Effects of uncontrolled periodontitis on marginal bone alterations around implants: A case‐control study
Bibliographic record
Abstract
BACKGROUND: The hypothesis of bacterial infection initiating marginal bone loss around dental implant in analogy with natural tooth is still in debate. PURPOSE: The aim of this retrospective study was to investigate the effects of uncontrolled periodontitis on marginal bone alterations around implants compared with the periodontal health group at a mean follow-up of at least 6 years. MATERIALS AND METHODS: Thirty consecutive uncontrolled periodontally compromised patients (PCP) and 30 periodontally healthy patients (PHP), with a total of 96 Straumann implants (PCP = 55, PHP = 41) were matched for age, gender, smoking, and implant characteristics. The inclusion criteria for PCPs were continuing tooth loss due to uncontrolled periodontal disease and no supportive periodontal maintenance after implant therapy. Peri-implant conditions were examined and the number of teeth lost during the follow-up periods was recorded in both groups. Radiographic marginal bone loss of implants and adjacent teeth was calculated having the restoration time point as baseline. RESULTS: No implant loss occurred in both groups. The mean number of teeth lost during the follow-up periods was 0.67 ± 0.80 in the PHP group, 3.93 ± 2.36 in the PCP group with statistical significance. The average overall bone loss was significantly greater at teeth than that around implants in the PCP group (0.54 ± 0.27 versus 0.22 ± 0.25 mm, P < .001), while no statistically significant differences were observed in the PHP group (0.18 ± 0.08 versus 0.22 ± 0.18 mm, P = .317). No statistically significant differences were observed between PC and PH patients when comparing the peri-implant marginal bone loss. No significant correlations were found between teeth loss and crestal bone loss at implants sites in both groups. CONCLUSION: This study indicated that the marginal bone level around implants seemed more stable in comparison to that around the natural teeth when exposed to uncontrolled periodontal disease.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".