Question · asked by 1 review

Camomile vs placebo: Oral mucositis (any severity)

Population
Patients with cancer receiving radiotherapy, chemotherapy or targeted therapies
Intervention
Camomile
Comparison
placebo
Outcome
Oral mucositis (any severity)

Camomile showed no clear difference in oral mucositis (any severity) compared with placebo; GRADE not reported.

What each review found

Current versions only
No studies found 0 · 0%GRADE not reported 2 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
FindingEffectStudiesGRADE certainty
Camomile vs Placebo
Oral mucositis (any severity) · Patients with cancer receiving radiotherapy, chemotherapy or targeted therapies · Median 28 days
Camomile showed no clear difference in oral mucositis (any severity) compared with placebo; GRADE not reported.
Interventions for preventing oral mucositis for patients with cancer receiving treatment (2011) · Cochrane All outcomes
RR 0.89 [0.62, 1.27]1 study · 164 participantsGRADE not reported
Camomile vs Placebo
Oral mucositis (any severity) · Patients with cancer receiving radiotherapy, chemotherapy or targeted therapies · Median 28 days
Camomile showed no clear difference in oral mucositis (any severity) compared with placebo; GRADE not reported.
Interventions for preventing oral mucositis for patients with cancer receiving treatment (2010) · Cochrane All outcomesearlier version CD000978.PUB4, superseded
RR 0.89 [0.62, 1.27]1 study · 164 participantsGRADE not reported

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Interventions for preventing oral mucositis for patients with cancer receiving treatment
2011 · Cochrane All outcomes
2011-02Not listedNot assessed

The same intervention and outcome, asked in another population or against another comparator.

  • Camomile vs placebo · Patients with cancer receiving chemotherapy and/or radiotherapy · 0 reviews
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.