Antibiotic 1 vs antibiotic 2: Recurrence of symptomatic UTI: cotrimoxazole (1) versus cefprozil (2)
Antibiotic 1 showed no clear difference in recurrence of symptomatic UTI: cotrimoxazole (1) versus cefprozil (2) compared with antibiotic 2 (moderate certainty).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Antibiotic 1 vs antibiotic 2 Recurrence of symptomatic UTI: cotrimoxazole (1) versus cefprozil (2) · children with primarily normal renal tracts who have experienced at least one UTI Antibiotic 1 showed no clear difference in recurrence of symptomatic UTI: cotrimoxazole (1) versus cefprozil (2) compared with antibiotic 2 (moderate certainty). Long‐term antibiotics for preventing recurrent urinary tract infection in children (2019) · Cochrane Headline outcomes only | RR 0.69 [0.2, 2.39] | 1 study · 55 participants | Moderate |
Antibiotic 1 vs antibiotic 2 Recurrence of symptomatic UTI: nitrofurantoin (1) versus cotrimoxazole (2) · children with primarily normal renal tracts who have experienced at least one UTI Antibiotic 1 probably leads to lower recurrence of symptomatic UTI: nitrofurantoin (1) versus… compared with antibiotic 2 (moderate certainty). Long‐term antibiotics for preventing recurrent urinary tract infection in children (2019) · Cochrane Headline outcomes only | RR 0.57 [0.35, 0.92] | 2 studies · 157 participants | Moderate |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Long‐term antibiotics for preventing recurrent urinary tract infection in children 2019 · 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.