NCT05151770

Brief Summary

The aim of this study is to demonstrate the efficacy of an algorithm to anticipate the post prandial glycemic profile in type I diabetic patient.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
40

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Dec 2021

Shorter than P25 for all trials

Geographic Reach
1 country

2 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

November 12, 2021

Completed
27 days until next milestone

First Posted

Study publicly available on registry

December 9, 2021

Completed
21 days until next milestone

Study Start

First participant enrolled

December 30, 2021

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 2, 2022

Completed
8 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 30, 2022

Completed
Last Updated

March 15, 2023

Status Verified

April 1, 2022

Enrollment Period

4 months

First QC Date

November 12, 2021

Last Update Submit

March 14, 2023

Conditions

Keywords

Type I diabetesHyperglycemiaPost prandial glycemiaalgorithm

Outcome Measures

Primary Outcomes (1)

  • Algorithm efficacy

    The Algorithm efficacy in predicting the risk or absence of risk of hyperglycemia two hours after taking a full meal is evaluated by comparing glycemic values calculated by the algorithm and those obtained using continuous glucose monitoring system measurements.

    15 days

Secondary Outcomes (5)

  • Algorithm efficacy (lower margin of error)

    15 days

  • Algorithm efficacy versus meal composition

    15 days

  • Influence of the age of the patients on algorithm results

    15 days

  • Influence of the BMI on algorithms results

    15 days

  • Influence of the insulin administration on algorithm results

    15 days

Interventions

The study aims to evaluate the efficacy of a new algorithm in predicting the evolution of glycemia levels after a full meal. Glycemia levels measured during and after a full meal will be compared to the values predicted by the algorithm. Composition of the meals will also be collected.

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Type I diabetes

You may qualify if:

  • Type 1 diabetes
  • ≥ 18 years old
  • Hb1Ac\<12%

You may not qualify if:

  • Patient without continuous glucose monitoring system
  • Disease other than diabetes (bulimia, anorexia…)
  • Dialysis patient
  • Known history of drug or alcohol abuse
  • Patient under judicial protection
  • Person deprived of liberty
  • Pregnant, parturient or breastfeeding woman
  • Patient in psychiatric care
  • Patient admitted to a health or social institution for purposes other than research
  • Any reasons that might interfere with the evaluation of the study objectives

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

APHM

Marseille, France

Location

Hopital Sainte Musse

Toulon, France

Location

MeSH Terms

Conditions

Diabetes Mellitus, Type 1Hyperglycemia

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System Diseases

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
OTHER
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 12, 2021

First Posted

December 9, 2021

Study Start

December 30, 2021

Primary Completion

May 2, 2022

Study Completion

December 30, 2022

Last Updated

March 15, 2023

Record last verified: 2022-04

Data Sharing

IPD Sharing
Will not share

Locations