Question · asked by 1 review
Oral ciprofloxacin and inhaled colistin vs inhaled tobramycin (TNS) plus oral ciprofloxacin: Isolation of other micro‐organisms from the respiratory tract: number of positive cultures per patient year
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Inhaled colistin plus oral ciprofloxacin vs inhaled tobramycin (TNS) plus oral ciprofloxacin Isolation of other micro‐organisms from the respiratory tract: number of positive cultures per patient year · 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 extracted | 1 study · 205 participants | Moderate |
Inhaled colistin plus oral ciprofloxacin vs inhaled tobramycin plus oral ciprofloxacin Isolation of other micro‐organisms from the respiratory tract: number of positive cultures per patient year · 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aeruginosa in people with cystic fibrosis (2017) · Cochrane Headline outcomes onlyearlier version CD004197.PUB5, superseded | no estimate extracted | 1 study · 2051 participants | Moderate |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Antibiotic strategies for eradicating Pseudomonas aeruginosa in people with cystic fibrosis 2023 · Cochrane Headline outcomes only | Not reported | list not extracted yet | Not assessed |
Studies behind the findings
None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.
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.