Effective diabetes management can prevent avoidable diabetes-related hospitalizations. This review examines the impact of financial incentives for diabetes management in primary care settings on diabetes-related hospitalizations, hospitalization costs, and premature mortality. To assess the evidence, we conducted a literature search of studies using five databases: Medline, Embase, Scopus, CINAHL and Web of Science. We examined the results by health insurance system, study quality or diabetes population (newly diagnosed diabetes). We identified 32 articles ranging from fair- to high-quality: 19 articles assessed the relationship between financial incentives for diabetes management and hospitalizations, 8 assessed hospitalization costs, and 15 assessed mortality. Many studies found that financial incentives for diabetes management reduced hospitalizations, while a few found no effects. Similar findings were evident for hospitalization costs and mortality. The results did not differ by the type of health insurance system, but the quality of the studies did matter; most high-quality studies reported reduced hospitalizations and/or mortality. We also found that financial incentives tend to be beneficial for patients with newly diagnosed diabetes. We conclude that well-designed diabetes management incentives can reduce diabetes-related hospitalizations, especially for newly diagnosed diabetes patients.

Acute coronary syndrome (ACS) is a life-threatening condition, with ACS-associated morbidity and mortality causing substantial human and economic challenges to the individual and health services. Due to shared disease determinants, those with ACS have a high risk of comorbid Type 2 diabetes mellitus (T2DM). Despite this, the two conditions are managed separately, duplicating workload for staff and increasing the number of appointments and complexity of patient management plans. This rapid review compared current ACS and T2DM guidelines across Australia, Canada, Europe, Ireland, New Zealand, the UK, and the USA. Results highlighted service overlap, repetition, and opportunities for integrated practice for ACS-T2DM lifestyle management across diet and nutrition, physical activity, weight management, clinical and psychological health. Recommendations are made for potential integration of ACS-T2DM service provision to streamline care and reduce siloed care in the context of the health services for ACS-T2DM and similar comorbid conditions.

Background: Type 1 diabetes mellitus (T1DM) is one of the most burdensome chronic diseases in the world. Health utility values are an important tool for quantifying this disease burden and conducting cost-utility analyses. This review aimed to derive a reference set of health utility values for children and adolescents with T1DM.Methods: We searched MEDLINE and Embase from inception to March 2023 for health utility values of T1DM children and adolescents (aged <= 18 years) measured using direct and indirect preference elicitation approaches. Utility estimates were pooled by meta-analyses with subgroup analyses to evaluate differences by populations and elicitation approaches.Results: Six studies involving 1276 participants were included in this study. Meta-analysis showed the overall utility value of children and adolescents with T1DM was 0.91 (95% CI 0.89-0.93). The utility value of T1DM children and adolescents with complications was 0.90 (95% CI 0.88-0.92), which was lower than those without complications (0.96, 95% CI 0.95-0.97). The utility value of children (aged <13 years) was higher than adolescents (aged 13-18 years) (0.90 vs. 0.85). The utility value measured by the EQ-5D-3L (0.91) was higher than the HUI3 (0.89), the SF-6Dv1 (0.83), and the time trade-off (0.81). The parent proxy-reported was similar to the patient self-reported (0.91 vs. 0.91).Conclusions: This study developed a reference set of pooled utility estimates for children and adolescents with T1DM, which is helpful for understanding the overall health status of T1DM and conducting economic evaluations. Further studies are needed to explore the utilities of T1DM with different types of complications.

Objectives: Recommendations from clinical practice guidelines (CPGs) for individuals with type 2 dia-betes mellitus (T2DM) may be inconsistent, and little is known about their quality. Our aim in this study was to systematically review the consistency of globally available CPGs containing nutritional recom-mendations for T2DM and to assess the quality of their methodology and reporting. Methods: PubMed, China Biology Medicine and 4 main guideline websites were searched. Four researchers independently assessed quality of the methodology and reporting using the Appraisal of Guidelines for Research and Evaluation, second edition (AGREE II) instrument and the Reporting Items for Practice Guidelines in HealThcare (RIGHT) checklist.Results: Fifteen CPGs include 65 nutritional recommendations with 6 sections: 1) body weight and energy balance; 2) dietary eating patterns; 3) macronutrients; 4) micronutrients and supplements; 5) alcohol; and 6) specific, functional foods. Current nutritional recommendations for individuals with T2DM on specific elements and amounts are not completely consistent in different CPGs and fail to assign the specific supporting evidence and strength of recommendations. To use nutritional recommendations to guide and manage individuals with T2DM, it is important to address the current challenges by establishing a solid evidence base and indicating the strength of recommendations. Overall, 8 CPGs classified as recommended for clinical practice used AGREE II. Fifteen CPGs adhere to <60% of RIGHT checklist items.Conclusions: High-quality evidence is needed to potentially close knowledge gaps and strengthen the recommendation. The AGREE II instrument, along with the RIGHT checklist, should be endorsed and used by CPG developers to ensure higher quality and adequate use of their products.(c) 2022 Canadian Diabetes Association.

