ClinicalTrials.gov
public full text
Public Domain
Biologically Guided Flap Stability: the Role of Periosteum Retention on the Performance of the Coronally Advanced Flap
Aim: to evaluate the possible benefit on wound healing and flap stability of periosteum inclusion, comparing a "split-full-split" thickness flap elevation versus a "split" thickness approach performed during CAF for the treatment of isolated-type gingival recessions in the upper jaw. Material and Methods: forty patients were randomized, 20 were treated with "split-full-split" (test group) and 20 with a "split" approach (control group). Analyzed parameters at 1 year were: CRC, percentage of Recession Coverage (RC), Keratinized tissue (KT) gain, patient-related outcome measurements.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Concentrated Growth Factor in the Treatment of Gingival Recessions#1350195
- Evaluation of Patient Morbidity and Root Coverage Outcomes of VISTA Versus CAF in Treating Gingival Recession#1095791
- The Effect Of Using Sticky Bone With Coronally Advanced Flap In Management Of Type 1 Gingival Recession#1294248
- The Use of Mucograft® to Treat Gingival Recession#1282906
- Microvascular Free-Flap Outcomes at a Low-Volume Canadian Center: A Retrospective Analysis.#483371
Record · ID 1230982
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive