ArticleClinical implant dentistry and related research2023
Marginal bone loss around dental implants: comparison between matched groups of bruxer and non-bruxer patients: A retrospective case-control study.
Article in Clinical implant dentistry and related research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 26 citations in OpenAlex.
- Bone-Level Versus Tissue-Level Titanium Dental Implants: A Comparative Cross-Sectional Study.Journal of clinical periodontology · 2026Article
- Biomechanical Influence of Different Cervical Micro-Thread Forms over Narrow-Diameter Implants (2.9 mm) Using Finite Element Analysis.Journal of functional biomaterials · 2025Article
- Three-dimensional finite element analysis of implant-supported prosthodontic designs for maxillary first molars with root fracture.BMC oral health · 2025Article
- New Radiological Corticalization Index as an Indicator of Implant Success Rate Depending on Prosthetic Restoration-5 Years of Follow-Up.Diagnostics (Basel, Switzerland) · 2024Article
- Addition of recombinant human bone morphogenic protein-2 to the graft materials improves the clinical outcomes of implants placed in grafted maxillary sinus.Journal of dental sciences · 2024Article
- Hypertension and Dental Implants: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2024Review
- Difference in marginal bone loss around implants between short implant-supported partial fixed prostheses with and without cantilever: a retrospective clinical study.International journal of implant dentistry · 2023Article
- Risk Factors Associated with Failure and Technical Complications of Implant-Supported Single Crowns: A Retrospective Study.Medicina (Kaunas, Lithuania) · 2023Article
- Assessment of Various Risk Factors for Biological and Mechanical/Technical Complications in Fixed Implant Prosthetic Therapy: A Retrospective Study.Diagnostics (Basel, Switzerland) · 2023Article
- Influence of Crown-Implant Ratio and Implant Inclination on Marginal Bone Loss around Dental Implants Supporting Single Crowns in the Posterior Region: A Retrospective Clinical Study.Journal of clinical medicine · 2023Article
- Frequency of Smoking and Marginal Bone Loss around Dental Implants: A Retrospective Matched-Control Study.Journal of clinical medicine · 2023Article
- Marginal bone loss around dental implants: comparison between matched groups of bruxer and non-bruxer patients: A retrospective case-control study.Clinical implant dentistry and related research · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
purposeTo compare marginal bone loss (MBL) around dental implants in a group of bruxers in relation to a matched group of non-bruxers.
methodsThe present record-based retrospective study included patients selected from individuals treated with dental implants at one specialist clinic in Malmö. Only implants not lost and with baseline radiographs taken within 12 months after implant placement and with a minimum of 36 months of radiological follow-up were considered for inclusion. Univariate linear regression models and a linear mixed-effects model were performed.
resultsTwo hundred and four patients (104 bruxers, 100 non-bruxers), with a total of 811 implants (416 in bruxers, 395 in non-bruxers) were included in the study. The results of the linear mixed-effects model suggested that bruxism, smoking, age, region of the jaws, implant diameter, and prosthesis type had a statistically significant influence on MBL over time. Individuals who are both bruxers and smokers showed greater MBL when compared to individuals who are either a bruxer or smoker, or neither (p < 0.001).
conclusionsBruxism is suggested to increase the risk of MBL over time, as well as higher age, smoking, and the combination of bruxism and smoking. Other factors that showed a correlation with increased MBL were implant diameter, region of the jaws, and prosthesis type, but it is not possible to draw robust conclusions for these factors, as the categories of these variables were very unbalanced.
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