Question · asked by 1 review
Temporomandibular disorder vs No temporomandibular disorder: Oral health-related quality of life
- Population
- Adolescents (10-19 years)
- Intervention
- Temporomandibular disorder
- Comparison
- No temporomandibular disorder
- Outcome
- Oral health-related quality of life
Temporomandibular disorder is associated with worse OHRQoL in adolescents (narrative synthesis; no pooled estimate or GRADE rating).
What each review found
Current versions onlyNo studies found 0 · 0%GRADE not reported 2 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Temporomandibular disorder (TMD) vs No temporomandibular disorder Oral health-related quality of life (OHRQoL) · Adolescents (10-19 years) · Community/school/clinic settings; adolescents 10-19 years; included reviews conducted in multiple countries Temporomandibular disorder is associated with worse OHRQoL in adolescents (narrative synthesis; no pooled estimate or GRADE rating). Oral-health-related quality of life in adolescents: umbrella review. (2023) All outcomes | dental caries, malocclusion [9, 26-30], TMD [9], dental trauma (TDI) [32, 34, 35], poor brushing [36], toothache [26], periodontal disease [34] and edentulism [9] negatively affect the quality of life of adolescents. | Not reported | GRADE not reported |
Temporomandibular disorder vs No temporomandibular disorder Oral health-related quality of life · Adolescents aged 10-19 years The umbrella review reported that temporomandibular disorder negatively affects oral health-related quality of life. Oral-health-related quality of life in adolescents: umbrella review. (2023) All outcomes | no estimate extracted | Not reported | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Oral-health-related quality of life in adolescents: umbrella review. 2023 All outcomes | January 2022 | 22 | 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.