scholarly journals Impact of Common Spices on Glycemia in Individuals with Type 2 Diabetes: Systematic Review and Meta-Analysis of Clinical Trials

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 2-2
Author(s):  
Sepideh Alasvand ◽  
William Bridges ◽  
Vivian Haley-Zitlin
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Meta Analysis ◽  
Cochrane Library ◽  
P Value ◽  
Significant Heterogeneity ◽  
P Values ◽  
Common Spices

Abstract Objectives This study examined the effect of common spices cardamom, ginger, cumin, curcuminoids and cinnamon on improving glucose levels in individuals with type 2 diabetes by systematic review and meta-analysis. Methods PubMed, FSTA, Web of Science, CINAHEL, MEDLINE and Cochrane Library database of systematic review databases were searched using keywords (fasting blood glucose OR hemoglobin A1c OR HbA1c OR homeostasis) AND (Ginger or zingiber or “zingiber officinale” or “cinnamomum zeylanicum” or “cinnamomum aromaticum” or “cinnamomum cassia” or “cinnamomum verum” or curcumin or turmeric or curcuminoids or “curcuma longa” or langas or “curcuma zedoarias” or turmeric) AND (diabetes* OR “diabetes mellitus” OR “type 2” OR “blood glucose” OR insulin* OR antidiabet* OR “glucose level”) up to January 2020. Statistical calculations used SAS software version 9.2 (SAS, Cary NC, USA). P-values < 0.05 were considered significant, P-values < 0.10 were considered weakly significant. Results Twenty-three studies with 2237 trial participants were selected out of a 512 study pool. Spices decreased FBG and HbA1c %. The estimated reduction in intervention change vs. control change is as follows: A1c was −0.264 mg/dl, 95% CI (−0.5503, −0.02), P value 0.069; FBG was −9.9370 mg/dl, 95% CI (−20.79, 0.91), P value 0.07. A significant heterogeneity was observed overall among the all studies, indicating that not all studies had similar levels of decrease. Conclusions A correlation between consumption of certain common spices and significant reduction in glycemic indices among diabetes patients was proved. Funding Sources Clemson University.

scholarly journals Efficacy of Common Spices on Improving Serum Lipids in Individuals with Type 2 Diabetes: Systematic Review and Meta-Analysis of Clinical Trials

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1-1
Author(s):  
Sepideh Alasvand ◽  
William Bridges ◽  
Vivian Haley-Zitlin
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Serum Lipids ◽  
Curcuma Longa ◽  
Meta Analysis ◽  
Zingiber Officinale ◽  
Cochrane Library ◽  
P Value ◽  
Common Spices

Abstract Objectives This systematic review and meta-analysis explored efficacy of common spices cardamom, ginger, cumin, curcuminoids and cinnamon on improving serum lipid levels in people with type 2 diabetes. Methods Databases PubMed, FSTA, Web of Science, CINAHEL, MEDLINE and Cochrane Library database of systematic review were searched using keywords (“Serum lipids” OR triglyceride* OR cholesterol* OR “LDL” OR “HDL” OR dyslipidemia) AND (Ginger or zingiber or “zingiber officinale” or “cinnamomum zeylanicum” or “cinnamomum aromaticum” or “cinnamomum cassia” or “cinnamomum verum” or curcumin or turmeric or curcuminoids or “curcuma longa” or langas or “curcuma zedoarias” or turmeric) AND (diabetes* OR “diabetes mellitus” OR “type 2” OR “blood glucose” OR insulin* OR antidiabet* OR "glucose level”) up to January 2020. Statistical calculations used SAS software version 9.2 (SAS, Cary NC, USA). Results Of 636 studies, 27 met the meta-analysis selection criteria, with 5698 trial participants total. The spices significantly improved TC, TG, and LDL-C, with no significant effect on HDL-C. The reduction in intervention vs. control was: TC, −5.0912 mg/dl, 95% CI (−18.7167, −0.7804), P value 0.038; TG, −9.7486 mg/dl, 95% CI (−33.9445, −5.8260), P value 0.33; LDL-C, −4.653 mg/dl, 95% CI (−8.686, −0.6212), P value 0.02. No significant effect on HDL-C was seen (−0.019 mg/dl, 95% CI (−0.72, 0.68), P = 0.95. Heterogeneity was observed across all 27 studies. Conclusions Spices examined exhibited a significant reduction in TG, TC and LDL-C levels among patients with type 2 diabetes with no effect on HDL-C levels suggesting a role for spices as a dyslipidemic agent. Funding Sources Clemson University.

