The Combination of Amoxicillin and Metronidazole Improves Clinical and Microbiologic Results of One‐Stage, Full‐Mouth, Ultrasonic Debridement in Aggressive Periodontitis Treatment
Bibliographic record
Abstract
BACKGROUND: The aim of the present study is to assess clinical, microbiologic, and immunologic benefits of amoxicillin/metronidazole (AM) when performing full-mouth ultrasonic debridement (FMUD) in generalized aggressive periodontitis (GAgP) treatment. METHODS: Twenty-four GAgP patients were divided into two groups: the FMUD group (n = 12), which received FMUD plus placebo, and the FMUD+AM group (n = 12), which received FMUD and 375 mg amoxicillin plus 250 mg metronidazole for 7 days. The following clinical outcomes were tested: plaque and bleeding on probing indices, pocket probing depth (PD), relative gingival margin position (GMP), and relative clinical attachment level (CAL). Total amount of Porphyromonas gingivalis (Pg), Aggregatibacter actinomycetemcomitans (Aa), Tannerella forsythia (Tf), and gingival crevicular fluid (GCF) concentration of interleukin (IL)-10 and IL-1β were also determined. All clinical, microbiologic, and immunologic parameters were assessed at baseline and at 3 and 6 months post-therapy. The ANOVA/Tukey test was used for statistical analysis (α = 5%). RESULTS: Amoxicillin/metronidazole used as an adjunct to the FMUD protocol added clinical and microbiologic benefits to GAgP treatment (P <0.05). FMUD+AM groups presented an additional PD reduction in initially deep PDs at the 3-month follow-up (3.99 ± 1.16 mm and 3.09 ± 0.78 mm for FMUD+AM and FMUD, respectively; P <0.05), a lower number of residual pockets at the 3- and 6-month follow-ups, and a statistical reduction in amounts of Aa (P <0.05). Analysis of Tf and Pg amounts, as well as IL-10 and IL-1β GCF concentrations failed to demonstrate a difference between the groups (P >0.05). CONCLUSION: It may be concluded that amoxicillin/metronidazole improves clinical and microbiologic results of FMUD in GAgP treatment.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".