Journal of diabetes and its complications最新文献

{"title":"The health stage of cardiovascular-kidney-metabolic (CKM) syndrome is useful for predicting all-cause mortality in patients with type 2 diabetes: a cohort study in a period prior to the standard use of recent pharmacotherapy","authors":"Keitaro Nishizawa ,&nbsp;Marenao Tanaka ,&nbsp;Tatsuya Sato ,&nbsp;Tomohito Gohda ,&nbsp;Nozomu Kamei ,&nbsp;Maki Murakoshi ,&nbsp;Yukinori Akiyama ,&nbsp;Wataru Kawaharata ,&nbsp;Hiroki Aida ,&nbsp;Hidemichi Kouzu ,&nbsp;Naoya Yama ,&nbsp;Mitsunobu Kubota ,&nbsp;Michiyoshi Sanuki ,&nbsp;Yusuke Suzuki ,&nbsp;Masato Furuhashi","doi":"10.1016/j.jdiacomp.2025.109146","DOIUrl":"10.1016/j.jdiacomp.2025.109146","url":null,"abstract":"<div><h3>Aim</h3><div>Cardiovascular-kidney-metabolic (CKM) syndrome is a recently defined systemic condition linking cardiovascular disease, chronic kidney disease and metabolic disorders including type 2 diabetes (T2D). Although the CKM staging has been proposed for integrated risk assessment, its association with all-cause mortality in patients with T2D remains unclear. We investigated the prognosis in patients with T2D assigned by the CKM health stage.</div></div><div><h3>Methods</h3><div>A total of 632 Japanese patients with T2D were enrolled. The primary endpoint was all-cause death.</div></div><div><h3>Results</h3><div>The numbers of the recruited patients with stages 2, 3 and 4 were 353 (55.9 %), 116 (18.3 %) and 163 (25.8 %), respectively. During a median follow-up of 64 months (35,327 person-months), 62 patients (9.8 %) died. Kaplan-Meier survival curves analysis showed significant differences in cumulative mortality among CKM health stages (log-rank test: <em>P</em> &lt; 0.001) with higher cumulative mortality in stages 3 and 4 than in stage 2. Multivariable Cox proportional hazard models after adjustment of age, sex, body mass index, current smoking habit, cancer, relevant medications and hemoglobin A1c showed that adjusted hazard ratios (HRs) [95 % confidence intervals] for all-cause death were significantly higher in patients with stages 3 (2.25[1.08–4.69]) and those with stage 4 (2.87[1.41–5.84]) than in those with stage 2 as the reference. After additional adjustment of N-terminal pro-brain natriuretic peptide and estimated glomerular filtration rate among definition criteria for staging, the association of stages with all-cause death remained statistically significant in only stage 4 (2.16[1.02–4.56]).</div></div><div><h3>Conclusion</h3><div>The CKM health staging is useful for predicting all-cause mortality in Japanese patients with T2D.</div></div>","PeriodicalId":15659,"journal":{"name":"Journal of diabetes and its complications","volume":"39 10","pages":"Article 109146"},"PeriodicalIF":3.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144781480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is there a link between dry eye disease and diabetes mellitus? A systematic review and meta-analysis","authors":"Kai-Yang Chen ,&nbsp;Hoi-Chun Chan ,&nbsp;Chi-Ming Chan","doi":"10.1016/j.jdiacomp.2025.109149","DOIUrl":"10.1016/j.jdiacomp.2025.109149","url":null,"abstract":"<div><h3>Background</h3><div>Keratoconjunctivitis sicca, or the dry eye disease (DED) is prevalent multifactorial disorder of the tears and ocular surface, which has lately been interested scholars, particularly in establishing its link with diabetes mellitus (DM). This study aimed to evaluate the association between DM and DED through a comprehensive systematic review and meta-analysis of existing published articles, and thus understand the attributed risks for DED development in diabetic patients.</div></div><div><h3>Methods</h3><div>Four databases, PubMed, Cochrane Library (CENTRAL), Web of Science, and Google Scholar, were electronically searched for relevant publications. Peer-reviewed articles in English language reporting on DED prevalence among diabetic population published over the last 10 years were considered. A random effect model with odds ratio (OR) and risk ratio (RR) and respective confidence intervals were used in our statistical analysis to determine pooled effect sizes.