scholarly journals Effect of DPP-IV Inhibitors on Glycemic Variability in Patients with T2DM: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Subin Lee ◽  
Heeyoung Lee ◽  
Yoonhye Kim ◽  
EunYoung Kim
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Meta Analysis ◽  
Glycemic Variability ◽  
Mean Difference ◽  
Systematic Evaluation ◽  
Cochrane Library ◽  
Significant Heterogeneity ◽  
Dpp Iv

Abstract Glycemic variability (GV) has been an emerging target for preventing complications related to type 2 diabetes. For reducing GV, DPP-IV inhibitors have shown effectiveness compared to other oral anti-hyperglycemic drugs (OADs), but systematic evaluation has yet to be existed. A systematic review and meta-analysis of randomized controlled trials (RCTs) were performed to evaluate the effect of DPP-IV inhibitors compared with other OADs, on GV as measured by mean amplitude of glycemic excursions (MAGE). Searches were conducted using Pubmed, EMBASE, and the Cochrane Library, from which eligible studies were retrieved; seven RCTs were included in the analysis. DPP-IV inhibitors were found to significantly reduce MAGE compared to other OADs (mean difference = −14.61; 95% CI = −19.00 to −10.21; p < 0.0001) without significant heterogeneity among sulfonylureas (mean difference = −14.93; 95% CI = −21.60 to −8.26; p < 0.0001). Initial combination therapy with DPP-IV inhibitors more effectively reduced MAGE than stepwise add-on therapies (p = 0.006), although no differences in MAGE were found based on HbA1c values. These findings indicate that DPP-IV inhibitors are promising alternatives for reducing GV in type 2 diabetes patients. However, further studies utilizing larger numbers of patients and longer-term follow-ups are needed.

scholarly journals Prevalence of Type 2 Diabetes in South Africa: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 18 (11) ◽  
pp. 5868
Author(s):  
Carmen Pheiffer ◽  
Victoria Pillay-van Wyk ◽  
Eunice Turawa ◽  
Naomi Levitt ◽  
Andre P. Kengne ◽  
...  
Keyword(s):  
South Africa ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Health Planning ◽  
Meta Analysis ◽  
Population Group ◽  
Significant Heterogeneity ◽  
Newly Diagnosed ◽  
Prevalence Data

Synthesis of existing prevalence data using rigorous systematic review methods is considered an effective strategy to generate representative and robust prevalence figures to inform health planning and policy. The purpose of this systematic review was to identify, collate, and synthesise all studies reporting the prevalence of total and newly diagnosed type 2 diabetes (T2DM), impaired glucose tolerance (IGT), and impaired fasting glucose (IFG) in South Africa. Four databases, PubMed, Scopus, Web of Science, and African Index Medicus were searched for articles published between January 1997 and June 2020. A total of 1886 articles were identified, of which 11 were included in the meta-analysis. The pooled prevalence in individuals 25 years and older was 15.25% (11.07–19.95%) for T2DM, 9.59% (5.82–14.17%) for IGT, 3.55% (0.38–9.61%) for IFG, and 8.29% (4.97–12.34%) for newly diagnosed T2DM. Although our pooled estimate may be imprecise due to significant heterogeneity across studies with regard to population group, age, gender, setting, diagnostic test, and study design, we provide evidence that the burden of glucose intolerance in South Africa is high. These factors contribute to the paucity of representative T2DM prevalence data. There is a need for well-designed epidemiological studies that use best-practice and standardised methods to assess prevalence.

scholarly journals The Effects of Almonds on Gut Microbiota, Glycometabolism, and Inflammatory Markers in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomised Controlled Trials

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3377
Author(s):  
Omorogieva Ojo ◽  
Xiao-Hua Wang ◽  
Osarhumwese Osaretin Ojo ◽  
Amanda Rodrigues Amorim Adegboye
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Gut Microbiota ◽  
Inflammatory Markers ◽  
Meta Analysis ◽  
Fasting Blood Glucose ◽  
Glycated Haemoglobin ◽  
Postprandial Blood Glucose

