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Purpose: Dental implants are an established treatment option for varying edentulous conditions that has grown in popularity since the 1990s. This increased clinical application has shown a parallel increase in implant-related research. The objective of this paper was to perform a comprehensive bibliometric analysis of five dental implantology journals from 1991 to 2023., Materials and Methods: A search was done in the Web of Science database between 1991 and 2023 in five journals with a focus on dental implantology: Clinical Oral Implant Research, Clinical Implant Dentistry and Related Research, Implant Dentistry, The International Journal of Oral & Maxillofacial Implants, and International Journal of Oral Implantology. Results marked as a correction, retraction notice, retracted article, meeting abstract, or withdrawn publication were removed from the analysis. The time period analyzed was divided into four time periods, organized by decade: 1991 to 2000, 2001 to 2010, 2011 to 2020, and 2021 to 2023. Additionally, the top 100 cited papers were also exported separately. Authors and countries with most publications were tabulated from the Web of Science database. VOSviewer software was used to create network maps of keywords and title word occurrences for each of the time periods. HistCite software was used to analyze the number of publications and citation counts., Results: Network maps of keywords and title word occurrences suggested an early focus on osseointegration and titanium implants between 1991 and 2000. Publications between 2001 and 2010 saw a focus on in vivo studies, implant surface, and peri-implantitis. Publications from 2011 and later saw a focus on bone regeneration, complications, and zygomatic implants. The USA ranked highest in total number of publications in all analyzed time periods., Conclusions: Within the limitations of the present study, a comprehensive bibliometric analysis from 1990 to 2023 was reported. Trends in keywords and titles of implant publications were identified in these journals, which mirrored the trends seen in clinical practice.

Purpose: The exact etiopathogenesis of peri-implant diseases remains unclear. While significant information on molecular markers is available, studies on biomarkers related to possible biocorrosion are sparse. This study aimed to evaluate periimplant crevicular fluid (PICF) for possible titanium (Ti) contamination and explore associations between clinical findings, inflammatory mediators, and Ti levels., Materials and Methods: Patients with implant-supported restoration (≥ 1 year in function) were recruited for this cross-sectional study. Demographics, systemic, and periodontal health history were recorded. Clinical evaluations were conducted to reach peri-implant/periodontal diagnoses and grade severity of peri-implant soft tissue inflammation. Crevicular fluid (CF) was collected from both implants and adjacent teeth (PICF, gingival crevicular fluid [GCF]) and analyzed for Ti (inductively coupled plasma mass spectrometry) and inflammatory mediators (V-plex assays). Multiple regression analysis with a linear mixed effect model was used to analyze possible associations between clinical diagnosis, PICF/GCF cytokine, and Ti concentrations., Results: Seventy-seven patients (aged 62 ± 2 years; 39 male) with 117 implants (9 ± 1 years in function) were recruited. Diabetes, positive periodontitis history, and current/former smoking were reported by 8%, 39%, and 39% of subjects, respectively. Seventy-nine implant sites (63 patients) were included in CF cytokine analysis, and 45 of these sites (42 patients) were paired with Ti analysis. Statistically significant increases from health to disease were noted in log-transformed PICF concentrations of IL-1β, IL-6, IL-10, and INF-γ (P ≤ .05). Also, statistically significant increases from health to severe clinical inflammation were detected in log-transformed PICF concentrations of IL-8, IL-13, and TNF-α (P ≤ .05). Ti was detected in the majority (82%) of PICF and GCF samples. There was no statistically significant difference in log-transformed Ti concentration based on disease status. However, log-transformed Ti concentration was positively correlated to IL-1β, IL-2, IL-4, IL-8, IL-13, and INF-γ concentrations when data were adjusted for site-specific health (P ≤ .05)., Conclusion: Ti was detectable in PICF and adjacent GCF, even in health. Specific inflammatory mediator concentrations were increased in peri-implant disease and significantly associated with Ti concentrations, even when data were adjusted for peri-implant health status. Increased GCF inflammatory mediator concentrations were also associated with increased Ti concentrations. Ti effects on peri-implant as well as periodontal tissues require additional longitudinal investigations.