Influence of Neck Design on Peri-Implant Hard and Soft Tissues: A 12-Month Randomized Clinical Trial of Immediately Placed Implants
Abstract
OBJECTIVES
The objective of this RCT was to compare clinical and radiographic outcomes after immediate implant placement and temporization of two neck geometries: a traditional round neck (RN) and an innovative triangular neck (TN).
MATERIALS AND METHODS
Thirty-six patients were enrolled and randomly assigned to TN (test) or RN (control) groups for an immediate implant placement and provisionalization protocol in the anterior maxilla. Buccal bone width (BBW) was assessed by cone-beam computed tomography (CBCT) immediately after implant placement and 4 months later, when the definitive crown was placed. The following parameters were measured on the day of surgery: insertion torque (IT), implant stability quotient (ISQ), crestal width (CW), and soft tissue thickness (STT) at 3 and 5 mm from the gingival margin. Postoperatively, at 4 and 12 months, the MBL, pocket depth (PD), bleeding on probing (BOP), CW, and STT at 3 and 5 mm were recorded.
RESULTS
Two implants per group failed to integrate; in both groups, 1 year implant survival and success rates were 88.9%. At 4 months, BBW was not significantly different between groups (p > 0.05). At 12 months, no significant differences were found in MBL, PD, BOP, CW, or STT (p > 0.05).
CONCLUSIONS
This randomized trial did not demonstrate superiority of the triangular neck over the round neck at 12 months. Estimates and confidence intervals are compatible with small between-group differences. As the study was not designed or powered for…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design.
Read the paper
Related studies
- In silico toxicology protocols
- QM7-X, a comprehensive dataset of quantum-mechanical properties spanning the chemical space of small organic molecules
- Quantum Informed Machine-Learning Potentials for Molecular Dynamics Simulations of CO2's Chemisorption and Diffusion in Mg-MOF-74
- In-silico strategies in nano-drug design: Bridging nanomaterials and pharmacological applications
- mRNA codon optimization with quantum computers
- The computational power of the human brain
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.