Question · asked by 1 review

GM-CSF vs placebo or no treatment: Oral mucositis (any severity)

Population
Adults with cancer receiving treatment
Intervention
GM-CSF
Comparison
placebo or no treatment
Outcome
Oral mucositis (any severity)

Granulocyte-macrophage colony-stimulating factor (GM-CSF) showed no clear difference in oral mucositis (any severity) compared with placebo or no treatment; 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
Granulocyte-macrophage colony-stimulating factor (GM-CSF) vs Placebo or no treatment
Oral mucositis (any severity) · Adults with cancer receiving treatment · BMT/SCT after conditioning for haematological cancers
Granulocyte-macrophage colony-stimulating factor (GM-CSF) showed no clear difference in oral mucositis (any severity) compared with placebo or no treatment; GRADE not reported.
Interventions for preventing oral mucositis in patients with cancer receiving treatment: cytokines and… (2017) · Cochrane All outcomes
RR 0.91 [0.80, 1.04]1 study · 90 participantsGRADE not reported
Granulocyte-macrophage colony-stimulating factor (GM-CSF) vs Placebo or no treatment
Oral mucositis (any severity) · Adults with cancer receiving treatment · RT to head and neck
Granulocyte-macrophage colony-stimulating factor (GM-CSF) showed no clear difference in oral mucositis (any severity) compared with placebo or no treatment; GRADE not reported.
Interventions for preventing oral mucositis in patients with cancer receiving treatment: cytokines and… (2017) · Cochrane All outcomes
RR 1.01 [0.82, 1.23]1 study · 29 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 in patients with cancer receiving treatment: cytokines and growth factors
2017 · Cochrane All outcomes
2017-05Not 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.