Diabetes Trial Research Articles

Teleconsultation on patients with type 2 diabetes in the Brazilian public health system: a randomised, pragmatic, open-label, phase 2, non-inferiority trial (TELECONSULTA diabetes trial)

This study addresses the rising burden of type 2 diabetes mellitus, and explores the potential of teleconsultation, as an alternative for diabetes management. The primary objective was to test the hypothesis that teleconsultation is non-inferior to face-to-face consultation in terms of glycaemic control measured as glycated haemoglobin (HbA1c) (non-inferiority margin for the upper confidence interval for the difference between groups of 0,5% in HbA1c) for type 2 diabetes mellitus patients referred from Primary Healthcare to Specialized Care within the SUS. TELECONSULTA, is a randomized, pragmatic, phase 2, single-centre, open-label, non-inferiority trial conducted in Joinville, Brazil. A total of 278 participants diagnosed with type 2 diabetes were randomized through mandatory teleconsulting services from primary care health units. The randomization was 1:1 to teleconsultation or face to face consultation. The study was registered at the Brazilian Clinical Trial Register-REBEC, under the code RBR-8gpgyd. Study status is "Completed". This study included 278 participants in the intention-to-treat (ITT) analysis. The median age was 61 (54-68) years, 167 (60%) were women. The between-groups comparative average reduction in HbA1c was-0.6% (90% CI-1.0;-0.1) at 3-months and-0.5% (90% CI-0.9; 0.0) at 6-months in Modified Intention-to-Treat (mITT) population with imputed data, showing the non-inferiority of teleconsultation. Results with no missing data imputation and in the per protocol population were similar. The frequency of hypoglycaemia and other adverse events was well balanced between groups. The results underscore the transformative potential of telemedicine in addressing the complexities of diabetes management within the framework of a universal healthcare system, contributing with valuable insights for healthcare policymakers and practitioners seeking innovative solutions to tackle the growing diabetes epidemic. This study was funded by the Brazilian Ministry of Health, through the Unified Health System-Institutional Development Support Program (PROADI-SUS).

Real-world eligibility for GLP1-ra therapy in a cohort of heart failure patients

Abstract Background GLP1-ra have demonstrated substantial cardiovascular (CV) benefits in diabetic and, more recently, non-diabetic patients, however their use in heart failure (HF) patients is still limited. Purpose To evaluate real-word eligibility to GLP1-ra in a cohort of HF patients. Methods Demographic and clinical data from HF patients evaluated at a single center HF unit from August 1st 2021 to November 29th 2023 were automatically retrieved from the electronic health record (EHR). Patients were deemed eligible to GLP1-ra based on (1) absence of ongoing treatment with GLP1-ra and (2) either having type 2 diabetes mellitus (T2DM) or satisfying the inclusion criteria of the SELECT trial or those of the STEP-HFpEF trial, which were adapted according to the available information. A sensitivity analysis lowering the body mass-index cut-off to >= 27 kg/m2 also for the STEP-HFpEF trial was performed. Results 1754 patients with an established diagnosis of HF were included; median age was 78.3 (IQR 70.7-83.8) years and 697 patients were female (39.7%). 6 patients had type 1 diabetes mellitus. Among the remaining 1749 patients, 633 (36.2%) patients had T2DM and 14 were already treated with GLP1-ra. Among 1116 patients without diabetes, 302 (27.1%) were eligible to receive GLP1-ra according to the inclusion criteria of the SELECT or STEP-HFpEF trials. 226 (20.2%) satisfied the SELECT trial inclusion criteria and among them 100 (44.8%) had HF with reduced ejection fraction, whereas 136 patients (12.2%) were eligible to receive GLP1-ra according to the STEP-HFpEF trial. Changing the BMI cut-off to >= 27 kg/mq, as in the SELECT trial, 219 patients (19.6%) according to the STEP-HFpEF inclusion criteria and 344 (30.8%) overall were found to be eligible for GLP1-ra therapy. Conclusion Real-word eligibility to GLP1-ra may reach up to 55% of HF patients according to diabetes status or trial inclusion criteria.

