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Vitamin D and Type 1 Diabetes Risk: A Systematic Review and Meta-Analysis of Genetic Evidence.
Najjar, L, Sutherland, J, Zhou, A, Hyppönen, E
Nutrients. 2021;(12)
Abstract
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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Effect of low glycaemic index or load dietary patterns on glycaemic control and cardiometabolic risk factors in diabetes: systematic review and meta-analysis of randomised controlled trials.
Chiavaroli, L, Lee, D, Ahmed, A, Cheung, A, Khan, TA, Blanco, S, Mejia, , Mirrahimi, A, Jenkins, DJA, Livesey, G, et al
BMJ (Clinical research ed.). 2021;:n1651
Abstract
OBJECTIVE To inform the update of the European Association for the Study of Diabetes clinical practice guidelines for nutrition therapy. DESIGN Systematic review and meta-analysis of randomised controlled trials. DATA SOURCES Medline, Embase, and the Cochrane Library searched up to 13 May 2021. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Randomised controlled trials of three or more weeks investigating the effect of diets with low glycaemic index (GI)/glycaemic load (GL) in diabetes. OUTCOME AND MEASURES The primary outcome was glycated haemoglobin (HbA1c). Secondary outcomes included other markers of glycaemic control (fasting glucose, fasting insulin); blood lipids (low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), non-HDL-C, apo B, triglycerides); adiposity (body weight, BMI (body mass index), waist circumference), blood pressure (systolic blood pressure (SBP) and diastolic blood pressure (DBP)), and inflammation (C reactive protein (CRP)). DATA EXTRACTION AND SYNTHESIS Two independent reviewers extracted data and assessed risk of bias. Data were pooled by random effects models. GRADE (grading of recommendations assessment, development, and evaluation) was used to assess the certainty of evidence. RESULTS 29 trial comparisons were identified in 1617 participants with type 1 and 2 diabetes who were predominantly middle aged, overweight, or obese with moderately controlled type 2 diabetes treated by hyperglycaemia drugs or insulin. Low GI/GL dietary patterns reduced HbA1c in comparison with higher GI/GL control diets (mean difference −0.31% (95% confidence interval −0.42 to −0.19%), P<0.001; substantial heterogeneity, I2=75%, P<0.001). Reductions occurred also in fasting glucose, LDL-C, non-HDL-C, apo B, triglycerides, body weight, BMI, systolic blood pressure (dose-response), and CRP (P<0.05), but not blood insulin, HDL-C, waist circumference, or diastolic blood pressure. A positive dose-response gradient was seen for the difference in GL and HbA1c and for absolute dietary GI and SBP (P<0.05). The certainty of evidence was high for the reduction in HbA1c and moderate for most secondary outcomes, with downgrades due mainly to imprecision. CONCLUSIONS This synthesis suggests that low GI/GL dietary patterns result in small important improvements in established targets of glycaemic control, blood lipids, adiposity, blood pressure, and inflammation beyond concurrent treatment with hyperglycaemia drugs or insulin, predominantly in adults with moderately controlled type 1 and type 2 diabetes. The available evidence provides a good indication of the likely benefit in this population. STUDY REGISTRATION ClinicalTrials.gov NCT04045938.
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Efficacy and safety of sotagliflozin adjuvant therapy for type 1 diabetes mellitus: A systematic review and meta-analysis.
