ArticleInternational urogynecology journal2025
Unnecessary Antibiotics in Older Female Patients with Recurrent Urinary Tract Infections.
Article in International urogynecology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Rising antimicrobial resistance in urinary tract infections in Türkiye: an urgent need for update on regional treatment strategies and for enhanced antimicrobial stewardship efforts.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Letter to editor: Unnecessary Antibiotics in Older Female Patients with Recurrent Urinary Tract Infection.International urogynecology journal · 2026Article
- Development and implementation of a nurse-led clinical decision support tool for urinary tract infection.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionOur aim was to describe the rate of unnecessary antibiotic prescriptions across specialties and the frequency of clinical scenarios in which the unnecessary antibiotics were prescribed in older female patients with recurrent urinary tract infections (UTI).
methodsThis was a retrospective cohort study of female patients 65 or older with a clinical diagnosis of recurrent UTI. An unnecessary antibiotic was defined as an antibiotic prescribed (i) for asymptomatic bacteriuria (positive culture in the absence of UTI-specific symptoms), (ii) in the absence of UTI-specific symptoms, or (iii) in the presence of documented negative urine culture or negative pyuria. Data on clinical scenarios during episodes when an unnecessary antibiotic was prescribed (such as symptom documentation, urine testing) were extracted and described.
resultsThe overall rate of unnecessary antibiotics across 454 episodes of antibiotic prescriptions in 175 older female patients with recurrent UTI was 41% and did not significantly differ between specialties (primary care 45%, urogynecology 41%, obstetrics-gynecology 29%, urology 28%, urgent care 27%, p = 0.06). The commonest clinical scenario during which an unnecessary antibiotic was prescribed was absence of documented UTI-specific symptoms (60%) followed by asymptomatic bacteriuria (46%). Other clinical scenarios associated with unnecessary antibiotics included antibiotics prescribed with documented negative pyuria (32%) or negative urine culture (18%). In 11% of episodes, antibiotics were prescribed without any documented UTI-specific symptom and without any testing.
conclusionInadequate symptom documentation and inappropriate urine testing contribute to a high rate of unnecessary antibiotic prescribing in older female patients with recurrent UTI. Clinical decision support tools that address these gaps could promote antibiotic stewardship.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.