ReviewJournal of the Korean Association of Oral and Maxillofacial Surgeons2020
The impact of the alveolar bone sites on early implant failure: a systematic review with meta-analysis.
Review in Journal of the Korean Association of Oral and Maxillofacial Surgeons, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 24 citations in OpenAlex.
- Aetiology of early implant failure: a scoping review.Clinical oral investigations · 2026Article
- Dental Implants in Medically Compromised Patients Undergoing or After Receiving Anti-Resorptive or Radiotherapy: Retrospective Clinical and Radiographic Data.Clinical oral implants research · 2025Article
- Thread design optimization of a dental implant using explicit dynamics finite element analysis.Scientific reports · 2025Article
- A Comparative Evaluation of the Primary and Secondary Stability of Dental Implants with Progressive and Conventional Thread Designs: A Prospective Non-Interventional Study of 100 Implants in 62 Patients.Journal of clinical medicine · 2025Article
- Dental Implant Survival Rates: Comprehensive Insights from a Large-Scale Electronic Dental Registry.Journal of functional biomaterials · 2025Article
- Immediate functional loading of implant-supported mandibular prostheses with customized UCLA'S attachments with distal extension: A case report.SAGE open medical case reports · 2024Article
- Incorporating zinc ion into titanium surface promotes osteogenesis and osteointegration in implantation early phase.Journal of materials science. Materials in medicine · 2023Article
- Review
- A CBCT Study of Labial Alveolar Bone Thickness in the Maxillary Anterior Region in a Teaching Hospital Population in the Eastern Province of Saudi Arabia.Biomedicines · 2023Article
- Inflammasomes in Alveolar Bone Loss.Frontiers in immunology · 2021Review
- Repeatability and Reproducibility of a Modified Lekholm and Zarb Bone Quality Classification Based on Cone Beam Computed Tomography: An Observatsion Study.Journal of International Society of Preventive & Community DentistryArticle
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dental implants are the first option for replacement of missing teeth. Failure usually involves additional cost and procedures. As a result, the physician should limit the risk factors associated with implant failures. Implant site is one of many factors that can influence the success or failure of dental implants. The association between early implant failure (EIF) and implant site has yet to be documented. This review aims to estimate the impact of insertion site on the percentage of EIFs. An electronic and manual search of studies that reported early failure of dental implants based on collection site. A total of 21 studies were included in the review and examined for the association between EIF and alveolar site. Subgroup analysis, including a comparison between implants inserted in four alveolar ridge regions of both jaws was performed. The early failure rate was higher for maxillary implants (3.14%) compared to mandibular implants (1.96%). Applying a random effect, risk ratio (RR), and confidence interval (CI) of 95% revealed higher failure in the maxilla compared to the mandible (RR 1.41; 95% CI [1.19, 1.67];
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.