Chen, MB, Xu, RJ, Zheng, QH, Zheng, XW, Wang, H
Medicine. 2020;(33):e20875
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BACKGROUND To systematically evaluate the efficacy and safety of sotagliflozin (SOTA) adjuvant therapy for type 1 diabetes mellitus (T1DM). METHODS Through April 2019, the Web of Science, PubMed, Cochrane Library, Embase, and China National Knowledge Infrastructure databases were electronically searched to identify randomized controlled trials exploring SOTA adjuvant therapy for T1DM. Strict screening and quality evaluations of the obtained literature were performed independently by 2 researchers. Outcome indexes were extracted, and a meta-analysis of the data was performed using Revman 5.3 software. RESULTS A total of 7 randomized controlled trials were included. The meta-analysis results showed that compared with the patients in the placebo group, the patients in the SOTA group had a lower hemoglobin A1c (mean difference [MD] = -0.28, 95% confidence interval [CI] [-0.34, -0.22], P < .01), lower total daily insulin use (MD = -8.89, 95% CI [-11.64, -6.13], P < .01), faster weight loss (MD = -3.03, 95% CI [-3.79, -2.26], P < .01), better fasting blood glucose and 2-hour postprandial blood glucose control (MD = -0.75, 95% CI [-1.04, -0.45], P < .01; MD = -2.42, 95% CI [-3.17, -1.67], P < .01), and a higher rate of well-controlled glucose levels (relative risk = 1.75, 95% CI [1.55, 1.99], P < .01), while no significant difference in the incidence of severe hypoglycemic events was found between the SOTA and placebo groups (risk difference [RD] = -0.01, 95% CI [-0.02, 0.00], P = .13). The incidence of diabetic ketoacidosis was higher in the SOTA group than in the placebo group (RD = 0.03, 95% CI [0.02, 0.04], P < .01). The incidence of genital mycotic infection was higher in the SOTA group than in the placebo group (RD = 0.06, 95% CI [0.05, 0.08], P < .01). No significant difference in the incidence of urinary tract infections was detected between the SOTA group and the placebo group (RD = 0.00, 95% CI [-0.01, 0.01], P = 0.97). CONCLUSIONS SOTA is a potential drug for the treatment of T1DM and is effective for controlling blood sugar. The main adverse reactions to SOTA are genital mycotic infections and diabetic ketoacidosis. We must further assess the severity of diabetic ketoacidosis caused by SOTA.
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Associations between alcohol intake and diabetic retinopathy risk: a systematic review and meta-analysis.
Chen, C, Sun, Z, Xu, W, Tan, J, Li, D, Wu, Y, Zheng, T, Peng, D
BMC endocrine disorders. 2020;(1):106
Abstract
BACKGROUND Some previous studies have reported inconsistent results on the association between alcohol intake and diabetic retinopathy (DR) risk. This study aimed to evaluate the potential effects of alcohol intake on subsequent DR risk using a meta-analytic approach. METHODS Three electronic databases (PubMed, EmBase, and the Cochrane library) were systematically searched for observational studies from their inception till November 2019. The pooled odds ratio (OR) with 95% confidence interval (CI) were applied for the summary effect estimate using a random-effects model. RESULTS A total of 15 studies (5 cohort studies, 4 case-control studies, and 6 cross-sectional studies) with 37,290 participants and 12,711 DR cases were selected for the final meta-analysis. The pooled OR indicated no significant association between alcohol intake and DR risk (OR: 0.91; 95%CI: 0.78-1.06; P = 0.225), irrespective of the studies being pooled cohort (OR: 0.95; 95%CI: 0.66-1.36; P = 0.761), case-control (OR: 0.97; 95%CI: 0.77-1.23; P = 0.818), or cross-sectional (OR: 0.86; 95%CI: 0.69-1.08; P = 0.190) ones. However, this association might have been affected by the type of diabetes mellitus and the adjusted status. CONCLUSION The results of this study showed that the potential impact of alcohol intake on DR risk may differ according to the type of diabetes mellitus and adjusted status. Further large-scale, prospective cohort studies should be conducted to verify the findings of this study and to evaluate DR risk in relation to the dose and type of alcohol intake.
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Mobile health in the management of type 1 diabetes: a systematic review and meta-analysis.
Wang, X, Shu, W, Du, J, Du, M, Wang, P, Xue, M, Zheng, H, Jiang, Y, Yin, S, Liang, D, et al
BMC endocrine disorders. 2019;(1):21
Abstract
BACKGROUND As an insulin-dependent disease, type 1 diabetes requires paying close attention to the glycemic control. Studies have shown that mobile health (mHealth) can improve the management of chronic diseases. However, the effectiveness of mHealth in controlling the glycemic control remains uncertain. The objective of this study was to carry out a systematic review and meta-analysis using the available literature reporting findings on mHealth interventions, which may improve the management of type 1 diabetes. METHODS We performed a systematic literature review of all studies in the PubMed, Web of Science, and EMbase databases that used mHealth (including mobile phones) in diabetes care and reported glycated hemoglobin (HbA1c) values as a measure of glycemic control. The fixed effects model was used for this meta-analysis. RESULTS This study analyzed eight studies, which involved a total of 602 participants. In the meta-analysis, the fixed effects model showed a statistically significant decrease in the mean of HbA1c in the intervention group: - 0.25 (95% confidence interval: - 0.41, - 0.09; P = 0.003, I2 = 12%). Subgroup analyses indicated that the patient's age, the type of intervention, and the duration of the intervention influenced blood glucose control. Funnel plots showed no publication bias. CONCLUSIONS Mobile health interventions may be effective among patients with type 1 diabetes. A significant reduction in HbA1c levels was associated with adult age, the use of a mobile application, and the long-term duration of the intervention.
