Current Diabetes Reports最新文献

Purpose of review: Numerous observations have indicated an increased risk of developing various types of cancers, as well as cancer-related mortality, among patients with diabetes and obesity. The purpose of this review is to outline multiple-cancer screening among these patients through a team-based approach and to present the findings of a pioneering integrated care program designed for patients with obesity with a specific emphasis on cancer prevention.

Recent findings: A community-based multi-cancer prevention program, which provides all services in one location and utilizes team-based approaches, is reported to be feasible and has the potential to enhance the uptake rate of multiple cancers screening among patients with diabetes and obesity. The team-based approach is a commonly utilized method for managing patients with diabetes, obesity, and cancer, and has been shown to be efficacious. Nevertheless, research on team-based cancer screening programs for patients with diabetes and obesity remains limited. Providing a comprehensive screening for colorectal, prostate, and breast cancer, as well as metabolic syndrome, during a single clinic visit has been proven effective and well-received by participants.

Purpose of review: Despite the crucial role that prediction models play in guiding early risk stratification and timely intervention to prevent type 2 diabetes after gestational diabetes mellitus (GDM), their use is not widespread in clinical practice. The purpose of this review is to examine the methodological characteristics and quality of existing prognostic models predicting postpartum glucose intolerance following GDM.

Recent findings: A systematic review was conducted on relevant risk prediction models, resulting in 15 eligible publications from research groups in various countries. Our review found that traditional statistical models were more common than machine learning models, and only two were assessed to have a low risk of bias. Seven were internally validated, but none were externally validated. Model discrimination and calibration were done in 13 and four studies, respectively. Various predictors were identified, including body mass index, fasting glucose concentration during pregnancy, maternal age, family history of diabetes, biochemical variables, oral glucose tolerance test, use of insulin in pregnancy, postnatal fasting glucose level, genetic risk factors, hemoglobin A1c, and weight. The existing prognostic models for glucose intolerance following GDM have various methodological shortcomings, with only a few models being assessed to have low risk of bias and validated internally. Future research should prioritize the development of robust, high-quality risk prediction models that follow appropriate guidelines, in order to advance this area and improve early risk stratification and intervention for glucose intolerance and type 2 diabetes among women who have had GDM.

Purpose of review: In type 2 diabetes (T2D) research, the phrase "attention control group" (ACGs) has been used with varying descriptions. We aimed to systematically review the variations in the design and use of ACGs for T2D studies.

Recent findings: Twenty studies utilizing ACGs were included in the final evaluation. Control group activities had the potential to influence the primary outcome of the study in 13 of the 20 articles. Prevention of contamination across groups was not mentioned in 45% of the articles. Eighty-five percent of articles met or somewhat met the criteria for having comparable activities between the ACG and intervention arms. Wide variations in descriptions and the lack of standardization have led to an inaccurate use of the phrase "ACGs" when describing the control arm of trials, indicating a need for future research with focus on the adoption of uniform guidelines for use of ACGs in T2D RCTs.

Purpose of review: Depression is prevalent and common among individuals living with diabetes. The aim of this review is to systematically assess and meta-analyze the treatment effect of cognitive-behavioral therapy for depression (and other affective outcomes) among patients with diabetes.

Recent findings: Earlier investigations found both psychosocial and pharmacological interventions, including cognitive-behavioral therapy, were promising in managing depression in patients with diabetes, though these findings remain inclusive due to poor study designs and a small number of trials included, which calls for a comprehensive systematic review and meta-analysis. A total of 33 studies (89 effect sizes) reported a moderate and statistically significant treatment effect of cognitive-behavioral therapy for depressive symptoms among individuals with diabetes (d = 0.301, 95% CI 0.115-0.487, p < 0.001). On average, cognitive-behavioral therapy was effective for psychological stress/distress outcomes but not for anxiety or physiological outcomes. The findings of the study confirmed CBT as an effective treatment option for depression among diabetes patients and identified important areas for future research.

Purpose of review: Multiple studies report an increased incidence of diabetes following SARS-CoV-2 infection. Given the potential increased global burden of diabetes, understanding the effect of SARS-CoV-2 in the epidemiology of diabetes is important. Our aim was to review the evidence pertaining to the risk of incident diabetes after COVID-19 infection.

Recent findings: Incident diabetes risk increased by approximately 60% compared to patients without SARS-CoV-2 infection. Risk also increased compared to non-COVID-19 respiratory infections, suggesting SARS-CoV-2-mediated mechanisms rather than general morbidity after respiratory illness. Evidence is mixed regarding the association between SARS-CoV-2 infection and T1D. SARS-CoV-2 infection is associated with an elevated risk of T2D, but it is unclear whether the incident diabetes is persistent over time or differs in severity over time. SARS-CoV-2 infection is associated with an increased risk of incident diabetes. Future studies should evaluate vaccination, viral variant, and patient- and treatment-related factors that influence risk.

Purpose of review: This review aims to analyse the consistency of reports suggesting the role of Diabetes Mellitus in the pathogenesis of Helicobacter pylori (H. pylori).

Recent findings: There have been numerous controversies citing the prevalence of H. pylori infections in patients suffering from type 2 diabetes mellitus (T2DM). This review investigates the possible crosstalk between H. pylori infections and T2DM and also designs a meta-analysis to quantify the association. Subgroup analyses have also been conducted to deduce factors like geography and testing techniques, in playing a role in stratification analysis. Based on a scientific literature survey and meta-analysis of databases from 1996 to 2022, a trend towards more frequent H. pylori infections in patients with diabetes mellitus was observed. The highly diversified nature of H. pylori infections across age, gender, and geographical regions requires large interventional studies to evaluate its long-term association with diabetes mellitus. Further possible linkage of the prevalence of diabetes mellitus concomitant with that of H. pylori infected patients has also been delineated in the review.

Purpose of review: When the Supreme Court handed down its decision in Dobbs v Jackson Women's Health Organization in June 2022, the constitutional right to abortion was no longer protected by Roe v Wade. Fifteen states now have total or near-total bans on abortion care or no clinics providing abortion services. We review how these restrictions affect the medical care of people with pregestational diabetes.

Recent findings: Of the ten states with the highest percent of adult women living with diabetes, eight currently have complete or 6-week abortion bans. People with diabetes are at high risk of diabetes-related pregnancy complications and pregnancy-related diabetes complications and are disproportionately burdened by abortion bans. Abortion is an essential part of comprehensive, evidence-based diabetes care, yet no medical society has published guidelines on pregestational diabetes that explicitly discuss the importance and role of safe abortion care. Medical societies enacting standards for diabetes care and clinicians providing diabetes care must advocate for access to abortion to reduce pregnancy-related morbidity and mortality for pregnant people with diabetes.

Purpose of review: This review aims to elucidate the limitations of diagnosing metabolic syndrome in adolescents as well as challenges and opportunities in the identification and reduction of cardiometabolic risk in this population.

Recent findings: There are multiple criticisms of how we define and approach obesity in clinical practice and scientific research, and weight stigma further complicates the process of making and communicating weight-related diagnoses. While the goal of diagnosing and managing metabolic syndrome in adolescents would be to identify individuals at elevated future cardiometabolic risk and intervene to reduce the modifiable component of this risk, there is evidence that identifying cardiometabolic risk factor clustering may be more useful in adolescents than establishing a cutoff-based diagnosis of metabolic syndrome. It has also become clear that many heritable factors and social and structural determinants of health contribute more to weight and body mass index than do individual behavioral choices about nutrition and physical activity. Promoting cardiometabolic health equity requires that we intervene on the obesogenic environment and mitigate the compounding effects of weight stigma and systemic racism. The existing options to diagnose and manage future cardiometabolic risk in children and adolescents are flawed and limited. While striving to improve population health through policy and societal interventions, there are opportunities to intervene at all levels of the socioecological model in order to decrease future morbidity and mortality from the chronic cardiometabolic diseases associated with central adiposity in both children and adults. More research is needed to identify the most effective interventions.

Purpose of review: Inpatient glucose data analysis, or glucometrics, has developed alongside the growing emphasis on glycemic control in the hospital. Shortcomings in the initial capabilities for glucometrics have pushed advancements in defining meaningful units of measurement and methods for capturing glucose data. This review addresses the growth in glucometrics and ends with its promising new state.

Recent findings: Standardization, allowing for benchmarking and purposeful comparison, has been a goal of the field. The National Quality Foundation glycemic measures and recently enacted Center for Medicare and Medicaid Services (CMS) electronic quality measures for hypo- and hyperglycemia have allowed for improved integration and consistency. Prior systems have culminated in an upcoming measure from the Center for Disease Control and Prevention's National Healthcare Safety Network. It is poised to create a new gold standard for glucometrics by expanding and refining the CMS metrics, which should empower both local improvement and benchmarking as the program matures.