Journal of Diabetes最新文献

{"title":"Comparative Analysis of Type 2 Diabetes Prevalence and Clinical Profiles in Ethiopia and Nigeria","authors":"Assefa Mulu Baye,&nbsp;Teferi Gedif Fenta,&nbsp;Suvi Karuranga,&nbsp;Ifeyinwa Dorothy Nnakenyi,&nbsp;Ekenechukwu Esther Young,&nbsp;Colin Palmer,&nbsp;Ewan R. Pearson,&nbsp;Ifeoma Isabella Ulasi,&nbsp;Adem Y. Dawed","doi":"10.1111/1753-0407.70078","DOIUrl":"https://doi.org/10.1111/1753-0407.70078","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>We aimed to determine the prevalence of diabetes and the clinical profiles of Type 2 diabetes in Ethiopia and Nigeria.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A community-based cross-sectional study was carried out from November 01, 2020 to October 21, 2021 among 1727 participants using a multistage sampling method. The WHO's STEPs tool was employed. Both fasting and oral glucose tolerance tests were used for screening and American Diabetes Association's (ADA's) diagnostic criteria was used. Stata version 17 was used for analysis. Analysis of Variance (ANOVA) and the Chi-square test were used to compare variables. Significance was declared at a <i>p</i>-value less than 0.05.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Result</h3>\u0000 \u0000 <p>Of the surveyed participants, 872 (50.5%) were men and the mean age was 44.6 years. The overall prevalence of prediabetes and diabetes was 15.8% and 7.0%, respectively. Impaired fasting glycaemia and glucose tolerance were 11.8% and 11.5%, respectively. The prevalence of newly diagnosed diabetes was 3.4% by fasting and 4.0% by oral glucose tolerance test. Participants with normal blood glucose were younger and had a lower weight, body mass index (BMI), waist circumference, diastolic, and systolic blood pressure, and history of hypertension than those with prediabetes and diabetes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>In the present study, there is a notably high diabetes and prediabetes prevalence in the study settings. Individuals with diabetes in Ethiopia compared to Nigeria and the West have different anthropometric and clinical profiles characterized by a young age of onset, leanness, lower BMI, and waist circumference. Hence, the management of diabetes shall be tailored to the unique physiologic and clinical profiles of the population.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70078","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Socioeconomic Status, Modifiable Factors, and Risk of Microvascular Complications in Individuals With Type 2 Diabetes: A Cohort Study From the UK Biobank","authors":"Ying Li,&nbsp;Qiqi You,&nbsp;Menglin Fan,&nbsp;Lingqi Wei,&nbsp;Jingjing Zeng,&nbsp;Bo Chen,&nbsp;Jie Wang,&nbsp;Shaoyong Xu","doi":"10.1111/1753-0407.70079","DOIUrl":"https://doi.org/10.1111/1753-0407.70079","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>To investigate whether lower socioeconomic status (SES) was associated with an increased risk of diabetic microvascular complications and to analyze the potential mediating role of several modifiable factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The study included 11 309 patients with type 2 diabetes at baseline from the UK Biobank cohort. SES was grouped based on income, education, and employment status by using latent class analysis. Microvascular complications of diabetes were identified through electronic health records. Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for microvascular complications across SES groups. Mediation analysis was applied to explore potential mediators in these associations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>During a median follow-up of 12.2 years, 262, 764, and 1017 participants in the high, medium, and low SES groups were diagnosed with microvascular complications. Compared to participants with high SES, those with low SES had a HR of 1.75 (95% CI: 1.53, 2.01) for total microvascular complications, a HR of 2.11 (95% CI: 1.74, 2.55) for nephropathy, a HR of 1.40 (95% CI: 1.14, 1.72) for retinopathy, and a HR of 1.79 (95% CI: 1.32, 2.43) for neuropathy. Mediation analysis indicated that alcohol consumption, body mass index, triglycerides, high density lipoprotein cholesterol, and glycated hemoglobin mediated the association between SES and microvascular complications, with mediation percentages of 1.3%, 12.2%, 4.4%, 10.9%, and 10.8%, respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Lower SES may be associated with a higher risk of diabetic microvascular complications, and obesity-related indicators and glycated hemoglobin may play important mediating roles in the association.