Background: COVID-19 might be a risk factor for various chronic diseases. However, the association between COVID-19 and the risk of incident diabetes remains unclear. We aimed to meta-analyze evidence on the relative risk of incident diabetes in patients with COVID-19. Methods: In this systematic review and meta-analysis, the Embase, PubMed, CENTRAL, and Web of Science databases were searched from December 2019 to June 8, 2022. We included cohort studies that provided data on the number, proportion, or relative risk of diabetes after confirming the COVID-19 diagnosis. Two reviewers independently screened studies for eligibility, extracted data, and assessed risk of bias. We used a random-effects meta-analysis to pool the relative risk with corresponding 95 % confidence intervals. Prespecified subgroup and meta-regression analyses were conducted to explore the potential influencing factors. We converted the relative risk to the absolute risk difference to present the evidence. This study was registered in advance (PROSPERO CRD42022337841). Main findings: Ten articles involving 11 retrospective cohorts with a total of 47.1 million participants proved eligible. We found a 64 % greater risk (RR = 1.64, 95%CI: 1.51 to 1.79) of diabetes in patients with COVID-19 compared with non-COVID-19 controls, which could increase the number of diabetes events by 701 (558 more to 865 more) per 10,000 persons. We detected significant subgroup effects for type of diabetes and sex. Type 2 diabetes has a higher relative risk than type 1. Moreover, men may be at a higher risk of overall diabetes than women. Sensitivity analysis confirmed the robustness of the results. No evidence was found for publication bias. Conclusions: COVID-19 is strongly associated with the risk of incident diabetes, including both type 1 and type 2 diabetes. We should be aware of the risk of developing diabetes after COVID-19 and prepare for the associated health problems, given the large and growing number of people infected with COVID-19. However, the body of evidence still needs to be strengthened.

AimsWe aimed to determine the effects of different exercise modalities in patients with type 2 diabetes mellitus (T2DM). MethodsWe searched PubMed, Embase, and the Cochrane Library from their inception until July 2020 to identify randomised controlled trials (RCTs) on exercise in adults with T2DM. Paired reviewers independently performed study selection, data extraction, and risk of bias assessment. The certainty of the evidence was assessed using the Confidence in Network Meta-Analysis (CINeMA) framework. ResultsA total of 106 RCTs that enroled eight exercise modalities with 7438 patients were included. Six exercise modalities, except unsupervised aerobic/resistance exercise, significantly reduced glycosylated haemoglobin (HbA1c), with mean differences (MDs) ranging from 0.71 (95% confidence interval [CI]: 0.34-1.08) to 0.34 (95% CI: 0.17-0.52), low to high certainty, in comparison with no exercise. The evidence of low to moderate certainty showed that supervised aerobic/resistance exercise improved glycaemic control, body weight, blood pressure, and blood lipid profiles compared with no exercise. Flexibility exercise may be associated with glycaemic control (HbA1c: MD = 0.71, 95% CI: 0.34-1.08); fasting plasma glucose (MD = 1.48, 95% CI: 0.78-2.17), and weight loss (MD = 1.80, 95% CI: 0.85-2.75) compared with controls, but not blood pressure and lipid profiles. Balance exercise showed the largest benefit in improving total cholesterol (MD = 52.81, 95% CI: 28.47-77.16) and low certainty. We found no significant differences between exercises and the triacylglycerol (TG) level. ConclusionsOverall, our network meta-analyses support the recommendation for exercise in patients with T2DM, especially supervised exercises. Limited evidence supports the benefits of flexibility and balance exercises. The effectiveness of exercise modalities for TG reduction remains unclear.

