Related Experiment Video
Updated: May 6, 2026

An Improved Mechanical Testing Method to Assess Bone-implant Anchorage
Published on: February 10, 2014
Evaluation of factors affecting implant failure: A 13-year retrospective cohort study
Rabia Tül Adeviye Çankaya1, Mehtap Muğlalı1
1Ondokuz Mayıs University, Faculty of Dentistry, Department of Oral and Maxillofacial Surgery, Samsun, Turkey.
Abstract:
Dental implant failure remains a significant concern in oral rehabilitation, with multiple risk factors contributing to early and late implant failure. While numerous studies have examined implant failure rates, limited research distinguishes between early implant failure (EIF) and late implant failure (LIF) based on patient-related, implant-specific, and surgical variables. This study aimed to evaluate the risk factors associated with EIF and LIF and to determine the impact of patient-related, implant-specific, and surgical variables on implant survival. This retrospective cohort study was conducted at Ondokuz Mayıs University. It is based on the treatments provided by an experienced surgeon to individuals who applied for implant treatment between January 2011 and January 2024. This study analyzed 490 patients who met the inclusion criteria out of 3720 who received implant treatment during the relevant years. The patients' ages ranged from 21 to 90, with a mean age of 53.92 ± 13.82 years. Sex, smoking, and implant length (≤10 mm) were identified as risk factors in analyzing parameters affecting EIF, while maxilla, implant length (<8 mm), SLA surface modification, sinus lift procedures, smoking, and short osteointegration duration were identified as risk factors in analyzing parameters affecting LIF. Our findings highlight the distinct risk profiles for EIF and LIF, emphasizing the importance of patient selection, surgical technique, and implant characteristics in optimizing long-term success rates. Recognizing EIF and LIF risk factors enables clinicians to refine treatment protocols and reduce implant failure rates, ultimately improving patient outcomes.
Related Concept Videos
Factors Affecting Drug Response: Overview
Factors Affecting Drug Distribution: Miscellaneous Factors
Age plays a significant role due to differences in body composition among different age groups. Infants, for instance, have a higher proportion of total body water and lower albumin levels, a protein that binds drugs in the bloodstream. This unique composition in infants enhances the...
Drug Product Performance: In Vitro–In Vivo Correlation
Drug Product Stability
Drug Accumulation During Multiple Dosing: Repetitive IV Injections
Drug Accumulation During Multiple Dosing: Intermittent IV Infusions

