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Periodontal treatment (scaling and root planing, polishing, or surgery), alone or with oral hygiene counselling, antiseptics, or antimicrobials vs no treatment or placebo: Attachment change
- Population
- People with diabetes mellitus (type 1 or type 2, mostly type 2) and periodontitis, at least 16 years of age
- Intervention
- Periodontal treatment (scaling and root planing, polishing, or surgery), alone or with oral hygiene counselling, antiseptics, or antimicrobials
- Comparison
- no treatment or placebo
- Outcome
- Attachment change
The review found no eligible studies for this question.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Periodontal therapy (oral hygiene instruction, mechanical debridement/scaling, antiseptics, antimicrobial therapy) vs No treatment or placebo Changes in periodontal attachment levels · People with diabetes mellitus (Type 1 or Type 2) and periodontal disease, at least 16 years of age · ≥90 days post-treatment (planned) The review found no eligible studies for this question. Treatment of periodontitis for glycaemic control in people with diabetes mellitus (2004) · Cochrane All outcomesearlier version CD004714, superseded | Protocol only; planned outcome, no results reported | Not reported | No studies found |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Treatment of periodontitis for glycaemic control in people with diabetes mellitus 2022 · Cochrane All outcomes | 2021-09 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Periodontal treatment (scaling and root planing, polishing, or surgery), alone or with oral hygiene counselling, antiseptics, or antimicrobials vs no treatment · Pregnant women considered to have periodontal disease (gingivitis or periodontitis)… · 1 review
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.