Publication:
Evaluation of Factors Affecting Implant Failure: A 13-Year Retrospective Cohort Study

dc.authorscopusid59536633300
dc.authorscopusid23470335700
dc.contributor.authorCankaya, Rabia Till Adeviye
dc.contributor.authorMuglali, Mehtap
dc.contributor.authorIDÇankaya, Rabi̇a Tül Adevi̇ye/0000-0001-9290-4901
dc.date.accessioned2025-12-11T00:53:50Z
dc.date.issued2025
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Cankaya, Rabia Till Adeviye; Muglali, Mehtap] Ondokuz Mayis Univ, Fac Dent, Dept Oral & Maxillofacial Surg, TR-55270 Samsun, Turkiyeen_US
dc.descriptionÇankaya, Rabi̇a Tül Adevi̇ye/0000-0001-9290-4901en_US
dc.description.abstractDental 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, implantspecific, 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 May & imath;s 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.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.doi10.1016/j.jcms.2025.03.022
dc.identifier.endpage1069en_US
dc.identifier.issn1010-5182
dc.identifier.issn1878-4119
dc.identifier.issue8en_US
dc.identifier.pmid40234108
dc.identifier.scopus2-s2.0-105002672958
dc.identifier.scopusqualityQ1
dc.identifier.startpage1061en_US
dc.identifier.urihttps://doi.org/10.1016/j.jcms.2025.03.022
dc.identifier.urihttps://hdl.handle.net/20.500.12712/40070
dc.identifier.volume53en_US
dc.identifier.wosWOS:001533276500005
dc.identifier.wosqualityQ2
dc.language.isoenen_US
dc.publisherChurchill Livingstoneen_US
dc.relation.ispartofJournal of Cranio-Maxillofacial Surgeryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDental Implantationen_US
dc.subjectStatistical Factor Analysisen_US
dc.subjectOsseointegrationen_US
dc.subjectRisk Factorsen_US
dc.titleEvaluation of Factors Affecting Implant Failure: A 13-Year Retrospective Cohort Studyen_US
dc.typeArticleen_US
dspace.entity.typePublication

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