Experienced in Hyperthyroidism

Christoph Stettler

Bern, BE, CH 
Clinical Trials:Currently Recruiting for 1 Trial
Experienced in Hyperthyroidism
Bern, BE, CH 
OverviewLocationsClinical Research

Overview

Christoph Stettler practices in Bern, Switzerland. Mr. Stettler is rated as an Experienced expert by MediFind in the treatment of Hyperthyroidism. His top areas of expertise are Low Blood Sugar, Type 1 Diabetes (T1D), Diabetes Insipidus (DI), and Type 2 Diabetes (T2D).

His clinical research consists of co-authoring 101 peer reviewed articles and participating in 6 clinical trials. MediFind looks at clinical research from the past 15 years. In particular, he has co-authored 2 articles in the study of Hyperthyroidism.

Gender
Male

Locations

Bern, BE, Switzerland
Other Locations
Switzerland
Basel, BS 4031, Switzerland

Clinical Research

Clinical research consists of overseeing clinical studies of patients undergoing new treatments and therapies, and publishing articles in peer reviewed medical journals. Experts who actively participate in clinical research are generally at the forefront of the fields and aware of the most up-to-date advances in treatments for their patients.

6 Clinical Trials

Swiss Diabetes Registry - SwissDiab Study, a Prospective Cohort Study of Patients With Diabetes in Switzerland
Swiss Diabetes Registry - SwissDiab Study, a Prospective Cohort Study of Patients With Diabetes in Switzerland
Enrollment Status: Recruiting
Publish Date: December 04, 2024
Subcutaneous Dasiglucagon Use During Exercise In People With Type 1 Diabetes: Effects On Plasma Glucose And Exercise Metabolism
Subcutaneous Dasiglucagon Use During Exercise In People With Type 1 Diabetes: Effects On Plasma Glucose And Exercise Metabolism
Enrollment Status: Withdrawn
Publish Date: September 01, 2023
Intervention Type: Drug
Study Drug: Dasiglucagon
Study Phase: Early Phase 1
Does Combined Caffeine and Carbohydrate Ingestion Counter the Exercise-mediated Fall in Glycaemia in Individuals With Type 1 Diabetes on Insulin Degludec? The DE-CAF Study
Does Combined Caffeine and Carbohydrate Ingestion Counter the Exercise-mediated Fall in Glycaemia in Individuals With Type 1 Diabetes on Insulin Degludec? The DE-CAF Study
Enrollment Status: Completed
Publish Date: March 14, 2023
Intervention Type: Dietary supplement
Study Phase: Not Applicable
Fructose to Reduce Exercise-associated Hypoglycaemia in Individuals With Type 1 Diabetes Treated With Insulin Degludec: Questioning a Paradigm and Offering a Novel Strategy
Fructose to Reduce Exercise-associated Hypoglycaemia in Individuals With Type 1 Diabetes Treated With Insulin Degludec: Questioning a Paradigm and Offering a Novel Strategy
Enrollment Status: Completed
Publish Date: September 20, 2019
Intervention Type: Dietary supplement, Other
Study Phase: Not Applicable
Exploring Beta Cell Function in Individuals With Postbariatric Postprandial
Exploring Beta Cell Function in Individuals With Postbariatric Postprandial
Enrollment Status: Completed
Publish Date: December 04, 2018
Intervention Type: Other
Study Phase: Not Applicable
A Randomised Study to Assess the Efficacy and Safety of Automated Closed-loop Glucose Control in Insulin Treated Type 2 Diabetes (Phase 1), Inpatient Hyperglycaemia Requiring Subcutaneous Insulin Therapy (Phase 2 and Phase 3) and to Evaluate Use of Closed-loop Applying Faster Insulin Aspart Versus Standard Insulin Aspart (Phase 4)
A Randomised Study to Assess the Efficacy and Safety of Automated Closed-loop Glucose Control in Insulin Treated Type 2 Diabetes (Phase 1), Inpatient Hyperglycaemia Requiring Subcutaneous Insulin Therapy (Phase 2 and Phase 3) and to Evaluate Use of Closed-loop Applying Faster Insulin Aspart Versus Standard Insulin Aspart (Phase 4)
Enrollment Status: Completed
Publish Date: October 19, 2018
Intervention Type: Device
Study Phase: Not Applicable
View 5 Less Clinical Trials

101 Total Publications

Listening to Hypoglycemia: Voice as a Biomarker for Detection of a Medical Emergency Using Machine Learning.
Listening to Hypoglycemia: Voice as a Biomarker for Detection of a Medical Emergency Using Machine Learning.
Journal: Diabetes care
Published: July 13, 2025

Areas of Expertise

MediFind evaluates expertise by pulling from factors such as number of articles a doctor has published in medical journals, participation in clinical trials, speaking at industry conferences, prescribing and referral patterns, and strength of connections with other experts in their field.

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