Question · asked by 1 review

Oral ciprofloxacin and inhaled colistin vs inhaled tobramycin (TNS) plus oral ciprofloxacin: Adverse effects of antibiotics: leading to trial discontinuation

Population
adults and children with cystic fibrosis and a positive microbiological isolate of P aeruginosa from a respiratory tract specimen
Intervention
Oral ciprofloxacin and inhaled colistin
Comparison
inhaled tobramycin (TNS) plus oral ciprofloxacin
Outcome
Adverse effects of antibiotics: leading to trial discontinuation

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 2 · 100%High 0 · 0%
FindingEffectStudiesGRADE certainty
Inhaled colistin plus oral ciprofloxacin vs inhaled tobramycin (TNS) plus oral ciprofloxacin
Adverse effects of antibiotics: leading to trial discontinuation · adults and children with cystic fibrosis and a positive microbiological isolate of P aeruginosa from a respiratory…
Antibiotic strategies for eradicating Pseudomonas aeruginosa in people with cystic fibrosis (2023) · Cochrane Headline outcomes only
no estimate extracted1 study · 223 participantsModerate
Inhaled colistin plus oral ciprofloxacin vs inhaled tobramycin plus oral ciprofloxacin
Adverse effects to antibiotics: leading to trial discontinuation · adults and children with cystic fibrosis and a positive microbiological isolate of P aeruginosa from a respiratory…
Antibiotic strategies for eradicating Pseudomonas aeruginosa in people with cystic fibrosis (2017) · Cochrane Headline outcomes onlyearlier version CD004197.PUB5, superseded
no estimate extracted1 study · 223 participantsModerate

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Antibiotic strategies for eradicating Pseudomonas aeruginosa in people with cystic fibrosis
2023 · 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.