Question · asked by 1 review
Colchicine (0.5 mg three times per day) vs Clofazimine (100 mg daily for 30 days, then 100 mg every other day): Adverse effects
- Population
- Participants with a previous or current history of recurrent aphthous stomatitis (RAS), diagnosed on history and clinical examination; excluding those with Behcet's disease, Reiter's syndrome, recurrent erythema multiforme, viral infection, coeliac disease, Crohn's disease, ulcerative colitis, anaemia or haematinic deficiency
- Intervention
- Colchicine (0.5 mg three times per day)
- Comparison
- Clofazimine (100 mg daily for 30 days, then 100 mg every other day)
- Outcome
- Adverse effects
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Colchicine (0.5 mg three times per day) vs Clofazimine (100 mg daily for 30 days, then 100 mg every other day) Adverse effects · Participants with a previous or current history of recurrent aphthous stomatitis (RAS), diagnosed on history and… · 6 months Systemic interventions for recurrent aphthous stomatitis (mouth ulcers) (2012) · Cochrane All outcomes | Clofazimine was associated with an increase in cutaneous adverse effects (Fisher's exact test P=0.015), easily controlled; there was a greater percentage of treatment interruptions in the colchicine group due to… | 1 study · 46 participants | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Systemic interventions for recurrent aphthous stomatitis (mouth ulcers) 2012 · Cochrane All outcomes | 2012-06 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Colchicine (0.5 mg three times per day) vs placebo · Participants with a previous or current history of recurrent aphthous stomatitis (RAS),… · 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.