</div></div><div><h3>Results</h3><div>This study included 23 studies with 5566 participants. Diabetic individuals had a significantly higher prevalence of dry eye disease (DED) than non-diabetics (OR: 2.30 [95 % CI: 1.54–3.43]; RR: 1.69 [95 % CI: 1.28–2.25]). Older age (&gt;50 years), longer diabetes duration (&gt;10 years), and poor glycemic control (HbA1c &gt;7 %) were associated with increased DED risk. Gender-based findings varied, with slightly higher odds in males, though not statistically significant. High heterogeneity (I² = 72 %) was observed, but sensitivity analyses confirmed result stability. Minimal publication bias was detected. Mechanisms linking diabetes to DED included oxidative stress, inflammation, and neuropathy-related tear dysfunction.</div></div><div><h3>Conclusions</h3><div>Our study confirmed a significant association between DM and DED prevalence and severity, and diabetic patients exhibit higher DED risks. These risks are pronounced in older adults, particularly those diagnosed with T2DM.”. Hence, early detection and management of DED in diabetic population is a priority to enhance patient's quality of life.</div></div>","PeriodicalId":15659,"journal":{"name":"Journal of diabetes and its complications","volume":"39 10","pages":"Article 109149"},"PeriodicalIF":3.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beneficial effects of SGLT-2 inhibitors on cardiac autonomic function: surprises never end!","authors":"Dimitrios Patoulias ,&nbsp;Paschalis Karakasis ,&nbsp;Imran Rangraze ,&nbsp;Mohamed El-Tanani ,&nbsp;Manfredi Rizzo","doi":"10.1016/j.jdiacomp.2025.109113","DOIUrl":"10.1016/j.jdiacomp.2025.109113","url":null,"abstract":"","PeriodicalId":15659,"journal":{"name":"Journal of diabetes and its complications","volume":"39 10","pages":"Article 109113"},"PeriodicalIF":3.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144564825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Response to letter to the editor by Lai-Ming Kathleen Pak et al on: Identifying predictors of SGLT2 inhibitor and GLP1R agonist use in hospital among adults with diabetes","authors":"Michael Colacci ,&nbsp;Ashley Raudanskis ,&nbsp;Michael Fralick","doi":"10.1016/j.jdiacomp.2025.109046","DOIUrl":"10.1016/j.jdiacomp.2025.109046","url":null,"abstract":"","PeriodicalId":15659,"journal":{"name":"Journal of diabetes and its complications","volume":"39 10","pages":"Article 109046"},"PeriodicalIF":3.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144013214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of time in range and glycemic risk index with insulin resistance and diabetic kidney disease in patients with type 2 diabetes","authors":"Zhe Yang ,&nbsp;Baozhen Zheng ,&nbsp;Guojing Luo ,&nbsp;Xiaoyan Xin ,&nbsp;Hongyun Lu","doi":"10.1016/j.jdiacomp.2025.109140","DOIUrl":"10.1016/j.jdiacomp.2025.109140","url":null,"abstract":"<div><h3>Aims</h3><div>Effective glycemic control is essential for preventing complications and improving quality of life in patients with type 2 diabetes mellitus (T2DM). Identifying reliable glycemic indicators for the assessment of islet function and renal complications remains a major challenge in diabetology. Time in Range (TIR) and Glycemia Risk Index (GRI), two continuous glucose monitoring (CGM)-based metrics, have recently emerged as potential tools for assessing glycemic control beyond HbA1c. This study aims to assess the predictive value of TIR and GRI for islet function impairment and diabetic kidney disease (DKD) in patients with T2DM.</div></div><div><h3>Methods</h3><div>A retrospective analysis of a total of 422 patients with T2DM was performed, who were admitted to Zhuhai People's Hospital between January 2021 and December 2022. Continuous glucose monitoring (CGM) data were collected to get TIR and GRI. Additionally, the C-peptide release, random urine biochemistry analysis, and C-reactive protein (CRP) were obtained to calculate HOMA-IR, HOMA-β, ISIstumvoll index, Stumvoll 1-phase and 2-phase index, and insulin resistance. The Urinary Albumin/Creatinine Ratio (UACR) was ascertained as a diagnostic marker of DKD.