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Safety of Ramadan fasting in young patients with type 1 diabetes: A systematic review and meta-analysis.
Loh, HH, Lim, LL, Loh, HS, Yee, A
Journal of diabetes investigation. 2019;(6):1490-1501
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AIMS/INTRODUCTION Although patients with type 1 diabetes are medically exempt, many insist on fasting during Ramadan. Multiple daily insulin injections (MDI), premixed insulin and continuous subcutaneous insulin infusion (CSII) are commonly used. To date, little is known about the safety of Ramadan fasting in these patients. MATERIALS AND METHODS We pooled data from 17 observational studies involving 1,699 patients treated with either CSII or non-CSII (including premixed and MDI) regimen. The study outcomes were the frequencies of hypoglycemia, hyperglycemia and/or ketosis. Given the lack of patient-level data, separate analyses for premixed and MDI regimen were not carried out. RESULTS The CSII-treated group (n = 203) was older (22.9 ± 6.9 vs 17.8 ± 4.0 years), and had longer diabetes duration (116.7 ± 66.5 vs 74.8 ± 59.2 months) and lower glycated hemoglobin (7.8 ± 1.1% vs 9.1 ± 2.0%) at baseline than the non-CSII-treated group (n = 1,496). The non-CSII-treated group had less non-severe hypoglycemia than the CSII-treated group (22%, 95% CI 13-34 vs 35%, 95% CI 17-55). Of the non-CSII-treated group, 7.1% (95% CI 5.8-8.5) developed severe hypoglycemia, but none from the CSII-treated group did. The non-CSII-treated group was more likely to develop hyperglycemia (12%, 95% CI 3-25 vs 8.8%, 95% CI 0-31) and ketosis (2.5%, 95% CI 1.0-4.6 vs 1.6%, 95% CI 0.1-4.7), and discontinue fasting (55%, 95% CI 34-76 vs 31%, 95% CI 9-60) than the CSII-treated group. CONCLUSIONS The CSII regimen had lower rates of severe hypoglycemia and hyperglycemia/ketosis, but a higher rate of non-severe hyperglycemia than premixed/MDI regimens. These suggest that appropriate patient selection with regular, supervised fine-tuning of the basal insulin rate with intensive glucose monitoring might mitigate the residual hypoglycemia risk during Ramadan.
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SLC30A8 Gene rs13266634 C/T Polymorphism in Children with Type 1 Diabetes in Tamil Nadu, India.
Thirunavukkarasu, R, Asirvatham, AJ, Chitra, A, Jayalakshmi, M
Journal of clinical research in pediatric endocrinology. 2019;(1):55-60
Abstract
OBJECTIVE Zinc transporter 8 (ZnT8) is a multi-transmembrane protein situated in the insulin secretory granule of the islets of β-cells and is identified as a novel auto-antigen in type 1 diabetes (T1D). The gene coding for ZnT8, solute carrier family 30 member 8 (SLC30A8) is located on chromosome 8q24.11. This study aimed to identify the association of SLC30A8 rs13266634 C/T gene polymorphism with T1D in a sample of T1D children in Tamil Nadu, India. METHODS The family based study was conducted in 121 T1D patients and 214 of their family members as controls. The SLC30A8 gene rs13266634 C/T polymorphism was evaluated by polymerase chain reaction-restriction fragment length polymorphism. RESULTS No significant differences were observed in either allele (odds ratio: 0.92; confidence interval: 0.33-2.58; p=0.88) and genotype (CC: p=0.74; CT: p=0.82; TT: p=0.80) frequencies of rs13266634 C/T between T1D patients and controls. Transmission disequilibrium test has identified over-transmission of mutant T allele from parents to affected children (T: U=9:7) without statistical significance. Metaanalysis on the overall effects of rs13266634 C allele frequency was not different (p=0.10 and Pheterogeneity=0.99) in T1D patients as compared to the controls. CONCLUSION The present study along with the meta-analysis does not show any substantial association of the rs13266634 C/T polymorphism with T1D development in this population.
