and visual bibliometrics. Methods: A bibliometric analysis of articles published from 1994 to 2019 (26 years) by authors from PEM research networks globally were retrieved using PubMed, Web of Science (Thompson Reuters) and accessing individual research network databases. Bibliometric analysis was performed utilizing Web of Science, VOSviewer and Dimensions. Research was quantified to ascertain the number of articles, related articles, citations and Altmetric attention score. Results: A total of 493 articles were published across nine research networks in three decades. Pediatric Emergency Care Applied Research Network (PECARN) produced the most articles, citations, and h-index of all networks. We identified three main groupings of productive authors across the networks who collaborate globally. The gender of the first author was female in 46% of publications and the corresponding author(s) was female in 45%. A non-significant moderate positive correlation between the number of years publishing and the number of publications was identified. There was non-significant moderate negative association between the number of countries in a network and total publications per annum. Conclusions: This study is the first bibliometric analysis of publications from PEM research networks that collaborate globally. The gender gap in first authorship compared to high impact medical journals and high impact emergency medicine journals is narrower. Exploring the relationships of numerical bibliometric indicators and visualizations of productivity will benefit the understanding of the generation, reach and dissemination of PEM research within the global research community.


Author(s):  
Tien T. Vu ◽  
Jerri A. Rose ◽  
Veronika Shabanova ◽  
Maybelle Kou ◽  
Noel S. Zuckerbraun ◽  
...  

Author(s):  
Cindy G. Roskind ◽  
Kathryn Leonard ◽  
Aline Baghdassarian ◽  
Maybelle Kou ◽  
Kelly Levasseur ◽  
...  

2016 ◽  
Vol 32 (10) ◽  
pp. 726-730 ◽  
Author(s):  
In K. Kim ◽  
Noel Zuckerbraun ◽  
Maybelle Kou ◽  
Tien Vu ◽  
Kelly Levasseur ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e041093
Author(s):  
Todd Adam Florin ◽  
Daniel Joseph Tancredi ◽  
Lilliam Ambroggio ◽  
Franz E Babl ◽  
Stuart R Dalziel ◽  
...  

IntroductionPneumonia is a frequent and costly cause of emergency department (ED) visits and hospitalisations in children. There are no evidence-based, validated tools to assist physicians in management and disposition decisions for children presenting to the ED with community-acquired pneumonia (CAP). The objective of this study is to develop a clinical prediction model to accurately stratify children with CAP who are at risk for low, moderate and severe disease across a global network of EDs.Methods and analysisThis study is a prospective cohort study enrolling up to 4700 children with CAP at EDs at ~80 member sites of the Pediatric Emergency Research Networks (PERN; https://pern-global.com/). We will include children aged 3 months to <14 years with a clinical diagnosis of CAP. We will exclude children with hospital admissions within 7 days prior to the study visit, hospital-acquired pneumonias or chronic complex conditions. Clinical, laboratory and imaging data from the ED visit and hospitalisations within 7 days will be collected. A follow-up telephone or text survey will be completed 7–14 days after the visit. The primary outcome is a three-tier composite of disease severity. Ordinal logistic regression, assuming a partial proportional odds specification, and recursive partitioning will be used to develop the risk stratification models.Ethics and disseminationThis study will result in a clinical prediction model to accurately identify risk of severe disease on presentation to the ED. Ethics approval was obtained for all sites included in the study. Cincinnati Children’s Hospital Institutional Review Board (IRB) serves as the central IRB for most US sites. Informed consent will be obtained from all participants. Results will be disseminated through international conferences and peer-reviewed publications. This study overcomes limitations of prior pneumonia severity scores by allowing for broad generalisability of findings, which can be actively implemented after model development and validation.


1995 ◽  
Vol 2 (7) ◽  
pp. 665-665 ◽  
Author(s):  
R. W. Schafermeyer ◽  
Stephen Ludwig

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