</div></div><div><h3>Results</h3><div>TIR and GRI demonstrated significant correlations with HOMA-IR, HOMA-β, and UACR; however, CRP exhibited a limited correlation with HOMA-IR and UACR. After adjustment for potential confounding factors, the odds ratios (ORs) for pancreatic β-cell function were: TIR 0.174 (95 % CI 0.051–0.592), GRI 1.010 (95 % CI 1.001–1.020). For DKD: TIR 0.182 (95 % CI 0.052–0.639), GRI 1.017 (95 % CI 1.007–1.027). TIR levels of 71 %–85 % and 41 %–70 % were associated with a 4.763-fold and 5.079-fold higher risk of insulin resistance, respectively, compared with TIR &gt; 85 %. Similarly, GRI levels of 21–30, 31–45, and 46–100 were associated with 2.553-fold, 2.597-fold, and 3.394-fold increases in insulin resistance risk compared with GRI ≤20. Despite excluding CRP, TIR and GRI differences in DKD and islet function were significant (<em>P</em> &lt; 0.05). In the regression analysis of DKD and islet function, excluding the CRP, TIR and GRI groups, the differences remained statistically significant (<em>P</em> &lt; 0.05).</div></div><div><h3>Conclusion</h3><div>TIR was identified as a protective factor for pancreatic β-cell function, while GRI was associated with an increased risk of dysfunction. Furthermore, longer disease duration, higher HbA1c, elevated BMI, high GRI, and low TIR were associated with increased insulin resistance. A higher GRI and lower TIR also contributed to an elevated risk of DKD.</div></div>","PeriodicalId":15659,"journal":{"name":"Journal of diabetes and its complications","volume":"39 10","pages":"Article 109140"},"PeriodicalIF":3.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144722922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of IDx-DR software for diabetic retinopathy screening in outpatient clinics: Efficacy, safety, and feasibility in a real-world setting","authors":"Simone Leonora Huber ,&nbsp;Verena Parzer ,&nbsp;Bernhard Ludvik ,&nbsp;Andreas Pollreisz ,&nbsp;Nikolaus Mahnert ,&nbsp;Johanna Maria Brix","doi":"10.1016/j.jdiacomp.2025.109120","DOIUrl":"10.1016/j.jdiacomp.2025.109120","url":null,"abstract":"<div><h3>Aims</h3><div>This study assessed the IDx-DR software's effectiveness as a diabetic retinopathy (DR) screening tool in a routine outpatient setting. It also evaluated the software's safety and feasibility.</div></div><div><h3>Methods</h3><div>RA prospectively planned analysis of patients with diabetes was conducted at the diabetes outpatient clinic of a specialized tertiary care center from March 2021 to October 2022. These patients underwent retinal imaging with IDx-DR during routine visits.</div></div><div><h3>Results</h3><div>The majority of the 996 included patients were female (53.1 %), and the median age was 61.1 years. Notably, 40.2 % had a BMI ≥ 30 kg/m², and 35.8 % were active smokers. DR was detected by IDx-DR in n = 178 (26 %) of patients. 73.1 % of those patients were newly diagnosed with retinopathy without any history of retinopathy in the medical history (p &lt; 0.001). DR patients were older (median 60.4 vs 57.5 years; p = 0.050), had higher HbA1c levels (7.0 % vs. 7.6 %; p &lt; 0.001) and a higher frequency of ophthalmologic check-ups (p = 0.015). In multiple binary logistic regression, use of insulin (OR = 1.735 [1.096; 2.748], p = 0.19) and diabetes duration (medium vs. short: OR = 2.356 [1.36; 4.07], p = 0.002, long vs. short: OR = 1.776 [1.03; 3.06], p = 0.39) independently predicted DR, while age and sex were not significant predictors.</div></div><div><h3>Conclusions</h3><div>This study supports integrating AI tools like IDx-DR in DR screening. It highlights IDx-DR's utility and efficacy in improving DR detection and patient care, suggesting its potential for broader, cost-effective screening in Austria and possibly elsewhere.</div></div>","PeriodicalId":15659,"journal":{"name":"Journal of diabetes and its complications","volume":"39 10","pages":"Article 109120"},"PeriodicalIF":2.