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ORIGINAL ARTICLE

A randomized controlled trial of a diagnostic algorithm for symptoms of uncomplicated cystitis at an out-of-hours service

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Pages 57-64 | Received 11 Apr 2014, Accepted 18 Mar 2015, Published online: 11 May 2015

Figures & data

Figure 1. Diagnostic algorithm.
Figure 1. Diagnostic algorithm.
Figure 2. Trial flow chart: RCT of diagnostic algorithm for uncomplicated cystitis at an Out-of-hours service in Oslo, Norway.
Figure 2. Trial flow chart: RCT of diagnostic algorithm for uncomplicated cystitis at an Out-of-hours service in Oslo, Norway.
Figure 3. Symptom resolution: Percentage of patients with remaining symptoms versus number of days since the start of treatment, Kaplan–Meier plot. Blue line: Treated according to the diagnostic algorithm. Green line: Treatment chosen after a doctor's consultation. P-value (log rank): 0.3.
Figure 3. Symptom resolution: Percentage of patients with remaining symptoms versus number of days since the start of treatment, Kaplan–Meier plot. Blue line: Treated according to the diagnostic algorithm. Green line: Treatment chosen after a doctor's consultation. P-value (log rank): 0.3.

Table I. Baseline demographic and clinical characteristics of consecutive female patients presenting with symptoms of urinary tract infection at an out-of-hours service in Oslo, Norway.

Table II. Bacteriological findings in urine samples of female patients presenting with symptoms of urinary tract infection at an out-of-hours service in Oslo, Norway.