Actively Recruiting
Comparison of Partial-thickness Non-advanced Tunnel and Full-thickness MCAT Tunnelling Techniques for Treating Multiple Gum Recessions
Led by Universidad Complutense de Madrid · Updated on 2023-05-10
34
Participants Needed
1
Research Sites
156 weeks
Total Duration
AI-Summary
What this Trial Is About
This research investigates two surgical techniques for treating multiple gingival recessions, which are areas where the gum has receded from teeth. The trial compares the split-thickness non-advanced tunnel method with the full-thickness coronally-advanced tunnel MCAT approach to evaluate which provides better root coverage. The study is a randomized, outcome-assessor blinded clinical trial conducted at multiple centers, focusing on patients with specific types of gum recession who need root coverage treatment. Participants will be randomly assigned to one of two groups one receiving the split-thickness non-advanced tunnel procedure, and the other undergoing the full-thickness coronally-advanced tunnel MCAT surgery. Each technique follows established methods from previous studies. The main treatment period lasts six months, with an option to extend follow-up to three or five years if funding permits. During the study, participants will undergo assessments including measurements of root coverage at three and six months after surgery. Various clinical and digital evaluations will monitor gum tissue changes, tooth attachment, pocket depth, dental sensitivity, and aesthetic outcomes. The primary outcome is the average root coverage achieved at six months, measured by a blinded assessor. Participants will attend follow-up visits and have their oral health carefully monitored throughout the study period.
CONDITIONS
Brief Title
Partial-thickness/Non-advanced vs. Full-thickness/MCAT Tunnelling for the Treatment of Multiple Gingival Recessions
Research Team
M
Mario Romandini
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here