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70079","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Muscle Strength, Genetic Risk, and Type 2 Diabetes Among Individuals of South Asian Ancestry: A UK Biobank Study","authors":"Ziyuan Chen,&nbsp;Paul James Collings,&nbsp;Mengyao Wang,&nbsp;Haeyoon Jang,&nbsp;Qiaoxin Shi,&nbsp;Hin Sheung Ho,&nbsp;Shan Luo,&nbsp;Shiu Lun Au Yeung,&nbsp;Youngwon Kim","doi":"10.1111/1753-0407.70074","DOIUrl":"https://doi.org/10.1111/1753-0407.70074","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To examine the independent and combined associations of genetic risk and muscle strength with the risk of incident type 2 diabetes (T2D) and glycated hemoglobin (HbA1c) among individuals of South Asian ancestry.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design and Methods</h3>\u0000 \u0000 <p>This study included 5288 South Asian individuals (mean age 52.5 years; 52.3% men) from the UK Biobank study. Baseline assessments were conducted between 2006 and 2010. Muscle strength was assessed through a hand dynamometer and expressed relative to fat-free mass. Sex-and age-specific tertiles were used to classify muscle strength into three categories. Genetic risk of T2D was quantified using a weighted polygenic risk score calculated from 22 distinct South Asian-specific single nucleotide polymorphisms for T2D.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Compared to the bottom tertile of genetic risk for T2D, the highest had increased odds of incident T2D (odds ratio: 1.62; 95% confidence interval [CI]: 1.31–2.00) and HbA1c levels (<i>β</i>: 0.80; 95% CI 0.41–1.19). Compared to high muscle strength, low muscle strength was associated with 89% higher odds of incident T2D (odds ratio: 1.89; 95% CI 1.52–2.35) and higher HbA1c levels (<i>β</i>: 0.95; 95% CI 0.55–1.35), after adjustment for confounders and genetic susceptibility to T2D. Joint analyses revealed lower muscle strength was consistently associated with higher odds of incident T2D and HbA1c levels across all genetic risk strata.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Polygenic risk scores for T2D could have great prognostic value in preemptively identifying individuals of South Asian ancestry at high genetic risk of T2D. Regardless of T2D genetic risk, greater muscle strength is linked to lower T2D risk and HbA1c levels.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70074","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and Clinical Characteristics of NEUROD1-MODY in Chinese Early-Onset Type 2 Diabetes Mellitus and a Literature Review","authors":"Tianhao Ba,&nbsp;Qian Ren,&nbsp;Siqian Gong,&nbsp;Meng Li,&nbsp;Hong Lian,&nbsp;Xiaoling Cai,&nbsp;Wei Liu,&nbsp;Yingying Luo,&nbsp;Simin Zhang,&nbsp;Rui Zhang,&nbsp;Lingli Zhou,&nbsp;Yu Zhu,&nbsp;Xiuying Zhang,&nbsp;Jing Chen,&nbsp;Jing Wu,&nbsp;Xianghai Zhou,&nbsp;Yufeng Li,&nbsp;Xirui Wang,&nbsp;Fang Wang,&nbsp;Liyong Zhong,&nbsp;Xueyao Han,&nbsp;Linong Ji","doi":"10.1111/1753-0407.70080","DOIUrl":"https://doi.org/10.1111/1753-0407.70080","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Maturity-onset diabetes of the young resulting from mutations of the NEUROD1 gene (NEUROD1-MODY) is a rare form of diabetes and has not been well studied. We aimed to estimate its prevalence in Chinese patients with early-onset type 2 diabetes mellitus (EOD) and summarize its clinical and genetic characteristics.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We performed next-generation sequencing in 679 patients with EOD to screen rare variants in NEUROD1 exons and evaluated the effects of variants using in vitro experiments. All the reported NEUROD1-MODY cases were reviewed. Patients carrying pathogenic or likely pathogenic variants were diagnosed with NEUROD1-MODY according to the American College of Medical Genetics and Genomics guidelines.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Four rare variants were identified in 679 patients with EOD, but only P197H decreased the transcriptional activity in in vitro functional assays to an extent comparable to the well-known mutation causing NEUROD1-MODY. Its frequency was pretty higher in the European population (0.024) than that in the East Asian population (0.00034) according to the gnomAD database. Twenty-eight previously reported patients could be confirmed as diagnosed. The patients in Asia had a lower body mass index and a higher rate of ketosis compared with Caucasians, and the mutations present in Asia often occurred in the transactivation domain. Neurological abnormalities were observed in 10.7% of the patients with NEUROD1-MODY.