Organisational models supported by technology for the management of diabetic disease and its complications in a diabetic clinic setting: study protocol for a randomised controlled trial targeting type 2 diabetes individuals with non-ideal glycaemic values (Telemechron study).

INTRODUCTION: Type 2 diabetes mellitus (T2DM) is a non-communicable disease representing one of the most serious public health challenges of the twenty-first century. Its incidence continues to rise in both developed and developing countries, causing the death of 1.5 million people every year. The use of technology (e.g. smartphone application-App) in the health field has progressively increased as it has been proved to be effective in helping individuals manage their long-term diseases. Therefore, it has the potential to reduce the use of health service and its related costs. The objective of this study is to evaluate the impact of using a digital platform called "TreC Diabete" embedded into a novel organisational asset targeting poorly controlled T2DM individuals in the Autonomous Province of Trento (PAT), Italy. METHODS: This trial was designed as a multi-centre, open-label, randomised, superiority study with two parallel groups and a 1:1 allocation ratio. Individuals regularly attending outpatient diabetes clinics, providing informed consent, are randomised to be prescribed TreC Diabete platform as part of their personalised care plan. Healthcare staff members will remotely assess the data shared by the participants through the App by using a dedicated online medical dashboard. The primary end-point is the evaluation of the Hb1Ac level at 12-month post-randomisation. Data will be analysed on an intention-to-treat (ITT) basis. DISCUSSION: This trial is the first conducted in the PAT area for the use of an App specifically designed for individuals with poorly controlled T2DM. If the effects of introducing this specific App within a new organisational asset are positive, the digital platform will represent a possible way for people diagnosed with T2DM to better manage their health in the future. Results will be disseminated through conferences and peer-reviewed journals once the study is completed. TRIAL REGISTRATION: ClinicalTrials.gov NCT05629221. Registered on November 29, 2022, prior start of inclusion.

Rheumatic immune-and nonimmune-related adverse events in phase 3 clinical trials assessing PD-(L)1 checkpoint inhibitors for lung cancer: A systematic review and meta-analysis.

OBJECTIVES: We aimed to analyze rheumatic immune-related (ir) and nonimmune-related adverse events (AEs) due to immune-checkpoint inhibitors (ICIs) targeting programmed cell death-1 or its ligand PD-(L)1 in lung cancer patients from the available literature. METHODS: We performed a systematic review and meta-analysis of phase III randomized clinical trials (RCTs) assessing PD-(L)1-ICIs in lung cancer patients, from inception until January 12th, 2021. We extracted data of each trial to estimate odds ratio (OR) for rheumatic ir or non-irAE as classified in RCTs safety data. Sensitivity analyses (by ICI, treatment group and histology) were performed. RESULTS: Eighteen RCTs met the inclusion criteria (n=12172 subjects). The OR [95%IC] for rheumatic irAE in ICIs versus controls (either placebo or chemotherapy) was 2.20 [0.85,5.72]. Among rheumatic non-irAEs, both overall and severe (grade≥3) back pain were significantly more frequent in ICIs versus controls, 2.01 [1.09;3.73] and 2.90 [1.18;7.08], respectively. The overall frequency of arthralgia was similar between ICIs and controls; by sensitivity analysis RCTs assessing ICIs in combination with chemotherapy showed a significant association with arthralgia (1.55 [1.15;2.10]). Similarly, the frequency of myalgia was significantly lower in RCTs assessing ICIs alone versus chemotherapy (OR 0.32 [0.24;0.42]). Muscular pain was not significantly increased with ICI. CONCLUSION: Rheumatic irAEs are not increased in RCTs assessing PD-(L)1 inhibitors, not reflecting the real-life incidence, therefore likely underreported or misclassified. Back pain is significantly associated with them regardless its severity, while arthralgia only when ICIs are added on conventional chemotherapy.

Meta-analysis of immune-related adverse events in phase 3 clinical trials assessing immune checkpoint inhibitors for lung cancer.

INTRODUCTION: The introduction in clinical practice of the immune checkpoint inhibitors (ICIs) radically changed the treatment algorithm of lung cancers. To characterize the toxicity of ICIs (atezolizumab, durvalumab, nivolumab, pembrolizumab) is important for personalizing treatment. PATIENTS AND METHODS: We performed a systematic review and meta-analysis of phase III randomized controlled trials assessing ICIs, from inception until April 23rd, 2020. We extracted the data from the ICI arm of each trial for indirect comparisons to estimate relative risk for immune-related adverse events (irAEs), severe (grade ≥3) irAEs, drug discontinuation due to irAEs or toxic death. RESULTS: Sixteen trials included a total of 6226 subjects randomized to the experimental immunotherapy arm. Immunotherapy was administered in monotherapy (8 trials), in combination with chemotherapy (6 trials) or other ICI (2 trials). Any grade irAEs and severe irAEs for ICI were 37.1% and 18.5%, respectively. Discontinuations due to any grade irAEs and severe irAEs were 13.8% and 9.2%, respectively; toxic deaths were 2.9% in the immunotherapy arm. Pooled data on any, severe and organ-specific irAEs showed that immunotherapy has a significantly lower risk of irAEs compared to immuno-chemotherapy, especially when analysis was restricted to monoimmunotherapy, like drug discontinuation and toxic death (all p < 0.05). Detailed comparisons between different ICIs provided treatment-related risk profiles for organ-specific irAEs. CONCLUSIONS: Our findings contribute to clarifying frequency and features of immune-related toxicities between different ICIs in lung cancer patients, including any grade irAEs, severe irAEs, drug discontinuation and toxic deaths, and may be useful to inform the selection of treatment.

A stepwise approach to assess the impact of clustering cardiometabolic risk factors on carotid intima-media thickness: the metabolic syndrome no-more-than-additive.

BACKGROUND: Cardiovascular risk factors cluster in the metabolic syndrome (MS), but it is not known whether the risk associated with the syndrome is higher than the sum of its parts. In this study, we explored the relationship between clustering cardiometabolic risk factors and carotid intima-media thickness (c-IMT). METHODS AND RESULTS: Cardiovascular parameters and c-IMT were determined in 240 middle-aged healthy participants, divided into groups according to their number of MS components. Higher number of MS components were associated with higher mean c-IMT. Analysis of synergy revealed that c-IMT increase at component clustering fitted an additive model. Redefinition of cutpoints for MS traits, optimized to detect high c-IMT, did not improve the interaction between components. When metabolic factors were rendered independent, a synergistic interaction between factors in increasing the likelihood of having a high c-IMT was detected. Synergic as well was the interaction between metabolic factors with other risk factors that are not consequence of insulin resistance, such as low-density lipoprotein-cholesterol level and smoking habit. CONCLUSION: A stepwise approach reveals that the lack of synergy in the interactions between MS components is attributable to their mutual interdependence, possibly owing to the common pathophysiological background. Indeed, if MS is a unique clinical entity, it should be no more than the sum of its parts.