Question · asked by 1 review

Oral cryotherapy (ice chips, ice-cold water, ice cubes or crushed ice held in the mouth during cancer treatment) vs no treatment: Oral mucositis (severe)

Population
Patients with cancer receiving radiotherapy, chemotherapy or targeted therapies
Intervention
Oral cryotherapy (ice chips, ice-cold water, ice cubes or crushed ice held in the mouth during cancer treatment)
Comparison
no treatment
Outcome
Oral mucositis (severe)

Cryotherapy (ice chips) may leads to lower oral mucositis (severe) compared with no treatment (low certainty).

What each review found

Current versions only
No studies found 0 · 0%GRADE not reported 1 · 50%Very low 0 · 0%Low 1 · 50%Moderate 0 · 0%High 0 · 0%
FindingEffectStudiesGRADE certainty
Cryotherapy (ice chips) vs No treatment
Oral mucositis (severe) · Patients with cancer receiving radiotherapy, chemotherapy or targeted therapies · Median 28 days
Cryotherapy (ice chips) may leads to lower oral mucositis (severe) compared with no treatment (low certainty).
Interventions for preventing oral mucositis for patients with cancer receiving treatment (2011) · Cochrane All outcomes
RR 0.36 [0.17, 0.77]5 studies · 472 participantsLow
Cryotherapy (ice chips) vs No treatment
Oral mucositis (severe) · Patients with cancer receiving radiotherapy, chemotherapy or targeted therapies · Median 28 days
Cryotherapy (ice chips) led to lower oral mucositis (severe) compared with no treatment; GRADE not reported.
Interventions for preventing oral mucositis for patients with cancer receiving treatment (2010) · Cochrane All outcomesearlier version CD000978.PUB4, superseded
RR 0.36 [0.17, 0.77]5 studiesGRADE 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.

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.