Gingival Thickness Clinical Trial
Official title:
Classification of Gingival Phenotype at Different Landmarks
Verified date | April 2024 |
Source | Ondokuz Mayis University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
In this study, the point at which gingival thickness (GT) should be measured was investigated. Measurements were made from three different points. It was classified as thin and thick in two ways, according to the average of these three different points and the point corresponding to the base of the gingival groove, which is frequently used in the literature. And these two classifications were compared.
Status | Completed |
Enrollment | 50 |
Est. completion date | December 17, 2023 |
Est. primary completion date | August 5, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Non-smokers - Healthy and normal periodontia - Participants with no evidence of dental caries, crown shape alterations, or restorations affecting the occlusal edge in the teeth - Presence of at least one tooth representing the anterior, molar and premolar regions in the maxillary and mandibular segments Exclusion Criteria: - Presence of gingival recession - Presence of restorations affecting the crown shape and the occlusal edge of the tooth - Using any medication that may affect the thickness of periodontal soft tissues (cyclosporine A, phenytoin or calcium channel blockers) - History of orthodontic treatment - Craniofacial asymmetry - History of periodontal surgery - Presence of abrasion or attrition in the incisal area of the teeth |
Country | Name | City | State |
---|---|---|---|
Turkey | Ondokuz Mayis University Faculty of Dentistry Department of Periodontology | Samsun |
Lead Sponsor | Collaborator |
---|---|
Ondokuz Mayis University |
Turkey,
Jepsen S, Caton JG, Albandar JM, Bissada NF, Bouchard P, Cortellini P, Demirel K, de Sanctis M, Ercoli C, Fan J, Geurs NC, Hughes FJ, Jin L, Kantarci A, Lalla E, Madianos PN, Matthews D, McGuire MK, Mills MP, Preshaw PM, Reynolds MA, Sculean A, Susin C, West NX, Yamazaki K. Periodontal manifestations of systemic diseases and developmental and acquired conditions: Consensus report of workgroup 3 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions. J Periodontol. 2018 Jun;89 Suppl 1:S237-S248. doi: 10.1002/JPER.17-0733. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Examining the sensitivities and sensitivities of two different gingival phenotype classifications based on three-point average GT measurement and single-point measurement using Receiver Operating Characteristic Analysis (ROC). | Two different classifications compared for determining the gingival phenotype of 50 participants were evaluated for sensitivity and specificity using Receiver Operating Characteristic analysis (ROC). Gingival thicknesses for gingival phenotypes were measured in 1195 teeth. The data were recorded in the SPSS program, and ROC analysis was conducted. The Area Under the Curve (AUC) value is a general measure of classification performance in ROC analysis. AUC value ranges between 0 and 1, with a higher value indicating better performance. The result criterion in ROC analysis is used to evaluate the accuracy and discriminative power of classifications. | 1 month | |
Primary | Examining the agreement of GT measurements at three different points in 50 patients, 1195 teeth, using Kappa analysis. | 50 patients, 1195 teeth in the gingival region were measured in millimeters (mm) using a digital caliper with a precision of 0.001 mm. Kappa analysis was conducted on the collected data. Kappa analysis is used to assess the agreement between two or more measurements or between observers. In this study, the agreement between three points and the average GT value was evaluated using Kappa analysis. Kappa value ranges between -1 and 1: a Kappa value approaching 1 indicates excellent agreement between anatomical points. A negative Kappa value indicates worse agreement than random chance between anatomical points. | 1 month |
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