Question · asked by 1 review
Replacement of the defective restoration vs Repair of the defective restoration: Amalgam: Preference for replacement over repair - Scenario 7: non-stable (mobile) restoration
- Population
- Dentists managing a defective direct amalgam restoration (posterior occlusal Class I; standardized vignette of a 30-year-old, low-caries-risk patient)
- Intervention
- Replacement of the defective restoration
- Comparison
- Repair of the defective restoration
- Outcome
- Amalgam: Preference for replacement over repair - Scenario 7: non-stable (mobile) restoration
For a defective amalgam restoration with non-stable (mobile) restoration, surveyed dentists most often preferred replacement over repair (pooled RR 24.22; p < 0.001); ungraded.
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Replacement of the defective restoration vs Repair of the defective restoration Amalgam: Preference for replacement over repair - Scenario 7: non-stable (mobile) restoration · Dentists managing a defective direct amalgam restoration (posterior occlusal Class I; standardized vignette of a… · Not applicable (single time-point survey, June to October 2023), Multinational (21 countries across Africa, Asia, Europe, South America); general dental practice, Overall (all 21 countries pooled) For a defective amalgam restoration with non-stable (mobile) restoration, surveyed dentists most often preferred replacement over repair (pooled RR 24.22; p < 0.001); ungraded. Clinical Decision-Making of Repair vs. Replacement of Defective Direct Dental Restorations: A Multinational… (2025) All outcomes | RR 24.22 [13.05, 44.95] | 21 studies · 3680 participants | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Clinical Decision-Making of Repair vs. Replacement of Defective Direct Dental Restorations: A Multinational Cross-Sectional Study With… 2025 All outcomes | Not applicable (primary multinational survey; data collected June to October 2023, no bibliographic database search) | Not listed | Not applicable |
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.