Efficacy of mechanical debridement with adjunctive probiotic therapy in the treatment of peri‐implant mucositis in cigarette‐smokers and never‐smokers
Bibliographic record
Abstract
BACKGROUND: Efficacy of mechanical debridement (MD) with adjunctive probiotic therapy (PT) in the treatment of peri-implant mucositis (PiM) in cigarette-smoking and never-smoking subjects remains uninvestigated. PURPOSE: The aim was to assess the efficacy of MD with adjunctive PT in the treatment of PiM in cigarette-smoking and never-smoking individuals. MATERIALS AND METHODS: Patients with (group I) and without PiM (group II) were included. Demographic data was collected using a questionnaire. Treatment-wise, patients in groups I and II were subdivided into: (a) Patients that underwent MD with adjunct PT (using Lactobacillus reuteri); and (b) MD alone. In all groups, probing depth (PD), plaque index (PI), and bleeding on probing (BOP) were measured at baseline and compared after 3- and 6-months. Baseline peri-implant crestal bone levels were also measured. Sample-size estimation was performed, and statistical comparisons were done using one-way analysis of variance and Bonferroni post-hoc adjustment tests. P values under .05 were deemed significant. RESULTS: Eighty individuals (group I: 40 cigarette-smokers and group II: 40 never-smokers) with PiM participated in this study. At all-time intervals, no significant difference in PD, PI, and BOP were observed in all patients in group I. At 3-months' follow-up, the differences in BOP (P < .05), and PI (P < .05) were significantly higher in group II that underwent MD + PT than MD alone. At 6-months' follow-up, there was no difference in the changes in BOP and PI among subjects that underwent MD with and without adjunct PT. CONCLUSION: On a short-term basis, MD with adjunct PT is more effectual in the treatment of PiM than MD alone in never-smokers. Cigarette-smoking compromises peri-implant soft tissue healing following MD with or without adjunct PT.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".