Question · asked by 1 review

Summary of findings: continuous cycles alternating aztreonam lysine for inhalation with tobramycin for inhalation solution vs continuous cycles alternating placebo with tobramycin: Survival

Population
adults and children with cystic fibrosis and a positive microbiological isolate of P aeruginosa from a respiratory tract specimen
Intervention
Summary of findings: continuous cycles alternating aztreonam lysine for inhalation with tobramycin for inhalation solution
Comparison
continuous cycles alternating placebo with tobramycin
Outcome
Survival

The review found no eligible studies for this question.

What each review found

Current versions only
No studies found 2 · 100%GRADE not reported 0 · 0%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
FindingEffectStudiesGRADE certainty
Summary of findings: continuous cycles alternating aztreonam lysine for inhalation with tobramycin for inhalation solution vs continuous cycles alternating placebo with tobramycin
Survival · children and adults with CF and P aeruginosa
The review found no eligible studies for this question.
Inhaled anti‐pseudomonal antibiotics for long‐term therapy in cystic fibrosis (2022) · Cochrane Headline outcomes only
no estimate extractedNot reportedNo studies found
Summary of findings: continuous cycles alternating aztreonam lysine for inhalation with tobramycin for inhalation solution vs continuous cycles alternating placebo with tobramycin
Survival · children and adults with CF and P aeruginosa
The review found no eligible studies for this question.
Inhaled anti‐pseudomonal antibiotics for long‐term therapy in cystic fibrosis (2018) · Cochrane Headline outcomes onlyearlier version CD001021.PUB3, superseded
no estimate extractedNot reportedNo studies found

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Inhaled anti‐pseudomonal antibiotics for long‐term therapy in cystic fibrosis
2022 · 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.