Immediate loading vs Early loading: Marginal bone level change
- Population
- Patients who are having osseointegrated root-form dental implants
- Intervention
- Immediate loading
- Comparison
- Early loading
- Outcome
- Marginal bone level change
Immediate loading showed no clear difference in marginal bone level changes compared with early loading; GRADE not reported.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Immediate loading vs Early loading Marginal bone level changes · Patients who are having osseointegrated root-form dental implants · 1 year Immediate loading showed no clear difference in marginal bone level changes compared with early loading; GRADE not reported. Interventions for replacing missing teeth: different times for loading dental implants (2013) · Cochrane All outcomes | MD -0.06 [-0.16, 0.03] | 3 studies | GRADE not reported |
Immediate loading vs Early loading Marginal bone level changes · Patients who are having osseointegrated root-form dental implants · 1 year Immediate loading showed no clear difference in marginal bone level changes compared with early loading; GRADE not reported. Interventions for replacing missing teeth: different times for loading dental implants (2009) · Cochrane All outcomesearlier version CD003878.PUB4, superseded | MD -0.06 [-0.16, 0.03] | 3 studies | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Interventions for replacing missing teeth: different times for loading dental implants 2013 · Cochrane All outcomes | 2012-06 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Immediate loading vs Conventional loading · Patients who are having osseointegrated root-form dental implants · 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.