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144579475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical outcomes of and risk factors for normoalbuminuric diabetic kidney disease","authors":"Jeeyoung Kim ,&nbsp;Sohyun Bae ,&nbsp;Donghwan Yun ,&nbsp;Sehoon Park ,&nbsp;Yong Chul Kim ,&nbsp;Dong Ki Kim ,&nbsp;Kook-Hwan Oh ,&nbsp;Kwon Wook Joo ,&nbsp;Yon Su Kim ,&nbsp;Seung Seok Han","doi":"10.1016/j.jdiacomp.2025.109154","DOIUrl":"10.1016/j.jdiacomp.2025.109154","url":null,"abstract":"<div><h3>Background</h3><div>Albuminuria is a key prognostic marker of diabetic kidney disease (DKD), but some patients experience disease progression without developing albuminuria, a condition referred to as normoalbuminuric DKD. This study aimed to evaluate the prognosis of normoalbuminuric DKD and identify factors associated with progression.</div></div><div><h3>Methods</h3><div>A total of 24,558 patients with type 2 diabetes and no baseline albuminuria were enrolled. Kidney function and albuminuria were monitored. Patients were classified into two groups: the normoalbuminuria group (no albuminuria until estimated glomerular filtration rate [eGFR] declined to 30 mL/min/1.73 m²) and the incident albuminuria group (albuminuria developed before eGFR declined below 30). Kidney disease progression, defined as &gt;50 % eGFR decline or end-stage kidney disease, was compared after propensity score matching.</div></div><div><h3>Results</h3><div>After matching, 6575 patients included per group. Median follow-up was 139 months (interquartile range, 72–204; maximum, 21 years). The incident albuminuria group had a higher risk of progression (adjusted hazard ratio, 2.39 [2.05–2.79]). Among normoalbuminuric patients, older age, poor glycemic control, cardiovascular comorbidities, and diuretic use were linked to higher risk, while metformin, statins were protective.</div></div><div><h3>Conclusions</h3><div>Although normoalbuminuria generally indicates favorable prognosis, some patients remain at risk and require close monitoring and individualized care.</div></div>","PeriodicalId":15659,"journal":{"name":"Journal of diabetes and its complications","volume":"39 10","pages":"Article 109154"},"PeriodicalIF":3.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144889374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of artificial intelligence in diabetic retinopathy screening in type 1 diabetes: A systematic review","authors":"Francesco Sacchini ,&nbsp;Stefano Mancin ,&nbsp;Giovanni Cangelosi ,&nbsp;Sara Morales Palomares ,&nbsp;Gabriele Caggianelli ,&nbsp;Francesco Gravante ,&nbsp;Fabio Petrelli","doi":"10.1016/j.jdiacomp.2025.109139","DOIUrl":"10.1016/j.jdiacomp.2025.109139","url":null,"abstract":"<div><h3>Background/objectives</h3><div>Diabetic retinopathy (DR) is one of the leading causes of blindness in adults worldwide and represents a critical complication in both type 1 (T1D) and type 2 (T2D) diabetes. Artificial Intelligence (AI) offers a promising opportunity to enhance both the accuracy of screening and the efficiency of ongoing care management, assisting healthcare providers in mitigating the incidence and complications of DR.</div></div><div><h3>Methods</h3><div>Systematic review of the literature was conducted following PRISMA guidelines. Searches were performed using PubMed-Medline, Scopus, and Embase databases, with the protocol registered on the Open Science Framework (OSF) database: (<span><span>doi.org/10.17605/OSF.IO/TJ9UH</span><svg><path></path></svg></span>). A predefined search strategy utilizing Boolean operators was applied, and two researchers independently selected articles, with a third resolving any discrepancies.</div></div><div><h3>Results</h3><div>Of the 2127 articles identified, 8 studies were included. The results highlighted that AI is particularly effective in enhancing the DR screening process in patients with T1D, offering rapid and reliable analysis. Healthcare providers reported positive feedback, noting its significant contribution to improving patient management.</div></div><div><h3>Conclusions</h3><div>The integration of AI into DR care pathways shows substantial potential for improving early diagnosis and disease management, particularly for patients with T1D. Further research is required to optimize AI implementation and ensure its positive and sustainable impact on public health.