1
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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July 2018 List
Text
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Citation List Month
July 2018 List
URL Address
<a href="http://doi.org/10.1001/jamapediatrics.2018.0256" target="_blank" rel="noreferrer noopener">http://doi.org/10.1001/jamapediatrics.2018.0256</a>
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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R Package for Pediatric Complex Chronic Condition Classification
Publisher
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JAMA.
Date
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2018
Creator
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Gordon LB; Shappell H; Massaro J; D'Agostino Sr RB; Brazier J; Campbell SE; Kleinman ME; Kieran MW
Identifier
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<a href="http://doi.org/10.1001/jamapediatrics.2018.0256" target="_blank" rel="noreferrer noopener">10.1001/jamapediatrics.2018.0256</a>
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Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
Description
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Identification of children with complex chronic conditions (CCCs) is necessary to improve health care delivery and perform clinical research, because this patient population uses significant inpatient and outpatient medical resources.1 The original CCC classification was published in 2000.2 A second version was published in 2014 to reflect additions to the International Classification of Diseases system and the US adoption of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision.3 The CCC classification is widely used in research (currently cited in more than 100 peer-reviewed journal publications). However, the current approach to assigning the CCC categories in health care–related data sets is limited by proprietary software and computational inefficiency. SAS and Stata software to assign CCC categories were published as appendices to the 2014 update,3 but not all investigators have access to these statistical packages. In addition, increasingly large data sets are available to investigators. Although the data processing capability of individual computers continues to improve, the SAS and Stata software can take significant time to run on data sets with millions of observations. The objective of this project was to develop computationally efficient software to generate the CCC categories using R, a free, open-source statistical environment.4 We then compared the SAS, Stata, and R software with respect to accuracy and speed of classification on a typical desktop system.
0 (Enzyme Inhibitors)
0 (Lamin Type A)
0 (Piperidines)
0 (prelamin A)
0 (Pyridines)
2018
Adolescent
Adult
Brazier J
Campbell SE
Cause Of Death
Child
Cohort Studies
D'Agostino Sr RB
EC 2.7.4.- (farnesyl phosphate kinase)
EC 2.7.4.- (Phosphotransferases (Phosphate Group Acceptor))
Enzyme Inhibitors/therapeutic use
Female
Gordon LB
Humans
IOW153004F (lonafarnib)
JAMA.
July 2018 List
Kaplan-Meier Estimate
Kieran MW
Kleinman ME
Lamin Type A/biosynthesis/metabolism
Male
Massaro J
Phosphotransferases (Phosphate Group Acceptor)/antagonists & inhibitors
Piperidines/therapeutic use
Post-Translational
Progeria/drug therapy/genetics/mortality
Protein Processing
Pyridines/therapeutic use
Shappell H
Young Adult