The use of nutritional interventions for managing diabetes is one of the effective strategies aimed at reducing the global prevalence of the condition, which is on the rise. Almonds are the most consumed tree nut and they are known to be rich sources of protein, monounsaturated fatty acids, essential minerals, and dietary fibre. Therefore, the aim of this review was to evaluate the effects of almonds on gut microbiota, glycometabolism, and inflammatory parameters in patients with type 2 diabetes. Methods: This systematic review and meta-analysis was carried out according to the preferred reporting items for systematic review and meta-analysis (PRISMA). EBSCOhost, which encompasses the Health Sciences Research Databases; Google Scholar; EMBASE; and the reference lists of articles were searched based on population, intervention, control, outcome, and study (PICOS) framework. Searches were carried out from database inception until 1 August 2021 based on medical subject headings (MesH) and synonyms. The meta-analysis was carried out with the Review Manager (RevMan) 5.3 software. Results: Nine randomised studies were included in the systematic review and eight were used for the meta-analysis. The results would suggest that almond-based diets have significant effects in promoting the growth of short-chain fatty acid (SCFA)-producing gut microbiota. Furthermore, the meta-analysis showed that almond-based diets were effective in significantly lowering (p < 0.05) glycated haemoglobin (HbA1c) levels and body mass index (BMI) in patients with type 2 diabetes. However, it was also found that the effects of almonds were not significant (p > 0.05) in relation to fasting blood glucose, 2 h postprandial blood glucose, inflammatory markers (C-reactive protein and Tumour necrosis factor α, TNF-α), glucagon-like peptide-1 (GLP-1), homeostatic model assessment of insulin resistance (HOMA–IR), and fasting insulin. The biological mechanisms responsible for the outcomes observed in this review in relation to reduction in HbA1c and BMI may be based on the nutrient composition of almonds and the biological effects, including the high fibre content and the low glycaemic index profile. Conclusion: The findings of this systematic review and meta-analysis have shown that almond-based diets may be effective in promoting short-chain fatty acid-producing bacteria and lowering glycated haemoglobin and body mass index in patients with type 2 diabetes compared with control. However, the effects of almonds were not significant (p > 0.05) with respect to fasting blood glucose, 2 h postprandial blood glucose, inflammatory markers (C-reactive protein and TNF-α), GLP-1, HOMA–IR, and fasting insulin.

scholarly journals The Effect of Diabetes-Specific Enteral Nutrition Formula on Cardiometabolic Parameters in Patients with Type 2 Diabetes: A Systematic Review and Meta–Analysis of Randomised Controlled Trials

Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1905 ◽  
Author(s):  
Omorogieva Ojo ◽  
Sharon Marie Weldon ◽  
Trevor Thompson ◽  
Rachel Crockett ◽  
Xiao-Hua Wang
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Sensitivity Analysis ◽  
Blood Glucose ◽  
Enteral Nutrition ◽  
Lipid Profile ◽  
Meta Analysis ◽  
Fasting Blood Glucose ◽  
Hdl Cholesterol

