Keyword search (4,163 papers available)

"Liu W" Authored Publications:

Title Authors PubMed ID
1 Capacitive bimetallic redox cycles and ligand-to-metal charge transfer to Boost denitrification with Ni sup II /sup /Fe sup II /sup -Gallic acid phenolic networks Yu S; Jin Y; Guo T; Li H; Liu W; Chen Z; Wang X; Guo J; 41707775
ENCS
2 Symptom burden, healthcare utilization, and risky behaviors in survivors of the childhood cancer survivor study (CCSS): an observation cohort study Webster R; Srivastava DK; Xie L; Darji H; Liu W; McGrady ME; Brinkman TM; Alberts NM; Ness KK; Fuemmeler B; Kunin-Batson AS; Huang IC; Armstrong GT; Howell RM; Green DM; Yasui Y; Krull KR; 41340862
PSYCHOLOGY
3 First report of synthetic antioxidants in baby wipes: Insights into occurrence, sources, and infant exposure Wang X; Liu W; Wang J; Johannessen C; Zhang X; Xia K; Wu X; Liu Q; 41259909
CHEMBIOCHEM
4 Engineered iron-sulfur carriers for efficient mixotrophic and sulfur autotrophic denitrification in low carbon to nitrogen ratio municipal wastewater: Mechanisms of biofilm enhancement and electron transfer promotion Yu S; Zhang X; Guo T; Li H; Liu W; Chen Z; Wang X; Ren B; Guo J; 40712941
ENCS
5 Elucidating the size distribution of p‑Phenylenediamine-Derived quinones in atmospheric particles Xia K; Qin M; Han M; Zhang X; Wu X; Liu M; Liu S; Wang X; Liu W; Xie Z; Yuan R; Liu Q; 39978217
CHEMBIOCHEM
6 Study on the mechanism of regulating micromolar Fe utilization and promoting denitrification by guanosine monophosphate (GMP) based multi-signal functional material Hematin@Fe/GMP Hao Y; Guo T; Li H; Liu W; Chen Z; Wang X; Guo J; 39657473
ENCS
7 Amorphous Cu/Fe nanoparticles with tandem intracellular and extracellular electron capacity for enhancing denitrification performance and recovery of co-contaminant suppressed denitrification Fu J; Guo T; Li H; Liu W; Chen Z; Wang X; Guo J; 39542060
ENCS
8 Supporting parent capacity to manage pain in young children with cancer at home: Co-design and usability testing of the PainCaRe app Jibb LA; Liu W; Stinson JN; Nathan PC; Chartrand J; Alberts NM; Hashemi E; Masama T; Pease HG; Torres LB; Cortes HG; Kuczynski S; Liu S; La H; Fortier MA; 39473834
CONCORDIA
9 Fe/GMP functional nanomaterial enhancing the denitrification efficiency by bi-signal regulation: Electron transfer and microbial community Hao Y; Guo T; Li H; Liu W; Chen Z; Zhang W; Wang X; Guo J; 39326537
ENCS
10 Glycemic extremes are related to cognitive dysfunction in children with type 1 diabetes: A meta-analysis He J; Ryder AG; Li S; Liu W; Zhu X; 29573221
PSYCHOLOGY
11 Deep model integrated with data correlation analysis for multiple intermittent faults diagnosis. Yang J, Xie G, Yang Y, Zhang Y, Liu W 31174854
ENCS

 

Title:Glycemic extremes are related to cognitive dysfunction in children with type 1 diabetes: A meta-analysis
Authors:He JRyder AGLi SLiu WZhu X
Link:https://pubmed.ncbi.nlm.nih.gov/29573221/
DOI:10.1111/jdi.12840
Publication:Journal of diabetes investigation
Keywords:ChildrenCognitive functionType 1 diabetes
PMID:29573221 Category: Date Added:2020-07-28
Dept Affiliation: PSYCHOLOGY
1 Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
2 Medical Psychological Institute of Central South University, Changsha, China.
3 Center for Clinical Research in Health & Department of Psychology, Concordia University, Montreal, Quebec, Canada.
4 Culture and Mental Health Research Unit & Lady Davis Institute, Jewish General Hospital, Montreal, Quebec, Canada.

Description:

Aims/introduction: To examine the magnitude and pattern of cognitive dysfunction in children with type 1 diabetes, and the possible effects associated with other disease variables, such as early onset diabetes, severe hypoglycemia and hyperglycemia.

Materials and methods: We carried out a meta-analysis using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. We searched MedLine, Embase and PsycINFO to identify studies on cognitive function in children with type 1 diabetes that were published up until 30 September 2016. Effect sizes understood as the standardized mean differences between groups with diabetes and control groups (i.e., Hedges' g) were calculated to quantify the extent of cognitive dysfunction in those groups consisting of children with diabetes.

Results: A total of 19 studies met our inclusion criteria, comprising 1,355 participants with type 1 diabetes and 696 controls. Compared with non-diabetic controls, children with type 1 diabetes showed a significantly poorer cognitive performance overall (g = -0.46), as well as specific deficits in full-scale intelligence (g = -1.06), attention (g = -0.60) and psychomotor speed (g = -0.46). Glycemic extremes were associated with poorer overall cognition (g = -0.18), as well as slightly lower performance in memory (g = -0.27).

Conclusions: We found that type 1 diabetes was associated with cognitive dysfunction characterized by a lowered intelligence, diminished attention and a slowing of psychomotor speed. Glycemic extremes, which are described as a period of high glucose levels and severe hypoglycemia, were related to cognitive dysfunction in children with type 1 diabetes.





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