A genome-wide association study identifies genetic determinants of hemoglobin glycation index with implications across sex and ethnicity

IntroductionWe investigated the genetic determinants of variation in the hemoglobin glycation index (HGI), an emerging biomarker for the risk of diabetes complications.MethodsWe conducted a genome-wide association study (GWAS) for HGI in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial (N = 7,913) using linear regression and additive genotype encoding on variants with minor allele frequency greater than 3%. We conducted replication analyses of top findings in the Atherosclerosis Risk in Communities (ARIC) study with inverse variance-weighted meta-analysis. We followed up with stratified GWAS analyses by sex and self-reported race.ResultsIn ACCORD, we identified single nucleotide polymorphisms (SNPs) associated with HGI, including a peak with the strongest association at the intergenic SNP rs73407935 (7q11.22) (P = 5.8e−10) with a local replication in ARIC. In black individuals, the variant rs10739419 on chromosome 9 in the Whirlin (WHRN) gene formally replicated (meta-P = 2.2e−9). The SNP-based heritability of HGI was 0.39 (P< 1e−10). HGI had significant sex-specific associations with SNPs in or near GALNT11 in women and HECW2 in men. Finally, in Hispanic participants, we observed genome-wide significant associations with variants near USF1 and NXNL2/SPIN1.DiscussionMany HGI-associated SNPs were distinct from those associated with fasting plasma glucose or HbA1c, lending further support for HGI as a distinct biomarker of diabetes complications. The results of this first evaluation of the genetic etiology of HGI indicate that it is highly heritable and point to heterogeneity by sex and race.

Association between body fat variation rate and risk of diabetic nephropathy - a posthoc analysis based on ACCORD database

BackgroundWeight control has consistently been regarded as a significant preventive measure against diabetic nephropathy. however, the potential impact of substantial fluctuations in body fat during this process on the risk of diabetic nephropathy remains uncertain. This study aimed to investigate the association between body fat variation rate and diabetic nephropathy incident in American patients with type 2 diabetes.MethodsThe study used data from the Action to Control Cardiovascular Risk in diabetes (ACCORD) trial to calculate body fat variation rates over two years and divided participants into Low and High groups. The hazard ratio and 95% confidence interval were estimated using a Cox proportional hazards model, and confounding variables were addressed using propensity score matching.ResultsFour thousand six hundred nine participants with type 2 diabetes were studied, with 1,511 cases of diabetic nephropathy observed over 5 years. High body fat variation rate was linked to a higher risk of diabetic nephropathy compared to low body fat variation rate (HR 1.13, 95% CI 1.01–1.26). Statistically significant interaction was observed between body fat variation rate and BMI (P interaction = 0.008), and high level of body fat variation rate was only associated with increased risk of diabetic nephropathy in participants with BMI > 30 (HR 1.34 and 95% CI 1.08–1.66).ConclusionsAmong participants with Type 2 Diabetes Mellitus, body fat variation rate was associated with increased risk of diabetic nephropathy. Furthermore, the association was modified by BMI, and positive association was demonstrated in obese but not non-obese individuals. Consequently, for obese patients with diabetes, a more gradual weight loss strategy is recommended to prevent drastic fluctuations in body fat.Trial registrationClinical Trials. gov, no. NCT000000620 (Registration Date 199909).Graphical

Modeling Diversity in Diabetic Kidney Disease Clinical Trials Using Real-World Data

Modeling Diversity in Diabetic Kidney Disease Clinical Trials Using Real-World Data

Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced dataset

Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable risk of long-term death, especially among the elderly, demanding urgent medical attention. Accurate prediction of SH remains challenging due to its multifaced nature, contributed from factors such as medications, lifestyle choices, and metabolic measurements. In this study, we propose a systematic approach to improve the robustness and accuracy of SH predictions using machine learning models, guided by clinical feature selection. Our focus is on developing long-term SH prediction models using both semi-supervised learning and supervised learning algorithms. Using the action to control cardiovascular risk in diabetes trial, which includes electronic health records for over 10,000 individuals, we focus on studying adults with T2DM. Our results indicate that the application of a multi-view co-training method, incorporating the random forest algorithm, improves the specificity of SH prediction, while the same setup with Naive Bayes replacing random forest demonstrates better sensitivity. Our framework also provides interpretability of machine learning models by identifying key predictors for hypoglycemia, including fasting plasma glucose, hemoglobin A1c, general diabetes education, and NPH or L insulins. The integration of data routinely available in electronic health records significantly enhances our model’s capability to predict SH events, showcasing its potential to transform clinical practice by facilitating early interventions and optimizing patient management. By enhancing prediction accuracy and identifying crucial predictive features, our study contributes to advancing the understanding and management of hypoglycemia in this population.