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Low-glycemic index diets as an intervention for diabetes: a systematic review and meta-analysis.
Zafar, MI, Mills, KE, Zheng, J, Regmi, A, Hu, SQ, Gou, L, Chen, LL
The American journal of clinical nutrition. 2019;(4):891-902
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BACKGROUND Low-glycemic index (GI) diets are thought to reduce postprandial glycemia, resulting in more stable blood glucose concentrations. OBJECTIVE We hypothesized that low-GI diets would be superior to other diet types in lowering measures of blood glucose control in people with type 1 or type 2 diabetes, or impaired glucose tolerance. METHODS We searched PubMed, the Cochrane Library, EMBASE, and clinical trials registries for published and unpublished studies up until 1 March, 2019. We included 54 randomized controlled trials in adults or children with impaired glucose tolerance, type 1 diabetes, or type 2 diabetes. Continuous data were synthesized using a random effects, inverse variance model, and presented as standardized mean differences with 95% CIs. RESULTS Low-GI diets were effective at reducing glycated hemoglobin (HbA1c), fasting glucose, BMI, total cholesterol, and LDL, but had no effect on fasting insulin, HOMA-IR, HDL, triglycerides, or insulin requirements. The reduction in fasting glucose and HbA1c was inversely correlated with body weight. The greatest reduction in fasting blood glucose was seen in the studies of the longest duration. CONCLUSIONS Low-GI diets may be useful for glycemic control and may reduce body weight in people with prediabetes or diabetes.
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Retinopathy of Type 1 Diabetes in Arab Countries: Systematic Review and Meta-Analysis.
Zayed, H, Abdel Motal, UM, Gopalakrishnan, A, Ponnuraja, C, Doss, CGP, Rizk, N, Shebl, FM
Ophthalmic research. 2019;(3):125-136
Abstract
AIMS: To conduct a systematic review and meta-analysis of retinopathy prevalence in patients with type 1 diabetes (T1D) in 22 Arab countries. METHODS We systematically searched 4 different literature databases (PubMed, Science Direct, Web of Science and Embase), from the date of inception until December 2017, to collect all the information about patients with T1D who developed retinopathy complications; for statistical analysis, we used MetaXL to evaluate the pooled prevalence estimate and the subgroup prevalence estimates employing double arcsine transformation and inverse variance heterogeneity models. RESULTS Our search strategy returned 475 studies, of which 39 met our inclusion criteria; of those, 16 were eligible for meta-analysis that were captured only in 15 Arab countries, through 45 years (1969-2014). The number of retinopathy patients was 396 out of 1,931 patients with T1D. The prevalence of retinopathy was 19% (95% CI 10-28%). Substantial heterogeneity was observed (Q 240.78, p < 0.0001, I2 93.77%, 95% CI 91.35-95.52%); however, no single study considerably affected the overall pooled prevalence estimate. CONCLUSION Almost one fifth of T1D patients in 15 Arab countries have diabetic retinopathy, therefore it is important to improve the care of patients with T1D and in Arab countries to avoid the development of such a devastating complication.
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Interventions to increase attendance for diabetic retinopathy screening.
