CGM Boosted by Artificial Intelligence for Better Glycaemic Control in T2 Diabetes

NCT ID: NCT07064499

Last Updated: 2025-08-11

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

440 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-12-15

Study Completion Date

2027-07-31

Brief Summary

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Title: CGM Boosted by Artificial Intelligence for better glycaemic control in T2 Diabetes : a real-life multicenter observational study in Belgium - MAGIC-T2D

Background: In Belgium, since May 2023, reimbursement for continuous glucose monitoring systems has been extended to people with type 2 diabetes taking multiple injections of insulin. Despite the results of previous studies, the impact of this technology in terms of glycaemic control and patient-reported outcomes (PROMs) in real life for patients with type 2 diabetes is still unclear.

Objective: To evaluate the impact of the CGMs on glycemic control and PROMs in people living with type 2 diabetes under real-life conditions.

Methods and analysis: In a multicenter real-world observational study, more than 440 people with type 2 diabetes under multiple daily injection therapy who start to be monitored by a CGM in one of the 13 participating Belgian centers, will be followed for a period of 24 months.

Outcomes: The primary and secondary endpoint are respectively the evolution of time spent in range (defined as a sensor glucose value between 70 and 180 mg/dL) and HbA1c from before start to 12 months after start of the CGM.

Exploratory objectives will be studied using artificial intelligence (AI) to study glucose profiles to characterize the heterogeneity of type 2 diabetes.

Detailed Description

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Conditions

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Type 2 Diabetes

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Type 2 diabetes on MDI and starting CGM

Exclusion Criteria

* Dialysis
* Treatment that raises blood sugar levels (corticosteroids, etc.)
* Secondary and type 1 diabetes
* Patient not able to sign the Informed Consent
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Erasme University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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HUB-Hôpital ERASME

Brussels, , Belgium

Site Status

Countries

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Belgium

References

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Zaccardi F, Khunti K. Glucose dysregulation phenotypes - time to improve outcomes. Nat Rev Endocrinol. 2018 Nov;14(11):632-633. doi: 10.1038/s41574-018-0092-3. No abstract available.

Reference Type BACKGROUND
PMID: 30202117 (View on PubMed)

Hall H, Perelman D, Breschi A, Limcaoco P, Kellogg R, McLaughlin T, Snyder M. Glucotypes reveal new patterns of glucose dysregulation. PLoS Biol. 2018 Jul 24;16(7):e2005143. doi: 10.1371/journal.pbio.2005143. eCollection 2018 Jul.

Reference Type BACKGROUND
PMID: 30040822 (View on PubMed)

Slieker RC, Donnelly LA, Fitipaldi H, Bouland GA, Giordano GN, Akerlund M, Gerl MJ, Ahlqvist E, Ali A, Dragan I, Festa A, Hansen MK, Mansour Aly D, Kim M, Kuznetsov D, Mehl F, Klose C, Simons K, Pavo I, Pullen TJ, Suvitaival T, Wretlind A, Rossing P, Lyssenko V, Legido-Quigley C, Groop L, Thorens B, Franks PW, Ibberson M, Rutter GA, Beulens JWJ, 't Hart LM, Pearson ER. Replication and cross-validation of type 2 diabetes subtypes based on clinical variables: an IMI-RHAPSODY study. Diabetologia. 2021 Sep;64(9):1982-1989. doi: 10.1007/s00125-021-05490-8. Epub 2021 Jun 10.

Reference Type BACKGROUND
PMID: 34110439 (View on PubMed)

Ahlqvist E, Storm P, Karajamaki A, Martinell M, Dorkhan M, Carlsson A, Vikman P, Prasad RB, Aly DM, Almgren P, Wessman Y, Shaat N, Spegel P, Mulder H, Lindholm E, Melander O, Hansson O, Malmqvist U, Lernmark A, Lahti K, Forsen T, Tuomi T, Rosengren AH, Groop L. Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 2018 May;6(5):361-369. doi: 10.1016/S2213-8587(18)30051-2. Epub 2018 Mar 5.

Reference Type BACKGROUND
PMID: 29503172 (View on PubMed)

Haak T, Hanaire H, Ajjan R, Hermanns N, Riveline JP, Rayman G. Flash Glucose-Sensing Technology as a Replacement for Blood Glucose Monitoring for the Management of Insulin-Treated Type 2 Diabetes: a Multicenter, Open-Label Randomized Controlled Trial. Diabetes Ther. 2017 Feb;8(1):55-73. doi: 10.1007/s13300-016-0223-6. Epub 2016 Dec 20.

Reference Type BACKGROUND
PMID: 28000140 (View on PubMed)

McGill JB, Ahmann A. Continuous Glucose Monitoring with Multiple Daily Insulin Treatment: Outcome Studies. Diabetes Technol Ther. 2017 Jun;19(S3):S3-S12. doi: 10.1089/dia.2017.0090.

Reference Type BACKGROUND
PMID: 28585875 (View on PubMed)

Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, Bosi E, Buckingham BA, Cefalu WT, Close KL, Cobelli C, Dassau E, DeVries JH, Donaghue KC, Dovc K, Doyle FJ 3rd, Garg S, Grunberger G, Heller S, Heinemann L, Hirsch IB, Hovorka R, Jia W, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Levine B, Mayorov A, Mathieu C, Murphy HR, Nimri R, Norgaard K, Parkin CG, Renard E, Rodbard D, Saboo B, Schatz D, Stoner K, Urakami T, Weinzimer SA, Phillip M. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care. 2019 Aug;42(8):1593-1603. doi: 10.2337/dci19-0028. Epub 2019 Jun 8.

Reference Type BACKGROUND
PMID: 31177185 (View on PubMed)

Other Identifiers

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SRB2021470

Identifier Type: -

Identifier Source: org_study_id

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