Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review

2015 ◽  
Vol 39 (10) ◽  
Author(s):  
Nino Fijacko ◽  
Petra Povalej Brzan ◽  
Gregor Stiglic
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Mobile Applications ◽  
Risk Estimation ◽  
Diabetes Risk

scholarly journals Protocol for systematic review and meta-analysis of sex hormones and diabetes risk in ageing men and women of African ancestry

BMJ Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. e024446 ◽  
Author(s):  
Nyuyki Clement Kufe ◽  
Maphoko Masemola ◽  
Tinashe Chikowore ◽  
Andre Pascal Kengne ◽  
Tommy Olsson ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Sex Hormones ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Diabetes Risk ◽  
Cochrane Library ◽  
Men And Women ◽  
Inconsistency Index

AimTo present the protocol of a systematic review and meta-analysis of the available evidence examining the association between sex hormones and type 2 diabetes risk in ageing men and women of African descent.MethodsWe shall conduct a comprehensive search of published studies that examined the association between sex hormones and type 2 diabetes risk in men and women aged ≥40 years from 01/01/1980 to 31/03/2018 with no language restriction. Databases to be searched include: PubMed, Scopus, Cochrane Library, Cumulative Index to Nursing and Allied Health, ISI Web of Science, Clinical Trial registries, Google Scholar and institutional websites such as the WHO, American Diabetes Association, International Diabetes Federation, World Diabetes Foundation, European Association for the Study of Diabetes, African Journal Online and ProQuest databases. This protocol is developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidelines. Independent screening for eligible studies using defined criteria and data extraction, will be completed in duplicate. Discrepancies will be resolved by consensus or consultation with a third researcher. Risk of bias of included studies will be assessed by the appropriate Cochrane risk of bias tool. The overall association estimates will be pooled using appropriate meta-analytic techniques. Heterogeneity will be assessed using Cochrane Q statistic and the inconsistency index (I2). The random effects model will be used to calculate a pooled estimate.Ethics and disseminationNo ethics clearance is required as no primary data will be collected. The systematic review and meta-analysis are part of a PhD project at WITS University (Johannesburg, South Africa) and results will be presented at conferences and published in a peer-review journal. The results will guide future population specific interventions.PROSPERO registration numberCRD42017074581.

scholarly journals Empirically derived dietary patterns and incident type 2 diabetes mellitus: a systematic review and meta-analysis on prospective observational studies

2015 ◽  
Vol 19 (2) ◽  
pp. 230-241 ◽  
Author(s):  
Zahra Maghsoudi ◽  
Reza Ghiasvand ◽  
Amin Salehi-Abargouei
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Studies ◽  
Dietary Patterns ◽  
Meta Analysis ◽  
Diabetes Risk ◽  
Phytochemical Content

AbstractObjectiveTo systematically review prospective cohort studies about the association between dietary patterns and type 2 diabetes mellitus (T2DM) incidence, and to quantify the effects using a meta-analysis.DesignDatabases such as PubMed, ISI Web of Science, SCOPUS and Google Scholar were searched up to 15 January 2015. Cohort studies which tried to examine the association between empirically derived dietary patterns and incident T2DM were selected. The relative risks (RR) and their 95 % confidence intervals for diabetes among participants with highest v. lowest adherence to derived dietary patterns were incorporated into meta-analysis using random-effects models.ResultsTen studies (n 404 528) were enrolled in the systematic review and meta-analysis; our analysis revealed that adherence to the ‘healthy’ dietary patterns significantly reduced the risk of T2DM (RR=0·86; 95 % CI 0·82, 0·90), while the ‘unhealthy’ dietary patterns adversely affected diabetes risk (RR=1·30; 95 % CI 1·18, 1·43). Subgroup analysis showed that unhealthy dietary patterns in which foods with high phytochemical content were also loaded did not significantly increase T2DM risk (RR=1·06; 95 % CI 0·87, 1·30).Conclusions‘Healthy’ dietary patterns containing vegetables, fruits and whole grains can lower diabetes risk by 14 %. Consuming higher amounts of red and processed meats, high-fat dairy and refined grains in the context of ‘unhealthy’ dietary patterns will increase diabetes risk by 30 %; while including foods with high phytochemical content in these patterns can modify this effect.

scholarly journals MECHANISMS IN ENDOCRINOLOGY: Parity and risk of type 2 diabetes: a systematic review and dose-response meta-analysis

2016 ◽  
Vol 175 (5) ◽  
pp. R231-R245 ◽  
Author(s):  
Peiyun Li ◽  
Zhilei Shan ◽  
Li Zhou ◽  
Manling Xie ◽  
Wei Bao ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Dose Response ◽  
Meta Analysis ◽  
Epidemiologic Studies ◽  
Diabetes Risk ◽  
Cross Sectional ◽  
Nulliparous Women ◽  
Increased Risk

Objective Epidemiologic studies regarding the association between parity and risk of type 2 diabetes have yielded inconsistent results. Therefore, we performed a systematic review and dose-response meta-analysis to determine the relation between parity and type 2 diabetes risk. Methods We searched PubMed and Embase for published epidemiologic studies that assessed the relation between parity and risk of type 2 diabetes up to 31 March 2016. A dose-response random-effects model was used to combine study-specific relative risks (RRs) and 95% confidence intervals (CIs). Potential sources of heterogeneity were explored by meta-regression and subgroup analyses. Results Seven cohort studies, 1 case-control study and 9 cross-sectional studies including 296 923 participants were eligible for inclusion. The combined RR for the highest versus lowest category of parity indicated a 54% increment in type 2 diabetes risk (95% CI: 29–83%). In the cubic spline model, a nonlinear association was found between parity and risk of type 2 diabetes (P = 0.02 for nonlinearity). Compared with nulliparous women, the estimated RR (95% CI) of type 2 diabetes for women with one to seven children was 1.01 (0.96–1.07), 1.08 (1.00–1.16), 1.20 (1.12–1.30), 1.32 (1.22–1.42), 1.37 (1.27–1.48), 1.39 (1.26–1.52) and 1.39 (1.23–1.57) respectively. Conclusions Higher parity is significantly associated with an increased risk of type 2 diabetes. Further studies are warranted to fully adjust for the potential confounders and explore the causality between parity and type 2 diabetes risk.

Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review

2017 ◽  
Vol 131 ◽  
pp. 70-81 ◽  
Author(s):  
Helen Fu ◽  
Siobhan K. McMahon ◽  
Cynthia R. Gross ◽  
Terrence J. Adam ◽  
Jean F. Wyman
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Clinical Efficacy ◽  
Mobile Applications

Systematic review of the development, implementation and availability of smart-phone applications for assessing Type 2 diabetes risk

2013 ◽  
Vol 30 (6) ◽  
pp. 758-760 ◽  
Author(s):  
L. J. Gray ◽  
T. Leigh ◽  
M. J. Davies ◽  
N. Patel ◽  
M. Stone ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Smart Phone ◽  
Diabetes Risk

scholarly journals Quantification of the type 2 diabetes risk in women with gestational diabetes: a systematic review and meta-analysis of 95,750 women

Diabetologia ◽  
2016 ◽  
Vol 59 (7) ◽  
pp. 1403-1411 ◽  
Author(s):  
Girish Rayanagoudar ◽  
Amal A. Hashi ◽  
Javier Zamora ◽  
Khalid S. Khan ◽  
Graham A. Hitman ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Gestational Diabetes ◽  
Meta Analysis ◽  
Diabetes Risk
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