Lawrenson, JG, Graham-Rowe, E, Lorencatto, F, Burr, J, Bunce, C, Francis, JJ, Aluko, P, Rice, S, Vale, L, Peto, T, et al
The Cochrane database of systematic reviews. 2018;(1):CD012054
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BACKGROUND Despite evidence supporting the effectiveness of diabetic retinopathy screening (DRS) in reducing the risk of sight loss, attendance for screening is consistently below recommended levels. OBJECTIVES The primary objective of the review was to assess the effectiveness of quality improvement (QI) interventions that seek to increase attendance for DRS in people with type 1 and type 2 diabetes.Secondary objectives were:To use validated taxonomies of QI intervention strategies and behaviour change techniques (BCTs) to code the description of interventions in the included studies and determine whether interventions that include particular QI strategies or component BCTs are more effective in increasing screening attendance;To explore heterogeneity in effect size within and between studies to identify potential explanatory factors for variability in effect size;To explore differential effects in subgroups to provide information on how equity of screening attendance could be improved;To critically appraise and summarise current evidence on the resource use, costs and cost effectiveness. SEARCH METHODS We searched the Cochrane Library, MEDLINE, Embase, PsycINFO, Web of Science, ProQuest Family Health, OpenGrey, the ISRCTN, ClinicalTrials.gov, and the WHO ICTRP to identify randomised controlled trials (RCTs) that were designed to improve attendance for DRS or were evaluating general quality improvement (QI) strategies for diabetes care and reported the effect of the intervention on DRS attendance. We searched the resources on 13 February 2017. We did not use any date or language restrictions in the searches. SELECTION CRITERIA We included RCTs that compared any QI intervention to usual care or a more intensive (stepped) intervention versus a less intensive intervention. DATA COLLECTION AND ANALYSIS We coded the QI strategy using a modification of the taxonomy developed by Cochrane Effective Practice and Organisation of Care (EPOC) and BCTs using the BCT Taxonomy version 1 (BCTTv1). We used Place of residence, Race/ethnicity/culture/language, Occupation, Gender/sex, Religion, Education, Socioeconomic status, and Social capital (PROGRESS) elements to describe the characteristics of participants in the included studies that could have an impact on equity of access to health services.Two review authors independently extracted data. One review author entered the data into Review Manager 5 and a second review author checked them. Two review authors independently assessed risks of bias in the included studies and extracted data. We rated certainty of evidence using GRADE. MAIN RESULTS We included 66 RCTs conducted predominantly (62%) in the USA. Overall we judged the trials to be at low or unclear risk of bias. QI strategies were multifaceted and targeted patients, healthcare professionals or healthcare systems. Fifty-six studies (329,164 participants) compared intervention versus usual care (median duration of follow-up 12 months). Overall, DRS attendance increased by 12% (risk difference (RD) 0.12, 95% confidence interval (CI) 0.10 to 0.14; low-certainty evidence) compared with usual care, with substantial heterogeneity in effect size. Both DRS-targeted (RD 0.17, 95% CI 0.11 to 0.22) and general QI interventions (RD 0.12, 95% CI 0.09 to 0.15) were effective, particularly where baseline DRS attendance was low. All BCT combinations were associated with significant improvements, particularly in those with poor attendance. We found higher effect estimates in subgroup analyses for the BCTs 'goal setting (outcome)' (RD 0.26, 95% CI 0.16 to 0.36) and 'feedback on outcomes of behaviour' (RD 0.22, 95% CI 0.15 to 0.29) in interventions targeting patients, and 'restructuring the social environment' (RD 0.19, 95% CI 0.12 to 0.26) and 'credible source' (RD 0.16, 95% CI 0.08 to 0.24) in interventions targeting healthcare professionals.Ten studies (23,715 participants) compared a more intensive (stepped) intervention versus a less intensive intervention. In these studies DRS attendance increased by 5% (RD 0.05, 95% CI 0.02 to 0.09; moderate-certainty evidence).Fourteen studies reporting any QI intervention compared to usual care included economic outcomes. However, only five of these were full economic evaluations. Overall, we found that there is insufficient evidence to draw robust conclusions about the relative cost effectiveness of the interventions compared to each other or against usual care.With the exception of gender and ethnicity, the characteristics of participants were poorly described in terms of PROGRESS elements. Seventeen studies (25.8%) were conducted in disadvantaged populations. No studies were carried out in low- or middle-income countries. AUTHORS' CONCLUSIONS The results of this review provide evidence that QI interventions targeting patients, healthcare professionals or the healthcare system are associated with meaningful improvements in DRS attendance compared to usual care. There was no statistically significant difference between interventions specifically aimed at DRS and those which were part of a general QI strategy for improving diabetes care. This is a significant finding, due to the additional benefits of general QI interventions in terms of improving glycaemic control, vascular risk management and screening for other microvascular complications. It is likely that further (but smaller) improvements in DRS attendance can also be achieved by increasing the intensity of a particular QI component or adding further components.