Use of Dental Age Determination Methods in Children With Type Diabetes

NCT06919367 | Completed

• 1 other identifier: 2023/435
• Study Type: observational
• Target: 58
• Locations: 1 country
• Sites: 1

Brief Summary

The aim of this study was to determine the estimated dental age of children with type 1 diabetes by using Cameriere, Willems and Demirjian methods.

Conditions

Diabetes

Outcome Measures

Primary Outcomes (1)

• dental age estimation

  Are the dental age prediction results of children with diabetes different from healthy children?

  3 months

Secondary Outcomes (1)

• type 1 diabetes and dental age estimation

  3 months

Interventions

age estimation using orthopantomography OTHER

Dental age estimation will be performed with 3 different methods based on orthopantomographic images obtained during routine examinations of patients.

Eligibility Criteria

• Age: 4 Years - 15 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17)
• Sampling Method: Non-Probability Sample

Study Population

Type 1 diabetes mellitus who applied to Bolu Abant İzzet Baysal University Faculty of Dentistry Pedodontics Clinic between 2017 and 2024 were included.

You may qualify if:

• years old
• No chronic disease in addition to the diagnosis of type 1 diabetes
• Children with controlled type 1 diabetes mellitus
• No congenital tooth deficiency
• Pediatric patients with good quality panoramic radiographs were included.

You may not qualify if:

• Blurred or distorted radiographs,
• Missing any of the left seven permanent mandibular teeth (genesis or extraction),
• With dental abnormalities (dilaceration, supernumerary teeth) and developmental disorders (cleft lip and palate),
• Patients with incomplete medical or dental history were excluded.

Sponsors & Collaborators

• Abant Izzet Baysal University: lead

Study Sites (1)

Abant Izzet Baysal University

Bolu, Bolu, 14030, Turkey (Türkiye)

Location

MeSH Terms

Conditions

Diabetes Mellitus

Condition Hierarchy (Ancestors)

Glucose Metabolism Disorders; Metabolic Diseases; Nutritional and Metabolic Diseases; Endocrine System Diseases

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor

Study Record Dates

• First Submitted: March 26, 2025
• First Posted: April 9, 2025
• Study Start: December 25, 2023
• Primary Completion: July 20, 2024
• Study Completion: July 20, 2024
• Last Updated: April 9, 2025

Record last verified: 2025-04

Data Sharing

• IPD Sharing: Will share

Locations

TU (1)