Elizabeth Littlejohn
Overview
Explore the profile of Elizabeth Littlejohn including associated specialties, affiliations and a list of published articles.
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Articles
36
Citations
491
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Recent Articles
1.
Al-Agailat L, Guertin S, Littlejohn E
BMJ Case Rep
. 2024 Aug;
17(8).
PMID: 39142843
Hypertriglyceridaemia-induced acute pancreatitis (HTG-AP) remains one of the common metabolic causes of acute pancreatitis in the paediatric population and the third most common cause after alcohol and gallstones in the...
2.
Littlejohn E, Schein R
Pediatr Ann
. 2024 Jul;
53(7):e242-e243.
PMID: 38949872
No abstract available.
3.
Miller J, Gevers E, Bridges N, Yanovski J, Salehi P, Obrynba K, et al.
Obesity (Silver Spring)
. 2023 Nov;
32(2):252-261.
PMID: 37919617
Objective: This study assessed the effect of 1-year administration of diazoxide choline extended-release tablet (DCCR) on hyperphagia and other complications of Prader-Willi syndrome (PWS). Methods: The authors studied 125 participants...
4.
Jimenez A, Littlejohn E
Pediatr Ann
. 2023 Feb;
52(2):e51-e56.
PMID: 36779884
In 1997, the World Health Organization declared obesity a global epidemic. Despite multiple efforts, obesity rates have been exponentially increasing for the past few decades. In the last few years,...
5.
Al-Agailat L, Littlejohn E
Pediatr Ann
. 2023 Feb;
52(2):e48-e50.
PMID: 36779879
Obesity remains a significant public health issue that leads to serious acute and chronic diseases. The prevalence of childhood obesity is on the rise, especially when taking into consideration the...
6.
7.
Miller J, Gevers E, Bridges N, Yanovski J, Salehi P, Obrynba K, et al.
J Clin Endocrinol Metab
. 2023 Jan;
108(7):1676-1685.
PMID: 36639249
Context: Prader-Willi syndrome (PWS) is a rare neurobehavioral-metabolic disease caused by the lack of paternally expressed genes in the chromosome 15q11-q13 region, characterized by hypotonia, neurocognitive problems, behavioral difficulties, endocrinopathies,...
8.
Yu X, Rashid M, Feng J, Hobbs N, Hajizadeh I, Samadi S, et al.
IEEE Trans Control Syst Technol
. 2020 Jul;
28(1):3-15.
PMID: 32699492
Streaming data from continuous glucose monitoring (CGM) systems enable the recursive identification of models to improve estimation accuracy for effective predictive glycemic control in patients with type-1 diabetes. A drawback...
9.
Feng J, Hajizadeh I, Yu X, Rashid M, Samadi S, Sevil M, et al.
AIChE J
. 2019 Aug;
65(2):629-639.
PMID: 31447487
Erroneous information from sensors affect process monitoring and control. An algorithm with multiple model identification methods will improve the sensitivity and accuracy of sensor fault detection and data reconciliation (SFD&DR)....
10.