A longitudinal retrospective study of the analysis of the risk factors of implant failure by the application of generalized estimating equations

Nöda, Keisuke; Arakawa, Hikaru; Kimura‐Ono, Aya; Yamazaki, Seiya; Hara, Emilio Satoshi; Sonoyama, Wataru; Maekawa, Kenji; Okura, Kazuo; Shintani, Ayumi; Matsuka, Yoshizo; Kuboki, Takuo

doi:10.1016/j.jpor.2015.04.003

Cited by 56 publications

(100 citation statements)

References 31 publications

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“…19 Similarly, many studies have reported maxillary implant placement as a risk factor. 11,22,23 Analysis of our data supports the finding that maxillary sites are more prone to implant failure than mandibular sites (p = 0.014). According to Noda et al,11 , insufficient density of the maxillary bone may explain this finding.…”

Section: Discussionsupporting

confidence: 84%

“…11,22,23 Analysis of our data supports the finding that maxillary sites are more prone to implant failure than mandibular sites (p = 0.014). According to Noda et al,11 , insufficient density of the maxillary bone may explain this finding. In addition, low bone density at implant locations has been previously described to be influential on implant failure.…”

Section: Discussionsupporting

confidence: 84%

“…However, several previous studies have demonstrated that smoking reduces the success rate of osseointegration and may be considered to be a risk factor for implant loss. 11,21 Zupnik et al could not find an association between implant failure and smoking, demonstrating a lower OR as well as a p-value of < 0.05. 19 Similarly, many studies have reported maxillary implant placement as a risk factor.…”

Section: Discussionmentioning

confidence: 94%

“…Outcomes related to implants in a single patient must be more closely correlated than those in separate patients; ignoring these correlations could result in a bias in p-value computations. 11,12,13 Therefore, in this retrospective study, we aimed to evaluate dental implant outcomes and to identify risk factors associated with implant failure over 12 years via dental records of patients attending an educational institution.…”

Section: Introductionmentioning

confidence: 99%

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Risk factors for implant failure: a retrospective study in an educational institution using GEE analyses

et al. 2017

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This study aimed to evaluate dental implant outcomes and to identify risk factors associated with implant failure over 12 years via dental records of patients attending an educational institution. Dental records of 202 patients receiving 774 dental implants from 2002 to 2014 were analyzed by adopting a more reliable statistical method to evaluate risk factors with patients as the unit [generalized estimating equation (GEE)]. Information regarding patient age at implantation, sex, use of tobacco, and history of systemic diseases was collected. Information about implant location in the arch region and implant length, diameter, and placement in a grafted area was evaluated after 2 years under load. Systemic and local risk factors for early and late implant failure were studied. A total of 18 patients experienced 25 implant failures, resulting in an overall survival rate of 96.8% (2.84% and 0.38% early and late implant failures, respectively). The patient-based survival rate was 91.8%. GEE univariate and multivariate analyses revealed that a significant risk factor for implant failure was the maxillary implant (p = 0.006 and p = 0.014, respectively). Bone grafting appeared to be a risk factor for implant failure (p = 0.054). According to GEE analyses, maxillary implants had significantly worse outcomes in this population and were considered to be a risk factor for implant failure. Our results suggested that implants placed in a bone augmentation area had a tendency to fail.

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Section: Discussionsupporting

confidence: 84%

Section: Discussionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

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Risk factors for implant failure: a retrospective study in an educational institution using GEE analyses

et al. 2017

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“…Implant failures might be divided into early and late types [15,16]. Early failure occurs when the implants fail during the process of osseointegration, whereas late failure refers to issues occurring only after occlusal loading [15].…”

Section: Introductionmentioning

confidence: 99%

Bacterial adhesion mechanisms on dental implant surfaces and the influencing factors

Han

Tsoi

Rodrigues

et al. 2016

International Journal of Adhesion and Adhesives

101

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a b s t r a c tBacterial adhesion on dental implants may cause peri-implant disease including peri-implant mucositis and peri-implantitis. Peri-implantitis may lead to bone resorption and eventually loss of the implant. Therefore, the factors which influence bacterial adhesion are critical and revealed by many studies. The purpose of this review is to summarize the current knowledge of factors influencing the bacteria adhesion, including local factors of implant surface topography, abutment, cement and oral environment factors of saliva and protein. In addition, the corresponding strategies of surface modifications, coatings and challenges for implant materials as prevention and treatment approaches for bacteria adhesion on implant will also be discussed. We expect to give an overall picture of the bacteria adhesion on implant, and provide future perspectives, such as laser therapy, photocatalysis, plasma and bioelectric effect to inspire researchers to explore on this issue.

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Implant Complications

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2022

Atlas of Operative Oral and Maxillofacial Surgery

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A longitudinal retrospective study of the analysis of the risk factors of implant failure by the application of generalized estimating equations

Abstract: GEE analysis showed that smoking was a risk factor for early implant failure, and several risk factors were identified for late implant failure.

Cited by 56 publications

References 31 publications

Risk factors for implant failure: a retrospective study in an educational institution using GEE analyses

Risk factors for implant failure: a retrospective study in an educational institution using GEE analyses

Bacterial adhesion mechanisms on dental implant surfaces and the influencing factors

Implant Complications

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