Long-Term Effects of Low-Dose Aspirin on Gastrointestinal Symptoms and Bleeding Complications in Patients with Type 2 Diabetes.

Low-dose aspirin for primary prevention is determined by the balance of risks of cardiovascular events and adverse effects. We assessed the long-term gastrointestinal symptoms or bleeding with low-dose aspirin in diabetic patients. The Japanese Primary Prevention of Atherosclerosis with Aspirin for Diabetes (JPAD) trial was a randomized clinical trial to evaluate the efficacy and safety of low-dose aspirin in patients with type 2 diabetes. As a posthoc analysis, we investigated the incidence of upper gastrointestinal symptoms or bleeding in aspirin (100 mg enteric-coated aspirin or 81 mg buffered aspirin daily) and no-aspirin groups within and beyond 3 years. Of 2535 patients (mean age 65 years, 55% male) followed for a median of 11.2 years, 1258 were included in the aspirin group (951 enteric-coated, 208 buffered, 99 unknown) and 1277 were included in the no-aspirin group. The cumulative incidence of upper gastrointestinal symptoms or bleeding was higher in the aspirin group than the no-aspirin group (8.8% vs. 5.7% at 18 years; p<0.0001). The increased risk in the aspirin group was prominent within 3 years, and thehazard ratio (HR) [95% confidence interval (CI)] of the aspirin group was 7.10 [3.21-15.7], but attenuated beyond 3years (HR 1.20 [0.76-1.89]). In 1159 patients in the aspirin group, the cumulative incidence was lower in the enteric-coated than in the buffered aspirin groups (2.9% vs. 7.3%; p=0.003) within 3 years, and the adjusted HR of enteric-coated aspirin was 0.38 [0.20-0.72] compared with the buffered aspirin group. The upper gastrointestinal symptoms or bleeding of low-dose aspirin within 3 years, and the aspirin formulations, were relevant for decision making of initiation and continuation of low-dose aspirin for primary prevention.

Testosterone and the prevention of type 2 diabetes mellitus: therapeutic implications from recent trials.

Type 2 diabetes (T2D) is increasing to epidemic proportions and frequently associated with obesity and a low serum testosterone concentration in men. This review valuates recent randomized controlled trials (RCTs) investigating the effect of testosterone treatment on glycemic control and T2D prevention. The 2-year Testosterone for the Prevention of Type 2 diabetes Trial (T4DM) study showed that in men aged 50 years and over with visceral obesity and impaired glucose tolerance, testosterone treatment on the background of a lifestyle intervention reduced T2D risk by 40%. The Testosterone Effects on Atherosclerosis Progression in Aging Men and Testosterone Trials demonstrated modest improvements in insulin sensitivity and body composition. However, the Testosterone Replacement Therapy for Assessment of Long-Term Vascular Events and Efficacy Response in Hypogonadal Men trial found no significant glycemic benefits over 2 years. Recent data from the Diabetes Prevention Program Outcome Study support the cost efficacy and durability of metformin. In men at high risk of T2D, treatment with testosterone prevents the disease; however, there are caveats to its use and other approaches may be more applicable. Differences in trial designs, age groups, and outcome measures contribute to varying results. HbA1C is a suboptimal outcome measure. Future research should explore potential synergies between testosterone and GLP-1 receptor agonists in T2D management, while considering cost-effectiveness.

Novel artificial intelligence for diabetic retinopathy and diabetic macular edema: what is new in 2024?