Background: Gestational diabetes mellitus was associated with increased risks of complications during pregnancy and delivery. The efficacy of probiotics for preventing atopic disease among overweight and obese pregnant women has not been a unified conclusion. Therefore, we aimed to determine the efficacy and safety of probiotics supplementation for overweight and obese pregnant women. Methods: We searched the Cochrane Library, Embase, PubMed, and Web of Science for randomized controlled trials from the earliest publication date available to September 23, 2020, regardless of language or publication status. Two reviewers independently extracted data with a standardized form. When disagreements arose, a third investigator was consulted. Data was pooled using the generic inverse variance method and expressed as mean differences and relative risk with 95% confidence interval (CI). Heterogeneity was measured and quantified by I-2 statistic. Results: There were no significant differences between probiotics and placebo on GDM (RR = 1.03; 95% CI, 0.81-1.30; P = 0.821; I-2 = 38.7%, P = 0.180), excess gestational weight gain (RR = 0.92; 95% CI, 0.79 -1.06; P = 0.223; I-2 = 91.2%, P = 0.001) and neonatal birth weight (WMD = 28.47; 95% CI, -34.80-91.73; P = 0.383; I-2 = 4.5%, P = 0.381). In addition, probiotics might increase the risk of preeclampsia including superimposed (RR = 1.91; 95% CI, 1.03-3.55; P = 0.001; I-2 = 0.0%, P = 0.994). Conclusions: Probiotics had no better efficacy for prevention of atopic disease in overweight or obese pregnant women. In contrast, excessive probiotics supplementation might increase the risk of preeclampsia. More data will be necessary to determine the prevention efficacy of probiotics with consideration of real-world and other epidemiological settings. (C) 2022 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.

White rice is the food more than half of the world's population depends on. White rice intake can significantly increase the glycemic load of consumers and bring some adverse health effects. However, the quality of evidence implicating white rice in adverse health outcomes remains unclear. To evaluate the association between white rice consumption and the risk of cardiometabolic and cancer outcomes, a systematic review and dose-response meta-analysis of the relevant publications were performed. Twenty-three articles including 28 unique prospective cohorts with 1,527,198 participants proved eligible after a comprehensive search in four databases. For the risk of type 2 diabetes mellitus (T2DM), the pooled RR was 1.18 (16 more per 1000 persons) for comparing the highest with the lowest category of white rice intake, with moderate certainty evidence. Females presented a higher risk (23 more per 1000 persons) in subgroup analysis. And every additional 150 grams of white rice intake per day was associated with a 6% greater risk of T2DM (5 more per 1000 persons) with a linear positive trend. We found no significant associations between white rice intake and risk of cardiovascular diseases (CVD), CVD mortality, cancer, and metabolic syndrome. In conclusion, moderate certainty evidence demonstrated that white rice intake was associated with T2DM risk, with a linear positive trend. However, low to very low certainty of evidence suggested that no substantial associations were found between white rice intake and other cardiometabolic and cancer outcomes. More cohorts are needed to strength the evidence body.

To evaluate the association between shift work and risk of type 2 diabetes mellitus, we searched PubMed, EMBASE and Web of Science from their inception to June 8, 2019. Observational studies examining the relationship between shift work and type 2 diabetes were included. Subgroup analyses were conducted to explore whether specific characteristics would affect the relationship. A dose-response relationship was estimated by using generalized least squares trend regression. Finally, twelve cohort studies and nine cross-sectional studies were included (inter-rater agreement, k = 0.96). The result of meta-analysis indicated that shift work was associated with an increased risk of type 2 diabetes (relative risk = 1.10, 95% confidence interval = 1.05-1.14). Subgroup analyses demonstrated that female shift workers have increased risk of type 2 diabetes while male not observed, health care workers showed the highest risk compared with civil servants and manual workers, and night shift and rotating shift were associated with an increased risk of type 2 diabetes. Dose-response meta-analysis based on three cohorts among female workers indicated that there might be a positive association between duration of shift work and the risk of type 2 diabetes. In conclusion, shift work is positively associated with an increased risk of type 2 diabetes. Among female workers, with the years of exposure to shift work prolonged, the risk of type 2 diabetes might increase accordingly. In the future, more studies are needed to confirm the results of dose-response analysis.

The increasing prevalence of type 2 diabetes has highlighted the importance of evidence-based guidelines for effective prevention, management and treatment. Diabetes self-management education (SME) produces positive effects on patient behaviours and health status. We analyzed the literature to identify (i) the level of integration between usual care and SME programs and (ii) any possible differences across them in terms of outcomes. Searches were made on three databases – PubMed, Scopus and Web of Science - to identify relevant publications on diabetes SME to 2015, which also describe the provider of usual care. In total, 49 studies met the inclusion criteria. We identified three levels of integration (high, medium and low) between usual care and SME programs based on the level of involvement of usual care professionals within the SME programs. In most cases, the primary care physician was responsible for the diabetes patients. Patient health behaviors and/or outcomes improve in most of the studies, independently from the level of integration. However, findings suggest that when patients/participants could perceive that usual care provider is highly involved in SME delivery, educational programs produced results that appear to be more positive.