Abstract
Introduction: Oral implantology, a modern approach to rehabilitating edentulous patients, has advanced significantly with digital technologies, notably computer-guided surgery. This technique is considered precise and predictable. However, it is essential to assess this technique from the patient’s perspective, focusing on its impact on quality of life and satisfaction. Methods: A literature search was conducted in PubMed, Embase, and CINAHL up to January 2025. Clinical trials and case series studies were included. Studies conducted on partially or fully edentulous patients were selected for inclusion. The studies included static or dynamic guided oral implant treatments, as well as conventional treatments, and evaluated patient-reported outcomes, specifically perceived satisfaction and quality of life. A qualitative synthesis of the findings was performed, and the quality of the included studies was assessed using the Newcastle–Ottawa Scale (NOS). Results: A total of twelve studies were included. The most commonly used questionnaires for evaluation were the Visual Analog Scale (VAS), Oral Health-Related Quality of Life (OHQoL), and Oral Health Impact Profile (OHIP). Computer-guided implantology appears to be a valid and predictable technique for dental implant placement. It is associated with a reduced intraoperative and postoperative pain. Some studies, however, did not identify significant differences compared with conventional implant surgery. Conclusions: Guided oral implantology is a viable option for oral rehabilitation in edentulous patients, offering benefits in surgical precision, pain reduction, and patient experience. Its effects on surgical time and overall patient satisfaction, however, warrant further investigation.
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García-Valdez, D., Velasco-Ortega, E., Ortiz-Garcia, I., Monsalve-Guil, L., López-López, J., Núñez-Márquez, E., … Rondón-Romero, J. L. (2025, September 1). Impact of Guided Implant Dentistry on Patient Quality of Life, Satisfaction, and Psychological Well-Being: A Systematic Review. Journal of Clinical Medicine. Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/jcm14186638
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