Question · asked by 1 review

Any systemic treatment vs placebo: Etanercept

Population
people with chronic plaque psoriasis
Intervention
Any systemic treatment
Comparison
placebo
Outcome
Etanercept

Any systemic treatment probably leads to higher etanercept compared with placebo (moderate certainty).

What each review found

Current versions only
No studies found 0 · 0%GRADE not reported 0 · 0%Very low 0 · 0%Low 0 · 0%Moderate 3 · 100%High 0 · 0%
FindingEffectStudiesGRADE certainty
Any systemic treatment vs placebo
Etanercept · people with chronic plaque psoriasis
Any systemic treatment probably leads to higher etanercept compared with placebo (moderate certainty).
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis (2020) · Cochrane Headline outcomes only
RR 9.72 [8.12, 11.63]14 studies · 5650 participantsModerate
Any systemic treatment vs placebo
Etanercept · people with chronic plaque psoriasis
Any systemic treatment showed no clear difference in etanercept compared with placebo (moderate certainty).
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis (2020) · Cochrane Headline outcomes only
RR 0.89 [0.61, 1.31]13 studies · 4265 participantsModerate
Any systemic treatment vs placebo
Etanercept · people with chronic plaque psoriasis
Any systemic treatment probably leads to higher etanercept compared with placebo (moderate certainty).
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis (2017) · Cochrane Headline outcomes onlyearlier version CD011535.PUB2, superseded
RR 10.79 [8.47, 13.73]12 studies · 4954 participantsModerate

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis
2020 · Cochrane Headline outcomes only
Not reportedNot extractedNot assessed
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.