Gingival Thickness Clinical Trial
Official title:
The Interaction of The Gingival And Tooth Morphometric Parameters On The Gingival Phenotype
Verified date | April 2024 |
Source | Ondokuz Mayis University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
This study aims to assess whether there is a valid correlation between the identified multiple clinical and morphometric parameters and the gingival thickness.
Status | Completed |
Enrollment | 50 |
Est. completion date | December 18, 2023 |
Est. primary completion date | December 1, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - 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 Exclusion Criteria: - 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 |
Country | Name | City | State |
---|---|---|---|
Turkey | Ondokuz Mayis University Faculty of Dentistry Department of Periodonthology | Samsun |
Lead Sponsor | Collaborator |
---|---|
Ondokuz Mayis University |
Turkey,
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* Note: There are 25 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Evaluation of researcher reliability by ICC (Intra-Class Correlation Coefficient) in 10 participants in 2 weeks | ICC (Intraclass Correlation Coefficient) is a statistical measure used to evaluate the reliability of repeated measurements or observations. The ICC value varies between 0 and 1. An ICC value approaching 1 indicates perfect agreement between measurements, while an ICC value approaching 0 indicates discordance or inconsistency between measurements. In this study, gingival thickness measurements in 10 participants were measured again by the same researcher at 2-week intervals to investigate their reliability. | Baseline to 2 weeks | |
Primary | 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 | |
Primary | 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 | |
Primary | 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 |
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