Given the increasing global burden of diabetic retinopathy and the rapid advancements in artificial intelligence, this review aims to summarize the current state of artificial intelligence technology in diabetic retinopathy detection and management, assessing its potential to improve care and visual outcomes in real-world settings. Most recent studies focused on the integration of artificial intelligence in the field of diabetic retinopathy screening, focusing on real-world efficacy and clinical implementation of such artificial intelligence models. Additionally, artificial intelligence holds the potential to predict diabetic retinopathy progression, enhance personalized treatment strategies, and identify systemic disease biomarkers from ocular images through 'oculomics', moving towards a more precise, efficient, and accessible care. The emergence of foundation model architectures and generative artificial intelligence, which more clearly reflect the clinical care process, may enable rapid advances in diabetic retinopathy care, research and medical education. This review explores the emerging technology of artificial intelligence to assess the potential to improve patient outcomes and optimize personalized management in healthcare delivery and medical research. While artificial intelligence is expected to play an increasingly important role in diabetic retinopathy care, ongoing research and clinical trials are essential to address implementation issues and focus on long-term patient outcomes for successful real-world adoption of artificial intelligence in diabetic retinopathy.

The use of composite endpoints in cardiovascular outcome trials for diabetes: A review of 22 randomized clinical trials published since 2008.

To describe the use of composite endpoints (CEs) in cardiovascular outcome trials (CVOTs) of type 2 diabetes and to evaluate the significance of the individual outcomes included within these CEs from the perspectives of both patients and clinicians. Secondary objectives were to estimate the gradient of treatment effects and events across outcomes. Eligible studies were randomized controlled trials assessing CV outcomes for patients with diabetes from 2008 and onwards. Trials were identified by searching the reports from the CVOT Summit of the Diabetes & CV Disease EASD (European Association for the Study of Diabetes) Study Group. The individual outcomes comprising the CE were compared for differences in importance for patients and clinicians, proportion of events, and effect size. We included 22 trials randomizing a mean of 8098 patients to an active intervention or a comparator group for an average of 33 months (standard deviation 16). All primary outcomes were CEs, and from a patient perspective there was no gradient of importance across outcomes in 22 of 22 (100%) CEs, while the gradient was small in 22 of 22 (100%) from a clinician perspective. The gradient of effect was moderate to large in 9 of 18 (50%) reporting studies, while assessment of events was available in 15 of 22 studies (68%), finding that three of 15 (20%) had a gradient of effect of more than 5% points between included outcomes. In 10 of 22 (45%) trial reports, the results were not clearly presented as based on a CE. To avoid misinterpretation, clinicians and regulatory authorities should be careful when interpreting the results of trials, of which the main outcomes are CEs.

Haptoglobin phenotype and levels in type 2 diabetes and effects of fenofibrate.

In diabetes haptoglobin (Hp) 2 vs Hp 1 allelic product is associated with cardiac and renal complications. Few studies report both Hp phenotype and Hp levels. In a Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) trial substudy we evaluated the Hp phenotype, Hp levels, and fenofibrate effects. In 480 adults with type 2 diabetes (T2D) the Hp phenotype was assessed and the Hp level quantified (both using ELISAs assays) in plasma from baseline, after 6 weeks of fenofibrate, and (in n = 200) at 2 years post-randomization to fenofibrate or placebo. The Hp phenotypes 1-1, 2-1, and 2-2 frequencies were 15%, 49%, and 36%, respectively. Baseline Hp levels differed by phenotype (P < 0.0001) and decreased (median 21%) after 6 weeks fenofibrate in all phenotypes (adjusted mean (95% CI): -0.27 (-0.32, -0.23) mg/mL in Hp 1-1, -0.29 (-0.31, -0.27) mg/mL in Hp 2-1 and -0.05 (-0.07, -0.02) mg/mL in Hp 2-2 (P = 0.005 and P = 0.055 vs Hp 1-1 and Hp 2-1, respectively)). At 2 years post-randomization the Hp levels in the placebo group had returned to baseline, whilst the fenofibrate-group levels remained similar to the 6 week levels. In type 2 diabetes, Hp levels differ by Hp phenotype and are decreased by fenofibrate in all phenotypes, but the effect is diminished in Hp 2-2.

The prognostic value of triglyceride-glucose index to adverse renal outcomes in patients with type 2 diabetes mellitus: results from the cohort study of ACCORD

BackgroundThe triglyceride-glucose (TyG) index is a new and good biomarker of insulin resistance (IR). The prognostic utility of the TyG index for patients with type 2 diabetes mellitus (T2DM) remains uncertain. Our study seeks to elucidate the connection between the TyG index and adverse renal outcomes within a T2DM population, while also examining if these relationships are influenced by subgroup variations.MethodsWe analyzed data from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial, involving 10,196 T2DM participants, to assess the link between triglyceride-glucose levels and adverse renal outcomes. This evaluation included Restricted Cubic Spline (RCS) analysis, Kaplan–Meier survival analysis, and Multivariate Cox proportional regression. Additionally, we examined the interaction between subgroups concerning adverse renal outcomes.ResultsDuring a 7-year follow-up, 5824 patients (57.1%) experienced worsening renal function, 2309 patients (23.2%) developed albuminuria, and 280 patients (2.7%) advanced to renal failure. After adjusting for a range of confounding variables, triglyceride-glucose levels were significantly linked to both worsening renal function (p < 0.001) and the onset of albuminuria (p = 0.020). Nonetheless, no significant association was observed between triglyceride-glucose levels and renal failure (p = 0.247). Furthermore, there was no significant subgroups interaction to the associations between TyG levels and adverse renal outcomes.ConclusionOur study underscores the significant relationship between the triglyceride-glucose index and the risk of adverse renal outcomes in patients with T2DM. The TyG index, as a readily calculable measure, offers clinicians a valuable tool for anticipating the risk of adverse renal outcomes in this patient population.

Pro- and anti-inflammatory cytokines are the game-changers in childhood obesity-associated metabolic disorders (diabetes and non-alcoholic fatty liver diseases).

Childhood obesity is a chronic inflammatory epidemic that affects children worldwide. Obesity affects approximately 1 in 5 children worldwide. Obesity in children can worsen weight gain and raise the risk of obesity-related comorbidities like diabetes and non-alcoholic fatty liver disease (NAFLD). It can also negatively impact the quality of life for these children. Obesity disrupts immune system function, influencing cytokine (interleukins) balance and expression levels, adipokines, and innate and adaptive immune cells. The altered expression of immune system mediators, including interleukin-1 (IL-1), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-17 (IL-17), interleukin-18 (IL-18), transforming growth factor (TGF), tumor necrosis factor (TNF), and others, caused inflammation, progression, and the development of pediatric obesity and linked illnesses such as diabetes and NAFLD. Furthermore, anti-inflammatory cytokines, including interleukin-2 (IL-2), have been shown to have anti-diabetes and IL-1 receptor antagonist (IL-1Ra) anti-diabetic and pro-NAFLFD properties, and interleukin-10 (IL-10) has been shown to have a dual role in managing diabetes and anti-NAFLD. In light of the substantial increase in childhood obesity-associated disorders such as diabetes and NAFLD and the absence of an effective pharmaceutical intervention to inhibit immune modulation factors, it is critical to consider the alteration of immune system components as a preventive and therapeutic approach. Thus, the current review focuses on the most recent information regarding the influence of pro- and anti-inflammatory cytokines (interleukins) and their molecular mechanisms on pediatric obesity-associated disorders (diabetes and NAFLD). Furthermore, we discussed the current therapeutic clinical trials in childhood obesity-associated diseases, diabetes, and NAFLD.

Enrollment of Black, Indigenous and People of Color (BIPOC) and female participants in the US diabetes trials spanning 2000 to 2020: A chronological survey

AimsLittle is known about the enrollment practice of both Black, Indigenous and People of Color (BIPOC) and females in the US diabetes trials. We aimed to perform a chronological survey to evaluate the enrollment of BIPOC and female participants in the US diabetes randomized controlled trials (RCTs) over the past two decades. MethodsWe searched databases to systematically include the US diabetes RCTs from 2000 January 1st to 2020 December 31st. Primary outcome was the adequate enrollment of both BIPOC and females, defined by the participation to prevalence ratio (PPR) > 0.8. We tested the temporal trend in adequate enrollment over time and used logistic regression analysis to explore the relationship between adequate enrollment and trial characteristics. ResultsA total of 69 US diabetes trials were included for analyses, with a median BIPOC and female enrollment percentage of 29.0 % and 45.4 % respectively. There were 22 (31.9 %) trials with adequate enrollment of both BIPOC and females. No significant trend of adequate enrollment percentage of BIPOC and females over time was observed (P = 0.16). Of trial types, those with medication interventions were significantly related to decreased odds of adequate enrollment, when compared to trials with non-drug interventions (odds ratio = 0.29, 95 % confidence interval: 0.11–0.84). ConclusionsLess than one third of the US diabetes trials adequately enrolled both BIPOC and females over the past two decades, and no temporal improvement in BIPOC and female participant enrollment was observed. These results highlight the need for more endeavors to mitigate inadequate representation regarding BIPOC and female enrollment in diabetes trials.