Background: The prevalence of diabetes is on the increase in the UK and worldwide, partly due to unhealthy lifestyles, including poor dietary regimes. Patients with diabetes and other co-morbidities such as stroke, which may affect swallowing ability and lead to malnutrition, could benefit from enteral nutrition, including the standard formula (SF) and diabetes-specific formulas (DSF). However, enteral nutrition presents its challenges due to its effect on glycaemic control and lipid profile. Aim: The aim of this review was to evaluate the effectiveness of diabetes-specific enteral nutrition formula versus SF in managing cardiometabolic parameters in patients with type 2 diabetes. Method: This review was conducted in accordance with the preferred reporting items for systematic reviews and meta-analyses. Three databases (Pubmed, EMBASE, PSYCInfo) and Google scholar were searched for relevant articles from inception to 2 January 2019 based on Population, Intervention, Comparator, Outcomes and Study designs (PICOS) framework. Key words, Medical Subject Heading (MeSH) terms, and Boolean operators (AND/OR) formed part of the search strategy. Articles were evaluated for quality and risks of bias. Results: Fourteen articles were included in the systematic review and five articles were selected for the meta-analysis. Based on the findings of the review and meta-analysis, two distinct areas were evident: the effect of DSF on blood glucose parameters and the effect of DSF on lipid profile. All fourteen studies included in the systematic review showed that DSF was effective in lowering blood glucose parameters in patients with type 2 diabetes compared with SF. The results of the meta-analysis confirmed the findings of the systematic review with respect to the fasting blood glucose, which was significantly lower (p = 0.01) in the DSF group compared to SF, with a mean difference of −1.15 (95% CI −2.07, −0.23) and glycated haemoglobin, which was significantly lower (p = 0.005) in the DSF group compared to the SF group following meta-analysis and sensitivity analysis. However, in relation to the sensitivity analysis for the fasting blood glucose, differences were not significant between the two groups when some of the studies were removed. Based on the systematic review, the outcomes of the studies selected to evaluate the effect of DSF on lipid profile were variable. Following the meta-analysis, no significant differences (p > 0.05) were found between the DSF and SF groups with respect to total cholesterol, LDL cholesterol and triglyceride. The level of the HDL cholesterol was significantly higher (p = 0.04) in the DSF group compared to the SF group after the intervention, with a mean difference of 0.09 (95% CI, 0.00, 0.18), although this was not consistent based on the sensitivity analysis. The presence of low glycaemic index (GI) carbohydrate, the lower amount of carbohydrate and the higher protein, the presence of mono-unsaturated fatty acids and the different amounts and types of fibre in the DSF compared with SF may be responsible for the observed differences in cardiometabolic parameters in both groups. Conclusion: The results provide evidence to suggest that DSF is effective in controlling fasting blood glucose and glycated haemoglobin and in increasing HDL cholesterol, but has no significant effect on other lipid parameters. However, our confidence in these findings would be increased by additional data from further studies.

scholarly journals Metabolomics Signatures in Type 2 Diabetes: A Systematic Review and Integrative Analysis

2019 ◽  
Vol 105 (4) ◽  
pp. 1000-1008 ◽  
Author(s):  
Yue Sun ◽  
Hao-Yu Gao ◽  
Zhi-Yuan Fan ◽  
Yan He ◽  
Yu-Xiang Yan
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Metabolic Pathways ◽  
Meta Analysis ◽  
Random Effect ◽  
Bioinformatic Analysis ◽  
Cochrane Library ◽  
Isoleucine Leucine ◽  
Increased Risk

Abstract Objective Metabolic signatures have emerged as valuable signaling molecules in the biochemical process of type 2 diabetes (T2D). To summarize and identify metabolic biomarkers in T2D, we performed a systematic review and meta-analysis of the associations between metabolites and T2D using high-throughput metabolomics techniques. Methods We searched relevant studies from MEDLINE (PubMed), Embase, Web of Science, and Cochrane Library as well as Chinese databases (Wanfang, Vip, and CNKI) inception through 31 December 2018. Meta-analysis was conducted using STATA 14.0 under random effect. Besides, bioinformatic analysis was performed to explore molecule mechanism by MetaboAnalyst and R 3.5.2. Results Finally, 46 articles were included in this review on metabolites involved amino acids, acylcarnitines, lipids, carbohydrates, organic acids, and others. Results of meta-analysis in prospective studies indicated that isoleucine, leucine, valine, tyrosine, phenylalanine, glutamate, alanine, valerylcarnitine (C5), palmitoylcarnitine (C16), palmitic acid, and linoleic acid were associated with higher T2D risk. Conversely, serine, glutamine, and lysophosphatidylcholine C18:2 decreased risk of T2D. Arginine and glycine increased risk of T2D in the Western countries subgroup, and betaine was negatively correlated with T2D in nested case-control subgroup. In addition, slight improvements in T2D prediction beyond traditional risk factors were observed when adding these metabolites in predictive analysis. Pathway analysis identified 17 metabolic pathways may alter in the process of T2D and metabolite-related genes were also enriched in functions and pathways associated with T2D. Conclusions Several metabolites and metabolic pathways associated with T2D have been identified, which provide valuable biomarkers and novel targets for prevention and drug therapy.

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.

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