Reconstructive Therapy of Peri‐Implantitis Following Non‐Surgical Treatment: A Randomized Controlled Trial
Bibliographic record
Abstract
AIM: To evaluate the clinical and radiographic outcomes of non-surgical treatment followed by either reconstructive therapy or supportive care with no further surgical measures for the treatment of peri-implantitis intra-bony defects. MATERIALS AND METHODS: This randomized clinical trial included patients diagnosed with peri-implantitis exhibiting intrabony defects (≥ 3 mm). All 36 patients received a standardized peri-implant non-surgical therapy. Patients who did not demonstrate disease resolution based on clinical and radiographic re-evaluation were randomized into two groups. The test group received reconstructive therapy [reconstructive group (RG)] while the control group received no additional treatment except supportive care every 3 months [non-reconstructive group (NRG)]. The primary outcome was the mean radiographic bone change at 12 months; the difference between groups was assessed using Mann-Whitney two-sample tests. Clinical and radiographic parameters were recorded at the initial examination and at 3, 6, and 12 months. Also, patient-reported outcomes were assessed. RESULTS: Overall, 34 patients (implants = 34) completed the study. Both therapies resulted in significant clinical and radiographic changes after 12 months. Disease resolution was achieved in 8 (44.4%) NRG patients and 7 (43.8%) RG patients (p ≥ 0.05) with no significant differences between groups. The groups displayed no significant differences in clinical variables, but radiographic bone fill was ~3× greater in the RG group at 12 months [1.21 (SD 0.92) mm versus 0.36 (SD 0.59) mm], demonstrating statistical significance between the tested groups. CONCLUSIONS: The tested therapeutic modalities demonstrated equal disease resolution. Nevertheless, the marginal bone level gain was significantly greater for sites subjected to reconstructive surgical therapy (NCT05168891-This clinical trial was not registered prior to participant recruitment and randomization).
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".