Question · asked by 0 reviews
Acupuncture vs Placebo / no treatment / another active non-systemic treatment (e.g. topical salivary stimulant): Quality of life
- Population
- People seeking treatment for symptoms of dry mouth (xerostomia) due to any cause (e.g. haemodialysis, hormonal disorders such as diabetes, autoimmune conditions such as Sjogren's Syndrome/SLE/rheumatoid arthritis, immune disorders, radiotherapy, or medications)
- Intervention
- Acupuncture
- Comparison
- Placebo / no treatment / another active non-systemic treatment (e.g. topical salivary stimulant)
- Outcome
- Quality of life
The review found no eligible studies for this question.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Acupuncture vs Placebo / no treatment / another active non-systemic treatment (e.g. topical salivary stimulant) Quality of life · People seeking treatment for symptoms of dry mouth (xerostomia) due to any cause (e.g. haemodialysis, hormonal… The review found no eligible studies for this question. Interventions for the management of dry mouth: non‐pharmacological interventions (2012) · Cochrane All outcomesearlier version CD009603, superseded | no estimate extracted | Not reported | No studies found |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 |
|---|---|---|---|
| Interventions for the management of dry mouth: non‐pharmacological interventions 2013 · Cochrane All outcomes | 2013-04 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Acupuncture vs sham · Adults with dry mouth due to radiotherapy (head and neck cancer) or Sjogren's Syndrome · 1 review
- Acupuncture vs other active therapy · adults with neuropathic pain · 1 review
- Acupuncture vs treatment · adults with neuropathic pain · 1 review
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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.