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NCT03898076: A1c
Predictive A1c Based on CGM Data Using CGM Data
trial testing Flash Glucose Monitoring in Diabetes Mellitus, Type 1 in 60 participants. Completed in 30 December 2020.
31 August 2020
Quick facts
| Lead sponsor | Sidra Medicine |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 60 |
| Start date | 1 June 2020 |
| Primary completion | 31 August 2020 |
| Estimated completion | 30 December 2020 |
| Sites | 1 location across Qatar |
Drugs / interventions tested
- Flash Glucose Monitoring
- A1c
- Predictive A1c
Conditions studied
- Diabetes Mellitus, Type 1 — all drugs for Diabetes Mellitus, Type 1 →
Sponsor
Sidra Medicine
Who can join
Adults 2 to 18, any sex, with Diabetes Mellitus, Type 1. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Introduction. The hemoglobin A1C (HbA1c) reflects the average blood glucose level for last two to three months. Recent advancements in the sensor technology facilitate the daily monitoring of the blood glucose using CGM devices. The future prediction of the HbA1C based on the CGM data holds a critical significance in maintaining long term health of diabetes patients. A higher than normal value of the HbA1c greatly increases the likelihood of diabetes related cardiovascular disease. Goal. The aim this study is to predict the HbA1c in advance by utilizing the CGM data through applying machine learning techniques. The outcomes of this research will assist in improving the health of diabetic patients. Methods. This is a retrospective analysis. The investigators will de-identify and analyze 120 patients with T1D who using CGM sensor for last three months. Past 15 days of CGM data will be analyzed and different glucose variability features such as time in range (TIR), coefficient of variation (CV), mean amplitude of glycemic excursion (MAGE), mean of daily differences (MODD), continuous overall net glycemic action (CONGA) will be extracted. A machine learning model will calculate (predict) HbA1c in 2-3 months advance based on these 15 days of CGM data. To evaluate the performance of the proposed prediction model, predicted HbA1c will be compared with the real HbA1c.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT03898076
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Related trials
Other trials of Flash Glucose Monitoring
Trials testing the same drug.
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- NCT03368586 — Accuracy, Satisfaction and Usability of a FGM System Among Children and Adolescents Attending a Diabetes Summer Camp · completed
Other recruiting trials for Diabetes Mellitus, Type 1
Currently open trials in the same condition.
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- NCT06325202 — Closed Loop and Education for Hypoglycemia Awareness Restoration · NA · recruiting
- NCT07160816 — A Research Study to See How Insulin Icodec Helps People With Type 1 Diabetes Control Their Blood Sugar · recruiting
Other Sidra Medicine trials
Trials by the same sponsor.
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- NCT05069727 — Simple Initiation of Advanced Hybrid Closed Loop System · NA · completed
- NCT04442529 — Mothers and Babies Qatar (MB-Q): A Postpartum Depression Intervention · NA · recruiting
- NCT04509362 — An 8-Day Initiation of Advanced Hybrid Closed Loop System In Children and Adolescents · completed
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT03898076 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Sidra Medicine
- Last refreshed: 28 September 2021
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03898076.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing