scholarly journals Established and emerging biomarkers for the prediction of type 1 diabetes: a systematic review

2014 ◽  
Vol 164 (2) ◽  
pp. 110-121 ◽  
Author(s):  
Renecia A. Watkins ◽  
Carmella Evans-Molina ◽  
Janice S. Blum ◽  
Linda A. DiMeglio
Keyword(s):  
Systematic Review ◽  
Type 1 Diabetes

Time in range for multiple technologies in type 1 diabetes: a systematic review and network meta-analysis

2020 ◽  
Author(s):  
Anthony Pease ◽  
Clement Lo ◽  
Arul Earnest ◽  
Velislava Kiriakova ◽  
Danny Liew ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 1 Diabetes ◽  
Closed Loop ◽  
Meta Analysis ◽  
Management Strategies ◽  
Glucose Testing ◽  
Closed Loop Systems ◽  
Percent Time ◽  
Time In Range

<b>Background: </b>Time-in-range is a key glycaemic metric, and comparisons of management technologies for this outcome are critical to guide device selection. <p><b> </b></p> <p><b>Purpose: </b>We conducted a systematic review and network meta-analysis to compare and rank technologies for time in glycaemic ranges.</p> <p> </p> <p><b>Data sources: </b>We searched All Evidenced Based Medicine Reviews, CINAHL, EMBASE, MEDLINE, MEDLINE In-Process and other non-indexed citations, PROSPERO, PsycINFO, PubMed, and Web of Science until 24 April, 2019.</p> <p> </p> <p><b>Study selection: </b>We included randomised controlled trials <u>></u>2 weeks duration comparing technologies for management of type 1 diabetes in adults (<u>></u>18 years of age), excluding pregnant women. </p> <p> </p> <p><b>Data extraction: </b>Data were extracted using a predefined template. Outcomes were percent time with sensor glucose levels 3.9–10.0mmol/l (70–180mg/dL), >10.0mmol/L (180mg/dL), and <3.9mmol/L (70mg/dL). </p> <p><b> </b></p> <p><b>Data synthesis: </b>We identified 16,772 publications, of which 14 eligible studies compared eight technologies comprising 1,043 participants. Closed loop systems lead to greater percent time-in-range than any other management strategy and was 17.85 (95% predictive interval [PrI] 7.56–28.14) higher than usual care of multiple daily injections with capillary glucose testing. Closed loop systems ranked best for percent time-in-range or above range utilising surface under the cumulative ranking curve (SUCRA–98.5 and 93.5 respectively). Closed loop systems also ranked highly for time below range (SUCRA–62.2). </p> <p><b> </b></p> <p><b>Limitations: </b>Overall risk of bias ratings were moderate for all outcomes. Certainty of evidence was very low.</p> <p><b> </b></p> <p><b>Conclusions: </b>In the first integrated comparison of multiple management strategies considering time-in-range, we found that the efficacy of closed loop systems appeared better than all other approaches. </p>

scholarly journals Prevalence of Metabolic Syndrome in Children and Adolescents with Type 1 Diabetes Mellitus and Possibilities of Prevention and Treatment: A Systematic Review

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1782
Author(s):  
Monika Grabia ◽  
Renata Markiewicz-Żukowska ◽  
Katarzyna Socha
Keyword(s):  
Systematic Review ◽  
Metabolic Syndrome ◽  
Type 1 Diabetes ◽  
Children And Adolescents ◽  
Treatment Options ◽  
Overweight And Obesity ◽  
Excess Body Weight ◽  
Healthy Population ◽  
Prevention And Treatment

Overweight and obesity are an increasingly common problem, not only among the healthy population, but also in adolescents with type 1 diabetes (T1DM). Excess body weight is related to many cardiometabolic complications as well as a high risk of metabolic syndrome (MetS). The purpose of this systematic review is to provide a concise and critical overview of the prevalence of MetS in children and adolescents with T1DM and, ultimately, to discuss prevention and treatment options. The study was conducted in accordance with PRISMA guidelines. This review shows that, apart from the growing percentage of overweight and obese children and adolescents with T1DM (on average 20.1% and 9.5%, respectively), the problem of the increasing incidence of MetS (range from 3.2 to 29.9%, depending on the criteria used) is one of the most important phenomena of our time. One of the methods of prevention and treatment is a combined approach: changing eating habits and lifestyle, but there are also reports about the beneficial effects of the gut microflora.

Excess mortality in Type 1 diabetes diagnosed in childhood and adolescence: a systematic review of population-based cohorts

2015 ◽  
Vol 52 (4) ◽  
pp. 801-807 ◽  
Author(s):  
Eileen Morgan ◽  
Christopher R. Cardwell ◽  
Catherine J. Black ◽  
David R. McCance ◽  
Christopher C. Patterson
Keyword(s):  
Systematic Review ◽  
Type 1 Diabetes ◽  
Excess Mortality ◽  
Population Based ◽  
Childhood And Adolescence

Effects of advanced carbohydrate counting in patients with Type 1 diabetes: a systematic review

2014 ◽  
Vol 31 (8) ◽  
pp. 886-896 ◽  
Author(s):  
S. Schmidt ◽  
B. Schelde ◽  
K. Nørgaard
Keyword(s):  
Systematic Review ◽  
Type 1 Diabetes ◽  
Carbohydrate Counting

Self-care and type 1 diabetes mellitus: systematic review of sex-related differences

2021 ◽  
Author(s):  
Irene Baroni ◽  
Cristina Arrigoni ◽  
Rosario Caruso ◽  
Arianna Magon ◽  
Giulia Villa ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Self Care

scholarly journals Vitamin D and Type 1 Diabetes Risk: A Systematic Review and Meta-Analysis of Genetic Evidence

Nutrients ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 4260
Author(s):  
Liana Najjar ◽  
Joshua Sutherland ◽  
Ang Zhou ◽  
Elina Hyppönen
Keyword(s):  
Systematic Review ◽  
Vitamin D ◽  
Type 1 Diabetes ◽  
Meta Analysis ◽  
Low Frequency ◽  
Nucleotide Polymorphisms ◽  
Hydroxyvitamin D ◽  
Quantitative Synthesis ◽  
25 Hydroxyvitamin D

Several observational studies have examined vitamin D pathway polymorphisms and their association with type 1 diabetes (T1D) susceptibility, with inconclusive results. We aimed to perform a systematic review and meta-analysis assessing associations between selected variants affecting 25-hydroxyvitamin D [25(OH)D] and T1D risk. We conducted a systematic search of Medline, Embase, Web of Science and OpenGWAS updated in April 2021. The following keywords “vitamin D” and/or “single nucleotide polymorphisms (SNPs)” and “T1D” were selected to identify relevant articles. Seven SNPs (or their proxies) in six genes were analysed: CYP2R1 rs10741657, CYP2R1 (low frequency) rs117913124, DHCR7/NADSYN1 rs12785878, GC rs3755967, CYP24A1 rs17216707, AMDHD1 rs10745742 and SEC23A rs8018720. Seven case-control and three cohort studies were eligible for quantitative synthesis (n = 10). Meta-analysis results suggested no association with T1D (range of pooled ORs for all SNPs: 0.97–1.02; p > 0.01). Heterogeneity was found in DHCR7/NADSYN1 rs12785878 (I2: 64.8%, p = 0.02). Sensitivity analysis showed exclusion of any single study did not alter the overall pooled effect. No association with T1D was observed among a Caucasian subgroup. In conclusion, the evidence from the meta-analysis indicates a null association between selected variants affecting serum 25(OH)D concentrations and T1D.

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