Occlusal splint vs acupuncture: Muscle pain when chewing
- Population
- People with temporomandibular disorders (TMD)
- Intervention
- Occlusal splint
- Comparison
- acupuncture
- Outcome
- Muscle pain when chewing
It is very uncertain whether occlusal splint changes muscle pain when chewing compared with acupuncture (very low certainty).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Occlusal splint vs Acupuncture Muscle pain when chewing · People with temporomandibular disorders (TMD) · Short term (1 month), Myofascial pain TMD It is very uncertain whether occlusal splint changes muscle pain when chewing compared with acupuncture (very low certainty). Occlusal interventions for managing temporomandibular disorders (2024) · Cochrane All outcomes | MD 0.10 [-0.80, 1.00] | 1 study · 40 participants | Very low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Occlusal interventions for managing temporomandibular disorders 2024 · Cochrane All outcomes | 2022-08 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Occlusal splint vs No treatment or placebo (non-occlusal or transparent-foil placebo splint) · People with temporomandibular disorders (TMD) · 1 review
- Occlusal splint vs Behavioural therapy (counselling, CBT, relaxation, self-care management) · People with temporomandibular disorders (TMD) · 1 review
- Occlusal splint vs Physical therapy (ultrasound, exercise, sensorimotor training, laser, TENS, manual therapy) · People with temporomandibular disorders (TMD) · 1 review
- Occlusal splint vs Another occlusal splint with a different mechanism of action · People with temporomandibular disorders (TMD) · 1 review
- Occlusal splint vs Pharmacological therapy · People with temporomandibular disorders (TMD) · 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.