Pilot study to investigate glucose concentrations in people without diabetes mellitus during oral glucose tolerance test (oGTT)

Pilot study to investigate glucose concentrations in people without diabetes mellitus during oral glucose tolerance test (oGTT) - IfDT-2132-IU

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

DRKS

Registry ID

DRKS00026765

Enrollment

Registered

2021-09-30

Start date

2021-10-25

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

E14

Interventions

Group 1: oral glucose tolerance test (oGTT)

Eligibility

Sex/Gender

All

Age

18 Years to 35 Years

Inclusion criteria

Inclusion criteria: - Signed informed consent form - Subjects are legally competent and capable to understand character, meaning and consequences of the study

Exclusion criteria

Exclusion criteria: - History of known diabetes mellitus - Severe acute or chronic disease that compromises the subject’s capability to participate in the study (at the study physician’s discretion) - Current constitution of the subjects, which does not enable them to participate in the study (at the study physician’s discretion) - Pregnancy or lactation period - Known severe skin reactions to medicated patches - Blood donation in the last 2 months before the start of the study (according to the subject) - Language or other barriers that prevent a sufficient understanding of the study procedures

Design outcomes

Primary

Measure	Time frame
The statistical analysis is based on descriptive statistics: number of measurement results, mean value, standard deviation, minimum, median, maximum, further quantiles (e.g. quartiles). It is also counted how often the different preanalytical methods come to a positive or negative result in terms of diabetes diagnosis. If central estimates (i.e., mean or median) of the glucose concentration differ markedly, exploratory tests to check for statistically significant differences can be calculated.	—

Measure

Time frame

The statistical analysis is based on descriptive statistics: number of measurement results, mean value, standard deviation, minimum, median, maximum, further quantiles (e.g. quartiles). It is also counted how often the different preanalytical methods come to a positive or negative result in terms of diabetes diagnosis. If central estimates (i.e., mean or median) of the glucose concentration differ markedly, exploratory tests to check for statistically significant differences can be calculated.

—

Secondary

Measure	Time frame
no predefined secondary endpoint	—

Countries

Germany

Contacts

Public ContactPeter Wintergerst

Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm (IfDT)

diabetes@idt-ulm.de0049 731 509 900

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026