Artificial Intelligence Assisted Insulin Titration System
iNCDSS
A Study to Assess the Effect and Safety of Artificial Intelligence Assisted Insulin Titration System on Glucose Control in Type 2 Diabetes Mellitus Patients: A Single-center, Open-labeled, Parallel, Randomized Controlled Trial
1 other identifier
interventional
46
1 country
1
Brief Summary
This is a single-center, open-labeled, parallel group, randomized controlled trial to access the effect and safety of the Artificial Intelligence Assisted Insulin Titration System in patients with Type 2 Diabetes Mellitus.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for phase_4 type-2-diabetes
Started Sep 2019
Shorter than P25 for phase_4 type-2-diabetes
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 10, 2019
CompletedFirst Posted
Study publicly available on registry
August 13, 2019
CompletedStudy Start
First participant enrolled
September 27, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 22, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
April 15, 2020
CompletedJuly 27, 2020
July 1, 2020
4 months
August 10, 2019
July 24, 2020
Conditions
Outcome Measures
Primary Outcomes (1)
Proportion of time in target range
The well-controlled blood glucose level is defined as the time of sensor glucose measurements in targeted range (3.9-10 mmol/L)
During 7-day intervention
Secondary Outcomes (3)
Proportion of time in which the blood glucose level is over 10 mmol/L
During 7-day intervention
Proportion of time in which the blood glucose level is below 3.9 mmol/L
During 7-day intervention
Total insulin dose
Each day during 7-day intervention
Study Arms (2)
AI Group
EXPERIMENTALArtificial intelligence assisted insulin titration system group
Control Group
ACTIVE COMPARATORPhysicians decided insulin titration group
Interventions
The patients receive the insulin regime set by AI assisted insulin titration system
Patients receive the insulin regime recommended by physicians
Eligibility Criteria
You may qualify if:
- Men or women aged 18-75 years old;
- Subjects who had been diagnosed with type 2 diabetes;
- Subjects who are on treatment with insulin for at least 3 months;
- HbA1c: 7.0%-11.0%.
You may not qualify if:
- Subjects with acute complications of diabetes such as ketoacidosis or hyperglycemic hyperosmolar state;
- Subjects who change the insulin regimens during hospitalization;
- BMI ≥ 45kg/m2;
- Women who are pregnant or nursing;
- Subjects with severe cardiac, hepatic, renal or general diseases;
- Subjects with psychiatric disorders or impaired cognitive function;
- Subjects with severe edema, infections or peripheral circulation disorders;
- Patients treated with surgery during hospitalization;
- Subjects that are, in the judgement of the investigator, unlikely to comply with the protocol.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
180 Fenglin Road
Shanghai, 200032, China
Related Publications (11)
Xu Y, Wang L, He J, Bi Y, Li M, Wang T, Wang L, Jiang Y, Dai M, Lu J, Xu M, Li Y, Hu N, Li J, Mi S, Chen CS, Li G, Mu Y, Zhao J, Kong L, Chen J, Lai S, Wang W, Zhao W, Ning G; 2010 China Noncommunicable Disease Surveillance Group. Prevalence and control of diabetes in Chinese adults. JAMA. 2013 Sep 4;310(9):948-59. doi: 10.1001/jama.2013.168118.
PMID: 24002281BACKGROUNDWang T, Xu Y, Xu M, Wang W, Bi Y, Lu J, Dai M, Zhang D, Ding L, Xu B, Sun J, Zhao W, Jiang Y, Wang L, Li Y, Zhang M, Lai S, Wang L, Ning G. Awareness, treatment and control of cardiometabolic disorders in Chinese adults with diabetes: a national representative population study. Cardiovasc Diabetol. 2015 Feb 26;14:28. doi: 10.1186/s12933-015-0191-6.
PMID: 25848699BACKGROUNDJi LN, Lu JM, Guo XH, Yang WY, Weng JP, Jia WP, Zou DJ, Zhou ZG, Yu DM, Liu J, Shan ZY, Yang YZ, Hu RM, Zhu DL, Yang LY, Chen L, Zhao ZG, Li QF, Tian HM, Ji QH, Liu J, Ge JP, Shi LX, Xu YC. Glycemic control among patients in China with type 2 diabetes mellitus receiving oral drugs or injectables. BMC Public Health. 2013 Jun 21;13:602. doi: 10.1186/1471-2458-13-602.