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>NEUROD1-MODY in Chinese patients with EOD is not common (≤ 0.15%). The P197H might account for MODY in Chinese with a higher penetrance than Caucasian and needs further exploration. The possible differences of phenotypes exist between the two ethnic populations.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70080","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diabetes Complications and Comorbidities as Risk Factors for MACE in People With Type 2 Diabetes and Their Development Over Time: A Danish Registry-Based Case–Control Study","authors":"Asger Ahlmann Bech,&nbsp;Mia Daugaard Madsen,&nbsp;Annika Vestergaard Kvist,&nbsp;Peter Vestergaard,&nbsp;Nicklas Højgaard-hessellund Rasmussen","doi":"10.1111/1753-0407.70076","DOIUrl":"https://doi.org/10.1111/1753-0407.70076","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>This study aimed to investigate the association between cardiovascular risk factors and major adverse cardiovascular events (MACE) in people with type 2 diabetes, while assessing potential changes over time.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Utilizing data from Danish registries, this study identified people with type 2 diabetes between 2002 and 2021 (<i>n</i> = 372 328) and subdivided them into two 10-year time periods: TP1: 2002–2011 and TP2: 2012–2021, and further categorized into cases and controls. Cases were defined as having suffered a first-time three-point MACE (<i>n</i>_TP1 = 12 713, <i>n</i>_TP2 = 8981) and matched 1:1 with controls on age, sex, and type 2 diabetes duration. Exposures were preselected diabetes complications and comorbidities.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Fewer were affected by MACE during TP2 compared to TP1 (<i>p</i> &lt; 0.001). Diabetes complications associated with MACE were nephropathy (OR_TP1 = 1.54, 95% CI 1.30–1.83, OR_TP2 = 1.47, 95% CI 1.20–1.79), neuropathy (OR_TP1 = 2.02, 95% CI 1.84–2.21 OR_TP2 = 1.58, 95% CI 1.44–1.73) and retinopathy (OR_TP1 = 1.10, 95% CI 0.98–1.23, OR_TP2 = 1.38, 95% CI 1.17–1.63). Comorbidities associated with MACE included hypertension (OR_TP1 = 1.30, 95% CI 1.22–1.38 OR_TP2 = 1.31, 95% CI 1.22–1.41), atrial flutter or fibrillation (OR_TP1 = 1.46, 95% CI 1.35–1.58, OR_TP2 = 1.37, 95% CI 1.26–1.50), heart failure (OR_TP1 = 1.53, 95% CI 1.401.67-, OR_TP2 = 1.37, 95% CI 1.23–1.54) and hypercholesterolemia (OR_TP1 = 1.13, 95% CI 1.07–1.20, OR_TP2 = 1.02, 95% CI 0.96–1.10). Hypercholesterolemia (<i>p =</i> 0.038) and neuropathy (<i>p =</i> 0.038) exhibited a significant decrease in association with MACE between the time periods.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The prevalence of first-time MACE decreased over time, despite a relatively stable prevalence of type 2 diabetes. Several diabetes-related complications and comorbidities were significantly associated with MACE. The associations of neuropathy and hypercholesterolemia with MACE lessened over time, suggesting potential improvements in risk management or treatment strategies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 3","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70076","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Relationship Between Glycated Albumin and Time in Tight Range in Type 2 Diabetes","authors":"Jiaying Ni,&nbsp;Wenshuo Han,&nbsp;Yaxin Wang,&nbsp;Jiamin Yu,&nbsp;Wei Lu,&nbsp;Yufei Wang,&nbsp;Xiaojing Ma,&nbsp;Jingyi Lu,&nbsp;Jian Zhou","doi":"10.1111/1753-0407.70073","DOIUrl":"https://doi.org/10.1111/1753-0407.70073","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>Among the new glucose metrics derived from continuous glucose monitoring, the concept of time in tight range (TITR) has gained increasing attention. We aimed to assess the association between TITR and traditional glycemic indicators, such as glycated albumin (GA).