Examining The Relationship Between Gingival Thickness and Tooth and Gingival Parameters

NCT06369493 | Completed

• 1 other identifier: OMUKAEK: 2022/210
• Study Type: observational
• Target: 50
• Locations: 1 country
• Sites: 1

Brief Summary

This study aims to assess whether there is a valid correlation between the identified multiple clinical and morphometric parameters and the gingival thickness.

Conditions

Gingival Thickness

Keywords

Gingival Phenotype; gingival thickness; periodontium; crown morphology

Outcome Measures

Primary Outcomes (3)

• Evaluation of the correlation between KGW, CW, CL PH parameters of GT measured in "mm" with a digital caliper with 0.001 mm precision in 1200 teeth in 50 participants using Spearman correlation analysis.

  Spearman Correlation Analysis is a statistical technique in evaluating the correlation between clinical and morphometric parameters and is used to evaluate the relationship between variables. Variables GT, KGW, PH, CW, CL in 1200 teeth of 50 participants were measured in "mm" with a digital caliper with a precision of 0.001 mm. Spearman correlation coefficient takes a value between -1 and +1. +1 indicates a perfect positive monotonic relationship, -1 indicates a perfect negative monotonic relationship, and 0 indicates no relationship.

  1 month

• Evaluation of the effect of GT on keratinized gingival width, measured in "mm" by digital caliper with a precision of 0.001 mm, both by binary logistic regression analysis of 50 participants.

  In this study, GT, KGW are parametric variables and were measured in mm with a digital caliper with a precision of 0.001 mm. Binary logistic regression analysis is a statistical technique used to model the relationship of a dependent variable between two categorical classes. A significant p-value (\<0.05) indicates that the independent variable (GT for this study) has a significant effect in the model. Binary logistic regression analysis expresses the effect of independent variables on the dependent variable in terms of log-odds. The coefficients of the model determine the magnitude and direction of the effect of the independent variables.

  From September 2022 to May 2023

• Examining the effect of age and gender of 50 participants on the gingival thickness measured in mm using binary logistic regression analysis.

  In this study, GT is a parametric variable and is measured in mm. The effect of age and gender on GT of 50 participants over the age of 18 was examined with binary logistic regression analysis. Binary logistic regression analysis is a statistical technique used to model the relationship of a dependent variable between two categorical classes. A significant p value (\<0.05) indicates that the independent variable (GT for this study) has a significant effect in the model. Binary logistic regression analysis expresses the effect of independent variables on the dependent variable in log-odds terms. The coefficients of the model determine the magnitude and direction of the effect of the independent variables.

  1 month

Other Outcomes (1)

• Evaluation of researcher reliability by ICC (Intra-Class Correlation Coefficient) in 10 participants in 2 weeks

  Baseline to 2 weeks

Study Arms (2)

Thin Gingival Phenotype

Thin phenotype group: Gingival thickness ≤1 mm

Thick Phenotype

Thick phenotype group: Gingival thickness \> 1 mm

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Participants applying to Ondokuz Mayis University Department of Periodontology

You may qualify if:

• Non-smokers ≥18 years old
• Periodontal health with ≤10% bleeding on full mouth probing.
• Participants with no history of systemic diseases or consistent medication use.
• Participants with teeth present in the maxillary and mandibular anterior and posterior regions, with a measured clinical attachment level (CAL) ≤ 3 mm; without buccal attachment loss or gingival inflammation
• Participants with no evidence of dental caries, crown shape alterations, or restorations affecting the occlusal edge in the maxillary and mandibular teeth, and no radiographic evidence of bone loss
• At least one tooth in maxillary and mandibular segments, representing molar and premolar regions
• No tooth loss due to periodontal reasons

You may not qualify if:

• Pregnant or lactating women
• Participants who have received or are receiving orthodontic treatment and using removable dentures or orthodontic devices
• Participants with a history of periodontitis or periodontal surgery involving teeth
• Presence of abrasion or erosion in teeth

Sponsors & Collaborators

• Ondokuz Mayıs University: lead

Study Sites (1)

Ondokuz Mayis University Faculty of Dentistry Department of Periodonthology

Samsun, 55200, Turkey (Türkiye)

Location

Related Publications (26)

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  BACKGROUND

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  PMID: 41013551 DERIVED

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Research Assistant

Study Record Dates

• First Submitted: April 1, 2024
• First Posted: April 17, 2024
• Study Start: September 1, 2022
• Primary Completion: December 1, 2023
• Study Completion: December 18, 2023
• Last Updated: April 17, 2024

Record last verified: 2024-04

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)