</div></div>","PeriodicalId":15659,"journal":{"name":"Journal of diabetes and its complications","volume":"39 10","pages":"Article 109139"},"PeriodicalIF":3.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144773160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The prevalence and correlates of advanced fibrosis in patients with and without diabetes mellitus and metabolic dysfunction-associated steatotic liver disease: A cross-sectional study.","authors":"Emir Muzurović, Goran Topić, Nevena Todorović, Manfredi Rizzo, Ksenija Zečević","doi":"10.1016/j.jdiacomp.2025.109147","DOIUrl":"10.1016/j.jdiacomp.2025.109147","url":null,"abstract":"<p><strong>Background: </strong>The severity of liver fibrosis serves as a crucial prognostic indicator, reflecting liver-related and cardiovascular-related outcomes, as well as mortality in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Type 2 diabetes mellitus (T2DM) is a major risk factor for developing metabolic dysfunction-associated steatohepatitis (MASH), and in patients with both T2DM and MASH, identifying those with advanced fibrosis is critical.</p><p><strong>Methods: </strong>This cross-sectional study included 162 MASLD patients (47 with T2DM, 38 with prediabetes and 77 individuals without diabetes). The aim of this study was to determine the prevalence of advanced fibrosis in MASLD patients with and without DM and prediabetes, using a 2-step approach with fibrosis-4 index followed by liver stiffness measurement (LSM) by vibration-controlled transient elastography (VCTE), and to evaluate the predictive cardiometabolic risk factors for the development of advanced fibrosis in these patients.</p><p><strong>Results: </strong>Among patients with prediabetes and T2DM, 12.9 % were identified with F3 stage fibrosis, 6.5 % had F4 stage, totaling 19.4 % with advanced fibrosis or cirrhosis, assessed by VCTE. In contrast, among individuals without diabetes, 1.78 % was found to have F3 stage fibrosis, while 7.14 % had F4. In patients with T2DM or prediabetes, body mass index (BMI) was a significant predictor of advanced fibrosis (p = 0.02), with each unit increase in BMI linked to a 1.3-fold higher risk of advanced fibrosis and cirrhosis, and higher high-density lipoprotein cholesterol (HDL-C) levels were associated with lower odds of having F3 or F4 stage fibrosis (p = 0.04). In MASLD patients without diabetes, triglycerides (TGs) showed a significant positive correlation with liver stiffness (p = 0.04), male sex was significantly associated with a higher susceptibility to increased liver stiffness (p = 0.04), and males had 0.91 times the odds of developing advanced fibrosis and cirrhosis (p = 0.02). No significant correlations were observed between liver stiffness and age, sex, aspartate aminotransferase (AST), alanine aminotransferase (ALT), glucose levels, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), or TGs in patients with T2DM or prediabetes. In MASLD patients without diabetes, no significant correlations were found between liver stiffness and factors such as age, BMI, AST, ALT, TC, LDL-C, HDL-C, or glucose levels.</p><p><strong>Conclusion: </strong>In conclusion, the prevalence of advanced fibrosis or cirrhosis in patients with both, MASLD and T2DM, is very high. In MASLD patients with T2DM or prediabetes, higher BMI and lower levels of HDL-C are significant predictors of advanced fibrosis or cirrhosis.</p>","PeriodicalId":15659,"journal":{"name":"Journal of diabetes and its complications","volume":"39 10","pages":"109147"},"PeriodicalIF":3.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144812076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Response to letter to the editor regarding “High rate of complications in a real-world cohort of youth with T2D: A multicenter analysis”","authors":"Risa M. Wolf ,&nbsp;Roomasa Channa ,&nbsp;Amy S. Shah","doi":"10.1016/j.jdiacomp.2025.109138","DOIUrl":"10.1016/j.jdiacomp.2025.109138","url":null,"abstract":"","PeriodicalId":15659,"journal":{"name":"Journal of diabetes and its complications","volume":"39 10","pages":"Article 109138"},"PeriodicalIF":3.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144731585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}