Prospective controlled clinical study investigating long‐term clinical parameters, patient satisfaction, and microbial contamination of zirconia implants
Bibliographic record
Abstract
BACKGROUND: Dental implants made of zirconia ceramics experienced a renaissance in the past years. However, there is still a lack in reliable long-term clinical data. PURPOSE: Aim of the present prospective clinical study was to analyze the dental implants made from zirconia, regarding their clinical performance compared to natural teeth (control). MATERIALS AND METHODS: Eighty-three zirconia implants in 28 adults were analyzed after 7.8 years of integration. Approximal plaque index (API), sulcus bleeding index (SBI), probing pocket depth (PPD), probing attachment level (PAL), and creeping or recession (CR/REC) of the mucosa/gingiva were analyzed. Changes in the marginal bone level (MBL) have been determined by comparing radiographs recorded immediately after implant placement and at the follow-up investigation. Furthermore, the pink esthetic score (PES), Periotest values (PTV), microbial colonization of the implant/dental sulcus fluid, and patient satisfaction were assessed. RESULTS: The survival rate of zirconia implants was 100%, however one implant presented a profound peri-implantitis, resistant to therapies. No statistical significance was observed between implants and teeth regarding SBI and PAL. Statistical significance was detected regarding API and CR/REC with significantly less plaque accumulation and recession in the study group. Significantly higher values for PPD were obvious in the zirconia implant group. PES of 9 ± 2.7 indicate a rather average esthetic result. Analysis of MBL revealed a mean peri-implant bone resorption of 1.2 mm. Microbial analysis revealed a nonstatistically significant higher colonization of bacteria in the study group, whereas single bacteria species were detected in statistically significant higher amounts. CONCLUSION: The investigated one-piece zirconia dental implants presented favorable long-term clinical results, comparable to natural teeth (SBI and PAL), and, regarding adhesion of plaque and creeping attachment (CR/REC), even superior. The microbial investigation revealed a shift in peri-implant colonization around zirconia implants over years, mainly without clinical effect on peri-implantitis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".