PMID: 23800082BACKGROUNDDavies M, Storms F, Shutler S, Bianchi-Biscay M, Gomis R; ATLANTUS Study Group. Improvement of glycemic control in subjects with poorly controlled type 2 diabetes: comparison of two treatment algorithms using insulin glargine. Diabetes Care. 2005 Jun;28(6):1282-8. doi: 10.2337/diacare.28.6.1282.
PMID: 15920040BACKGROUNDOyer DS, Shepherd MD, Coulter FC, Bhargava A, Brett J, Chu PL, Trippe BS; INITIATEplus Study Group. A(1c) control in a primary care setting: self-titrating an insulin analog pre-mix (INITIATEplus trial). Am J Med. 2009 Nov;122(11):1043-9. doi: 10.1016/j.amjmed.2008.12.026.
PMID: 19854333BACKGROUNDYang W, Zhu L, Meng B, Liu Y, Wang W, Ye S, Sun L, Miao H, Guo L, Wang Z, Lv X, Li Q, Ji Q, Zhao W, Yang G. Subject-driven titration of biphasic insulin aspart 30 twice daily is non-inferior to investigator-driven titration in Chinese patients with type 2 diabetes inadequately controlled with premixed human insulin: A randomized, open-label, parallel-group, multicenter trial. J Diabetes Investig. 2016 Jan;7(1):85-93. doi: 10.1111/jdi.12364. Epub 2015 May 25.
PMID: 26816605BACKGROUNDHarris S, Yale JF, Dempsey E, Gerstein H. Can family physicians help patients initiate basal insulin therapy successfully?: randomized trial of patient-titrated insulin glargine compared with standard oral therapy: lessons for family practice from the Canadian INSIGHT trial. Can Fam Physician. 2008 Apr;54(4):550-8.
PMID: 18411384BACKGROUNDRigla M, Garcia-Saez G, Pons B, Hernando ME. Artificial Intelligence Methodologies and Their Application to Diabetes. J Diabetes Sci Technol. 2018 Mar;12(2):303-310. doi: 10.1177/1932296817710475. Epub 2017 May 25.
PMID: 28539087BACKGROUNDAshrafzadeh S, Hamdy O. Patient-Driven Diabetes Care of the Future in the Technology Era. Cell Metab. 2019 Mar 5;29(3):564-575. doi: 10.1016/j.cmet.2018.09.005. Epub 2018 Sep 27.
PMID: 30269984BACKGROUNDThabit H, Hartnell S, Allen JM, Lake A, Wilinska ME, Ruan Y, Evans ML, Coll AP, Hovorka R. Closed-loop insulin delivery in inpatients with type 2 diabetes: a randomised, parallel-group trial. Lancet Diabetes Endocrinol. 2017 Feb;5(2):117-124. doi: 10.1016/S2213-8587(16)30280-7. Epub 2016 Nov 9.
PMID: 27836235BACKGROUNDBally L, Thabit H, Hartnell S, Andereggen E, Ruan Y, Wilinska ME, Evans ML, Wertli MM, Coll AP, Stettler C, Hovorka R. Closed-Loop Insulin Delivery for Glycemic Control in Noncritical Care. N Engl J Med. 2018 Aug 9;379(6):547-556. doi: 10.1056/NEJMoa1805233. Epub 2018 Jun 25.
PMID: 29940126BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Xiaoying Li, MD
Fudan University
Study Design
- Study Type
- interventional
- Phase
- phase 4
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, OUTCOMES ASSESSOR
- Masking Details
- The research assistants who collect study outcome data will be masked to participants' intervention assignment. In addition, the adjudicators for end-points will not be aware of study-group assignments.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 10, 2019
First Posted
August 13, 2019
Study Start
September 27, 2019
Primary Completion
January 22, 2020
Study Completion
April 15, 2020
Last Updated
July 27, 2020
Record last verified: 2020-07
Data Sharing
- IPD Sharing
- Will not share