An interventional study of Open-Source Automated Insulin Delivery (OS-AID) and Commercial Automated Insulin Delivery (C-AID) in Type 1 Diabetes (T1D), sponsored by Institut de Recherches Cliniques de Montreal. Not yet recruiting at 1 site in Canada. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-08-11.
Sponsored by Institut de Recherches Cliniques de Montreal · Not applicable, Interventional, and Treatment
Automated insulin delivery (AID) systems are the current gold standard for the management of type 1 diabetes (T1D), improving glycemic control, reducing hypoglycemia, and decreasing treatment burden. Although both commercial AID (C-AID) and open-source AID (OS-AID) systems have demonstrated significant clinical benefits, direct randomized comparisons between these systems remain scarce. Moreover, an important limitation of currently available AID systems is their reliance on user-initiated meal announcements and carbohydrate counting, which remain major contributors to postprandial dysglycemia and treatment burden. While emerging evidence suggests that AID systems may partially compensate for missed meal announcements, their comparative performance under these challenging real-world conditions is unknown.
The NOMAD study is an international, multicenter, open-label, randomized, non-inferiority crossover trial designed to compare an open-source AID system with commercially available AID systems (including Tandem Control-IQ and Omnipod 5) in adults with type 1 diabetes currently using an open-source AID system. The study specifically evaluates glycemic outcomes following standardized unannounced meal challenges performed under free-living conditions.
A total of 33 participants will be enrolled and complete two 4-week intervention periods, each consisting of a 2-week run-in phase followed by a 2-week data collection phase, with crossover between treatment arms. Participants will continue using their own Dexcom G6 or Dexcom G7 continuous glucose monitoring system throughout the study.
The primary outcome is the percentage of time spent in the target glucose range (3.9-10.0 mmol/L) during the 4 hours following standardized unannounced meal challenges. Secondary outcomes include additional CGM metrics (time above and below range, glucose variability, mean glucose, and GMI), insulin delivery characteristics, and patient-reported outcomes evaluating treatment satisfaction, usability, and diabetes-related burden.
AID systems have become the preferred treatment for T1D, improving glycemic control, reducing hypoglycemia, and decreasing treatment burden compared with conventional insulin therapy. Both C-AID and OS-AID systems have demonstrated substantial clinical benefits, including increased time in range and improved patient-reported outcomes. However, despite their growing adoption, few randomized controlled trials have directly compared these systems under standardized conditions.
One of the major remaining challenges for current AID systems is the management of meals. Most commercially available systems are hybrid closed-loop systems that require users to announce meals and estimate carbohydrate intake before eating. Inaccurate carbohydrate estimation, delayed boluses, or missed meal announcements are common in daily life and contribute substantially to postprandial hyperglycemia and overall treatment burden. Although AID algorithms can partially compensate for these situations through automated insulin adjustments, their effectiveness varies between systems and has not been directly compared under real-world conditions.
This study aims to compare the performance of open-source and commercial AID systems during standardized unannounced meal challenges performed under free-living conditions. Adults with T1D who are experienced users of an OS-AID system will participate in a randomized, open-label, crossover trial in which they will use both their usual OS-AID system and a commercially available AID system. Throughout the study, participants will use the same Dexcom continuous glucose monitoring system to ensure consistent glucose assessment across study periods.
The primary objective is to determine whether OS-AID is non-inferior to commercial AID for maintaining postprandial glucose control following unannounced meals, as measured by the percentage of time spent in the target glucose range during the 4 hours after meal initiation. Secondary objectives include comparing overall glycemic outcomes, glucose variability, insulin delivery characteristics, and patient-reported outcomes related to treatment satisfaction, diabetes burden, and usability. The study will also explore differences in insulin dosing behavior, including user-initiated boluses, between the two AID approaches.
By evaluating glycemic performance in a common real-world scenario where meal announcements are omitted, this study will provide evidence regarding the comparative effectiveness, safety, and user experience of open-source and commercial AID systems. The findings are expected to inform clinical decision-making, support individualized selection of AID systems, and contribute to the development of future automated insulin delivery technologies that further reduce the burden of diabetes self-management.
3,754 studies on the registry are indexed under Diabetes Mellitus, Type 1; 600 are open to participants now.
This study's planned enrollment of 33 is below the median of 40 across 2,820 interventional studies indexed under Diabetes Mellitus, Type 1.
Browse Diabetes Mellitus, Type 1 studies →Institut de Recherches Cliniques de Montreal is the lead sponsor of 61 studies on the registry; 11 are open to participants now.
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Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Judged by the study doctor to matter for your health or for the study. It is a doctor’s decision, so ask the study team if you are unsure whether something counts.
GFR (glomerular filtration rate) is how much blood the kidneys filter each minute. It is usually estimated from a blood test — eGFR, by formulas such as CKD-EPI or MDRD — and some studies ask for it to be measured directly instead. Usually given in mL/min/1.73 m².
Check the method, the units and the minimum the study states. A value of 90 or above is in the normal-or-high range, but kidney damage can show in other tests too.
