ClinicalTrials.gov
public full text
Public Domain
Two-unit Cantilever Implant Prostheses Made of Monolithic Zirconia or PFM
The aim of is to compare the survival rate and technical outcomes of cantilever implant-supported fixed denture prosthetics (cFDPs) made either out of monolithic zirconia bonded to a titanium base in a digital workflow, or porcelain fused-to metal using a gold abutment in a conventional workflow. In addition, biological outcomes, wear patterns, PROMs and time efficiency will be recorded. The null hypothesis is: the reconstruction type does not influence the survival rate and technical outcomes of 2-unit implant-supported cFDP.
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
- Study of Hard and Soft Tissue Behavior Around Abutments on Implants.#843922
- Comparison of Clinical Performance and Safety of Zirconia vs. Titanium Implants: a Multi-national RCT.#846402
- Prosthetic Complications in Full-arch Screw-retained Implant Restorations Using Monolithic Zirconia Versus Titanium Frameworks: A Randomized Clinical Trial#894303
- Implant-supported Zirconia Partial Dentures With Cantilever#995271
- Predictable Method for Restoring Endodontically Treated Teeth, Comparing Indirect and Direct Methods and Materials in Aesthetic Dentistry.#905843
Record · ID 1086405
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