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A total of 310 patients with type 2 diabetes on a stable glucose-lowering regimen over the previous 3 months were enrolled. TITR and time in range (TIR) were calculated using continuous glucose monitoring data collected over a minimum of 5 days. Spearman correlation analysis was performed to assess the relationships between traditional glycemic indicators, including GA and HbA1c, with TITR and TIR. Receiver operating characteristic curves were used to evaluate the predictive value of GA for TITR &gt; 50% and TIR &gt; 70%.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The median levels of GA and HbA1c were 15.6% (14.0%, 17.3%) and 6.5% (6.1%, 7.1%), respectively. Median TITR and TIR were 70.0% (56.0%, 81.0%) and 91.0% (84.0%, 96.8%), respectively. Spearman correlation analysis showed a moderate negative relationship between GA and both TITR and TIR. The optimal GA cutoff for identifying either TITR &gt; 50% or TIR &gt; 70% was 17.4%. Moreover, combining GA with fasting plasma glucose or 2-h postprandial glucose significantly enhanced the ability to identify TITR &gt; 50%, achieving performance comparable to the combination of HbA1c and plasma glucose.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>In patients with type 2 diabetes, a GA cutoff of 17.4% effectively identifies TITR &gt; 50%.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 3","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70073","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143699033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Medical Education in Diabetes Management on the New Horizon: Insights From Metabolic Management Center","authors":"Guang Ning","doi":"10.1111/1753-0407.70075","DOIUrl":"10.1111/1753-0407.70075","url":null,"abstract":"&lt;p&gt;The global diabetes epidemic presents a formidable challenge to healthcare systems, with 529 million cases documented in 2021 and projections estimating a rise to more than 1.31 billion by 2050 [&lt;span&gt;1&lt;/span&gt;]. Low- and middle-income countries bear a disproportionate burden, representing 80% of global diabetes cases [&lt;span&gt;2&lt;/span&gt;]. Notably, China has the largest population living with diabetes worldwide, with over 118 million individuals affected [&lt;span&gt;1&lt;/span&gt;], accompanied by alarmingly low rates of awareness, treatment, and control [&lt;span&gt;3, 4&lt;/span&gt;]. Driven by rapid urbanization, an aging population, significant environmental and lifestyle shifts, and regional and socioeconomic disparities, China faces an urgent imperative to effectively address these challenges.&lt;/p&gt;&lt;p&gt;The National Metabolic Management Center (MMC), launched in 2016, emerged as a response to these challenges. Guided by the principle of “One Center, One Stop, One Standard,” MMC integrates cutting-edge medical equipment, evidence-based protocols and multidisciplinary collaboration to redefine diabetes management [&lt;span&gt;5&lt;/span&gt;]. The MMC establishes a nationwide network of metabolic centers across hospitals and primary healthcare facilities in China to enhance guideline-based diabetes management. This editorial delineates MMC's development journey, emphasizing its innovations in patient care, medical education, artificial intelligence (AI)-driven precision medicine, and global contributions to metabolic health governance.&lt;/p&gt;&lt;p&gt;MMC's operational model revolutionizes traditional fragmented care by consolidating services into a unified center. Guided by the MMC Experts Committee, a series of standard operating procedures (SOPs) and MMC-specific guidelines have been developed to standardize the disease management. At every MMC, patients can receive one-stop care encompassing the complete spectrum of healthcare services from initial registration, diagnostic testing, clinical assessment, therapeutic prescription, to formulation of personalized follow-up strategies [&lt;span&gt;6-8&lt;/span&gt;]. To ensure the nationwide implementation of this model, the MMC has established a four-tiered prevention and control network, comprising the MMC leading center, regional centers, county centers, and community centers. A teleconsultation and referral system for complex cases has been integrated into this network, enabling seamless communication and patient transfers across different levels of MMCs. Furthermore, the MMC leverages a health information platform based on Internet of Things (IoT) and advanced technologies to support continuous and personalized care delivery, effectively bridging the gap between hospital-based and community-based management. Central to the MMC platform are two interconnected systems: the MMC digital medical record system and the online education system.&lt;/p&gt;&lt;p&gt;The digital medical record system integrates comprehensive clinical phenotyping, detailed biochemical profiling,","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 3","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11922674/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143661812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative Analysis of AI Tools for Disseminating ADA 2025 Diabetes Care Standards: Implications for Cardiovascular Physicians","authors":"Tengfei Zheng","doi":"10.1111/1753-0407.70072","DOIUrl":"https://doi.org/10.1111/1753-0407.70072","url":null,"abstract":"&lt;p&gt;Artificial intelligence (AI) models are increasingly used in clinical practice, including medical education and the dissemination of updated clinical guidelines. In this study, we evaluated four AI tools—ChatGPT-4o, ChatGPT-o1, ChatGPT-o3Mini, and DeepSeek—to assess their ability to summarize the &lt;i&gt;Standards of Care in Diabetes—2025&lt;/i&gt; from the American Diabetes Association (ADA) for cardiovascular physicians in primary care settings [&lt;span&gt;1&lt;/span&gt;].&lt;/p&gt;&lt;p&gt;Using a standardized prompt, we compared the AI-generated summaries across 10 key metrics, including accuracy (alignment with ADA 2025 guidelines), completeness (inclusion of core topics such as glycemic targets, blood pressure management, lipid control, and pharmacologic strategies), clarity (readability and conciseness for cardiovascular physicians), clinical relevance (utility for real-world cardiovascular practice), consistency (logical coherence and uniformity in recommendations), evidence support (reference to supporting studies and ADA standards), ethics (neutral and evidence-based recommendations), timeliness (inclusion of the latest ADA updates), actionability (practical guidance for cardiovascular physicians), and fluency (professional language and structure). Each AI tool was rated on a 0–5 scale for each category, yielding a total possible score of 50 points. All summaries were anonymized to remove identifiers. Each model (ChatGPT-4o, ChatGPT-o1, ChatGPT-o3Mini, and DeepSeek) was then tasked with evaluating all four anonymized summaries, including its own output, using the predefined 10 metrics. For each model, the four scores assigned by the evaluators (including self-evaluation) were averaged to calculate the final score per metric.&lt;/p&gt;&lt;p&gt;Our evaluation showed that ChatGPT-o1 performed best (48.3/50), excelling in completeness (5.0), clinical relevance (5.0), and actionability (5.0), with comprehensive coverage of diabetes screening, cardiovascular risk assessment, hypertension/lipid management, and multidisciplinary collaboration (Table 1). However, its evidence support (4.0) required improvement. ChatGPT-4o (45.5/50) demonstrated strengths in clarity (4.8) and structure but had limitations in timeliness (4.5) and evidence support (3.3), as it failed to incorporate 2025 guideline updates and lacked specific research references. The free models, O3Mini (47.3/50) and DeepSeek (47.3/50), performed comparably to paid tools. O3Mini excelled in consistency (5.0) and CKD/heart failure monitoring, while DeepSeek prioritized concise cardiovascular risk management (clarity: 5.0). Both free models, however, scored lower in completeness (O3Mini: 4.8; DeepSeek: 4.5) and evidence support (O3Mini: 4.0; DeepSeek: 3.8), reflecting insufficient integration of 2025 updates and trial data (Table 1).&lt;/p&gt;&lt;p&gt;Among the most critical takeaways for cardiovascular physicians were the importance of individualized glycemic targets, the use of SGLT2 inhibitors and GLP-1 receptor agonists for cardiovascu","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 3","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70072","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of Glycaemia Risk Index With Indices of Atherosclerosis: A Cross-Sectional Study","authors":"Keiichi Torimoto,&nbsp;Yosuke Okada,&nbsp;Tomoya Mita,&nbsp;Kenichi Tanaka,&nbsp;Fumiya Sato,&nbsp;Naoto Katakami,&nbsp;Hidenori Yoshii,&nbsp;Keiko Nishida,&nbsp;Yoshiya Tanaka,&nbsp;Ryota Ishii,&nbsp;Masahiko Gosho,&nbsp;Iichiro Shimomura,&nbsp;Hirotaka Watada","doi":"10.1111/1753-0407.70065","DOIUrl":"https://doi.org/10.1111/1753-0407.70065","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>This study determined the association of the glycaemia risk index (GRI), a novel comprehensive metric derived from continuous glucose monitoring (CGM), and atherosclerosis in patients with type 2 diabetes (T2DM).