Soft Tissue Changes Assessment in Screw-Retained Maxillary Implant Supported Complete Denture With Electric Welded Metal Framework Versus Casted One (RCT, Split Mouth Design)
试验速览
- 阶段
- 不适用
- 入组人数
- 12
- 试验地点
- 2
- 主要终点
- Soft Tissue Changes Assessment
研究概览
简要总结
comparing the changes in the soft tissue around the implants that will be joined by a metal framework either with electric welding or with the conventional casting method
详细描述
as joining multiple implants by a metal framework considered a solid solution for edentulous arches , but in the same time the conventional method to weld this metal framework to the implants by casting technique in lab usually involves a several disadvantages eg. cost and time consuming in addition to laboratory errors, Thus , this study aims to find another method to weld the metal framework intraorally by an electric welding device
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 盲法
- Single (Outcomes Assessor)
入排标准
- 年龄范围
- 45 Years 至 65 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Ages range from 45 to 65 years old.
- •Absence of any medical disorder that could complicate the Surgical phase or affect osseointegration.
- •The patients must be completely edentulous.
- •The patient must have enough bone height for implants minimum length of 10mm and a minimum diameter of 5 mm.
- •Patients with good oral hygiene.
- •Complete denture wearer.
- •Adequate inter arch space for screw retained prosthesis.
- •Absence of any intra-oral pathological condition.
排除标准
- •Patients with recent extraction(less than three months).
- •Patients with inflamed ridge or candida infection.
- •Patients with flappy ridge.
- •Parafunctional habits.
结局指标
主要结局
Soft Tissue Changes Assessment
时间窗: 12 months
Primary outcome is the probing depth which will be measured using the periodontal probe (unit mm) around the implant to check the changes that may occur in the peri-implant soft tissues
次要结局
未报告次要终点
研究者
Hamsa Khalid Lafta
principal investigator
Cairo University