Adaptive selection at G6PD and disparities in diabetes complications.

Diabetes complications occur at higher rates in individuals of African ancestry. Glucose-6-phosphate dehydrogenase deficiency (G6PDdef), common in some African populations, confers malaria resistance, and reduces hemoglobin A1c (HbA1c) levels by shortening erythrocyte lifespan. In a combined-ancestry genome-wide association study of diabetic retinopathy, we identified nine loci including a G6PDdef causal variant, rs1050828 -T (Val98Met), which was also associated with increased risk of other diabetes complications. The effect of rs1050828 -T on retinopathy was fully mediated by glucose levels. In the years preceding diabetes diagnosis and insulin prescription, glucose levels were significantly higher and HbA1c significantly lower in those with versus without G6PDdef. In the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial, participants with G6PDdef had significantly higher hazards of incident retinopathy and neuropathy. At the same HbA1c levels, G6PDdef participants in both ACCORD and the Million Veteran Program had significantly increased risk of retinopathy. We estimate that 12% and 9% of diabetic retinopathy and neuropathy cases, respectively, in participants of African ancestry are due to this exposure. Across continentally defined ancestral populations, the differences in frequency of rs1050828 -T and other G6PDdef alleles contribute to disparities in diabetes complications. Diabetes management guided by glucose or potentially genotype-adjusted HbA1c levels could lead to more timely diagnoses and appropriate intensification of therapy, decreasing the risk of diabetes complications in patients with G6PDdef alleles.

Polygenic subtype identified in ACCORD trial displays a favorable type 2 diabetes phenotype in the UKBiobank population

IntroductionWe previously identified a genetic subtype (C4) of type 2 diabetes (T2D), benefitting from intensive glycemia treatment in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial. Here, we characterized the population of patients that met the C4 criteria in the UKBiobank cohort.Research design and methodsUsing our polygenic score (PS), we identified C4 individuals in the UKBiobank and tested C4 status with risk of developing T2D, cardiovascular disease (CVD) outcomes, and differences in T2D medications.ResultsC4 individuals were less likely to develop T2D, were slightly older at T2D diagnosis, had lower HbA1c values, and were less likely to be prescribed T2D medications (P < .05). Genetic variants in MAS1 and IGF2R, major components of the C4 PS, were associated with fewer overall T2D prescriptions.ConclusionWe have confirmed C4 individuals are a lower risk subpopulation of patients with T2D.

A predictive model for medium-term weight loss response in people with type 2 diabetes engaging in behavioural weight management interventions.

To develop and evaluate prediction models for medium-term weight loss response in behavioural weight management programmes. We conducted three longitudinal analyses using the Action for HEalth in Diabetes (LookAHEAD) trial, Weight loss Referrals for Adults in Primary care (WRAP) trial, and routine data from the National Health Service Greater Glasgow and Clyde Weight Management Service (NHS-GGCWMS). We investigated predictors of medium-term weight loss (>5% body weight) over 3 years in NHS-GGCWMS and, separately, predictors of weight loss response in LookAHEAD over 4 years. We validated predictors in both studies using WRAP over 5 years. Predictors of interest included demographic and clinical variables, early weight change in-programme (first 4 weeks) and overall in-programme weight change. In LookAHEAD and WRAP the only baseline variables consistently associated with weight loss response were female sex and older age. Of 1152 participants in NHS-GGCWMS (mean age 57.8 years, 60% female, type 2 diabetes diagnosed for a median of 5.3 years), 139 lost weight over 3 years (12%). The strongest predictor of weight loss response was early weight change (odds ratio 2.22, 95% confidence interval 1.92-2.56) per 1% weight loss. Losing 0.5% weight in the first 4 weeks predicted medium-term weight loss (sensitivity 89.9%, specificity 49.5%, negative predictive value 97.3%). Overall in-programme weight change was also associated with weight loss response over 3 years in NHS-GGCWMS and over 5 years in WRAP. Not attaining a weight loss threshold of 0.5% early in weight management programmes may identify participants who would benefit from alternative interventions.