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We evaluated the relationship between GRI and intima-media thickness (IMT), gray-scale median (GSM), tissue characteristics of the carotid artery wall, and brachial-ankle pulse wave velocity (baPWV), using baseline data from a multicenter prospective cohort study of 1000 Japanese patients with T2DM free of cardiovascular disease (CVD).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The study subjects were 999 patients (age: 64.6 ± 9.6 years, mean ± SD, 60.9% males, body mass index: 24.6 ± 3.9 kg/m², HbA1c 7.1% ± 0.8%, TIR 78.9% ± 18.6%) with T2DM (duration of 12.9 ± 8.5 years). A higher GRI was associated with a longer duration of diabetes, a higher HbA1c level, a mean glucose level, and baPWV, and lower mean GSM. No association was noted between GRI and mean IMT. GRI was significantly associated with mean GSM (regression coefficient, <i>β</i> = −0.1277; 95% confidence interval: CI: −0.2165 to −0.0390, <i>p</i> = 0.005) and baPWV (regression coefficient, <i>β</i> = −3.1568; 95% CI: 1.5058 to 4.8079, <i>p</i> &lt; 0.001) after adjustment for various cardiovascular risk factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>GRI is a potentially useful predictor of atherosclerosis in patients with T2DM. Our findings suggest that GRI, a marker of the risk of hypoglycaemia and hyperglycaemia, may serve as a clinically useful tool for the assessment of the risk of CVD in patients with T2DM, independent of the classical cardiovascular risk factors.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 3","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sex Differences in the Efficacy of Glucagon-Like Peptide-1 Receptor Agonists for Weight Reduction: A Systematic Review and Meta-Analysis","authors":"Yucheng Yang,&nbsp;Liyun He,&nbsp;Shumeng Han,&nbsp;Na Yang,&nbsp;Yiwen Liu,&nbsp;Xuechen Wang,&nbsp;Ziyi Li,&nbsp;Fan Ping,&nbsp;Lingling Xu,&nbsp;Wei Li,&nbsp;Huabing Zhang,&nbsp;Yuxiu Li","doi":"10.1111/1753-0407.70063","DOIUrl":"https://doi.org/10.1111/1753-0407.70063","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To verify sex differences of GLP-1RAs for weight reduction.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We searched RCTs reporting weight change by sex from PubMed, Web of Science, Embase, Cochrane Library, and ClinicalTrials registries. Meta-regression was performed to evaluate the association between weight reduction and sex differences. Subgroup analyses were stratified by individual GLP-1RA medications, dose, treatment duration, indication, type of control, background treatment, and baseline weight. The study protocol was registered (CRD42023480167).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Fourteen studies covering dulaglutide, exenatide, liraglutide, semaglutide, and retatrutide were included in this study. The meta-analysis showed that females lost more weight than males (MD 1.04 kg [95% CIs 0.70–1.38]; MD 1.69% [95% CI 0.78–2.61]). The pooled results of GLP-1RAs indicated similar results (MD 0.88 kg [95% CIs 0.67–1.09]). Meta-regression illustrated that substantial weight reduction was significantly relevant to greater gender differences (<i>β</i> = −0.19 [95% CIs −0.29 to −0.09]). Subgroup analysis demonstrated that indications for weight reduction increased the gender difference in weight reduction (MD 4.21 kg [95% CIs 1.75–6.67]). Background treatment, dose, duration of treatment, baseline weight, and type of control had no subgroup differences in the sex difference in weight reduction of GLP-1RAs. Dulaglutide (MD 0.88 kg [95% CIs 0.63–1.12]) and semaglutide (MD 1.04 kg [95% CIs 0.45–1.63]) showed statistically significant differences in weight reduction between males and females. No gender difference was observed in the exenatide subgroup analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Females lost more weight than males when treated with GLP-1RAs for weight reduction. The sex difference in weight reduction became more pronounced as the degree of weight reduction increased. Indications for obesity could magnify this sex difference.</p>\u0000 \u0000 <div>\u0000 \u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 3","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143554460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}