Anti-inflammatory medicines such as prednisone, prednisolone and dexamethasone — not the anabolic steroids used for muscle.
Studies differ in what they allow: check which steroid medicines, routes (tablets, injections, creams, inhalers, eye drops) and doses this study accepts.
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
Clinically significant
Judged by the study doctor to matter for your health or for the study. It is a doctor’s decision, so ask the study team if you are unsure whether something counts.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
GFR and eGFR (kidney filtering)
GFR (glomerular filtration rate) is how much blood the kidneys filter each minute. It is usually estimated from a blood test — eGFR, by formulas such as CKD-EPI or MDRD — and some studies ask for it to be measured directly instead. Usually given in mL/min/1.73 m².
Check the method, the units and the minimum the study states. A value of 90 or above is in the normal-or-high range, but kidney damage can show in other tests too.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Corticosteroids (steroids)
Anti-inflammatory medicines such as prednisone, prednisolone and dexamethasone — not the anabolic steroids used for muscle.
Studies differ in what they allow: check which steroid medicines, routes (tablets, injections, creams, inhalers, eye drops) and doses this study accepts.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Contraindication
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Participants will use their own OS-AID system, including Loop, AndroidAPS, or OpenAPS, together with their usual compatible insulin pump and a Dexcom G6 or Dexcom G7 continuous glucose monitoring (CGM) system. During the data collection phase, participants will complete two standardized unannounced meal challenges under free-living conditions. CGM and insulin pump data will be collected throughout the intervention period.
Device: Open-Source Automated Insulin Delivery (OS-AID)
Participants will use a C-AID system compatible with Dexcom CGM, including Tandem t X2 with Control-IQ or Omnipod 5, depending on their device and study allocation. Participants will receive study-provided equipment and training. During the data collection phase, participants will complete two standardized unannounced meal challenges under free-living conditions. CGM and insulin pump data will be collected throughout the intervention period.
Device: Commercial Automated Insulin Delivery (C-AID)
Participants will use their own OS-AID system, including Loop, AndroidAPS, or OpenAPS, in combination with a compatible insulin pump and Dexcom G6 or Dexcom G7 continuous glucose monitoring (CGM). These systems use open-source algorithms to automatically adjust insulin delivery based on real-time CGM data through adaptive basal insulin modulation and, depending on the platform, automated correction boluses. Participants will continue using their established OS-AID settings throughout the intervention period without software updates and will be asked to perform two unannounced meal-challenges.
Participants will use a commercially available hybrid closed-loop AID system compatible with Dexcom G6 or Dexcom G7 CGM. Depending on study allocation and participants' usual device, the commercial system will include Tandem t X2 with Control-IQ technology or Omnipod 5. Participants not already using a compatible commercial AID system will receive study equipment and standardized training before initiating the intervention. Commercial AID systems automatically adjust insulin delivery based on continuous glucose measurements using manufacturer-specific algorithms while continuing to recommend user-initiated meal announcements and boluses for optimal performance.
Percentage of time in target glucose range during the 4 hours following unannounced meal challenges
Percentage of time with sensor glucose between 3.9 and 10.0 mmol/L (70-180 mg/dL) during the 4 hours following standardized unannounced meal challenges, measured using continuous glucose monitoring (CGM). Data will be analyzed at the meal level using all meal challenges completed during each intervention period.
Time frame: During the final 2 weeks of each 4-week intervention period (following the run-in phase).
Time in tight range
Percentage of time with sensor glucose between 3.9 and 7.8 mmol/L (70-140 mg/dL), measured by CGM.
Time frame: Final 2 weeks of each intervention period.
Time Above Range (>10 mmol/L)
Percentage of time with sensor glucose \>10.0 mmol/L (\>180 mg/dL), measured by CGM.
Time frame: Final 2 weeks of each intervention period.
Time Above Range (>13.9 mmol/L)
Percentage of time with sensor glucose \>13.9 mmol/L (\>250 mg/dL), measured by CGM.
Time frame: Final 2 weeks of each intervention period.
Mean Glucose
Mean sensor glucose concentration (mmol/L) measured using CGM.
Time frame: Final 2 weeks of each intervention period
Plan to share: No — Due to ethical and regulatory constraints, individual participant data generated in this study will not be made available to other researchers. Study results will be made publicly available through peer-reviewed publications and sharing with people living with T1D and caregivers: webinar, Better website, etc.
No publications or documents are linked to this record.
Start is estimated for Oct 2026; primary completion for Sep 2029, 35 months later.
Of 844 non-industry interventional studies with no phase under Diabetes Mellitus, Type 1, half reached primary completion within 19 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 38. This study's planned 35 months is above that.
Counting every sponsor, half of 949 studies reached it within 18 months; a quarter within 9 and three quarters within 35.
How these figures are worked out, and which studies are left out of them.
This study is not yet recruiting, as verified in Aug 2026. You cannot join it, but the record below documents what was studied.
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