Person-reported outcomes in registered randomised diabetes trials: A mapping review of constructs.

Recently, efforts have been made to use and report person-reported outcomes (PROs) in randomised clinical trials (RCTs). Here, we aim to (1) assess the status of inclusion of PROs in registered RCTs over 5 years in people with type 1 or 2 diabetes, and (2) map the PRO measures (PROMs) onto predefined domains. The largest trial registries (Clinicatrials.gov, International Clinical Trial Platform and ISRCTN) were systematically searched for RCTs in people with type 1 and/or type 2 diabetes of all ages between 2018 and 2023. Coding of PROs comprised: (1) PRO measure(s) included yes or no; if yes: (2) PRO(s) as primary outcome yes or no; and (3) mapping PROMs onto predefined PRO domains and per type of intervention. N = 1543 trials met our inclusion criteria, of which n = 673 (44%) included PROs, assessed by 545 different measures. Twenty per cent of drug trials (n = 112) and 71% of behavioural interventions (n = 405) included PROs. In 149 trials (9.6%), a PRO was the primary outcome. The psychological functioning domain was most often assessed across all trials (21.6%), specifically in behavioural (44.8%) and medical device interventions (29.7%). In drug trials, the physical functioning and functional health domain was most included (9%). Across all trials, the social and family functioning domain was least assessed (3%). We noticed an increase in the inclusion of PROs in diabetes RCTs. However, PROs are rarely included as primary outcomes in the majority of studies, particularly in drug trials. The heterogeneity of PROMs used in RCTs underscores the need for standardisation of PROs.

INfluenza VaccInation To mitigate typE 1 Diabetes (INVITED): a study protocol for a randomised, double-blind, placebo-controlled clinical trial in children and adolescents with recent-onset type 1 diabetes

IntroductionChildren and adolescents with recent-onset type 1 diabetes (T1D) commonly maintain a certain level of insulin production during the remission phase, which can last months to years. Preserving β-cell function...

Survodutide, a promising agent with novel mechanism of action for treatment of obesity and type 2 diabetes

Activation of the glucagon-like peptide-1 receptor (GLP-1R) and glucagon receptor (GCGR) may result in synergistic effects on glycemic control and weight reduction. Survodutide is a dual agonist of GLP-1R and GCGR under development for treatment of type 2 diabetes, obesity and non-alcoholic steatohepatitis (NASH). In a phase 2 trial of 16-week duration including patients with type 2 diabetes, subcutaneous survodutide given once weekly reduced glycated hemoglobin (HbA1c) levels by 1.5% versus placebo, which was comparable to the reduction achieved by semaglutide (1.0 mg/w). In another phase 2 trial of obese subjects without diabetes, percent weight loss with the highest dose of survodutide was 12.1% versus placebo and did not reach a plateau up to the end of follow-up at 46 weeks. Use of survodutide was associated with significant reduction in systolic and diastolic blood pressure and plasma triglycerides. The most common adverse effects of survodutide were gastrointestinal (GI) disorders reported by 55% of patients (versus 22% with placebo) in the diabetes trial and by 75% (versus 42% with placebo) in the obesity trial. Drug discontinuation rates were 16-25% with survodutide, 4% with semaglutide and 4-5% with placebo. Results of a phase 2 trial including patients with NASH are pending. The major limitation of survodutide is suboptimal tolerability due to GI adverse effects attributed in part to rapid dose escalation. Overall, survodutide is a promising candidate drug with a novel mechanism of action for treatment of type 2 diabetes and obesity. Phase 3 clinical trials, with slower dose titration of survodutide should clarify its efficacy and safety in a broader population of patients with type 2 diabetes, obesity and NASH.