Trial reportEuropean journal of epidemiology2007
Prediction of complicated urinary tract infections in patients with type 2 diabetes: a questionnaire study in primary care.
Trial report in European journal of epidemiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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
4 citing papers in PubMed, 10 citations in OpenAlex.
- Explainable ensemble machine learning for predicting diabetes mellitus and identifying key risk factors: a population-based study in northern Bangladesh.Scientific reports · 2026Article
- Development and validation of a prediction model for urinary tract infection in older patients with type 2 diabetes mellitus.Frontiers in endocrinology · 2026Article
- Unmet Needs in Complicated Urinary Tract Infections: Challenges, Recommendations, and Emerging Treatment Pathways.Infection and drug resistance · 2023Review
- Prevalence of urinary tract infection and risk factors among Saudi patients with diabetes.World journal of urology · 2013Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRelatively few data are available to predict a complicated course of community-acquired complicated urinary tract infections (UTIs) in patients with diabetes type 2 (DM2). The aim of this study was to assess predictors for a complicated course of UTIs in DM2 patients in primary care.
methodWe conducted a cross-sectional questionnaire study among DM2 patients aged over 45 years as part of an educational trial. The combined outcome measure was a complicated course of UTI, defined as a self-reported episode of acute pyelonephritis, prostatitis or recurrent cystitis in the 12 months before the trial. Patients with an outcome were all verified by review of medical records. A prediction model was derived with multivariable logistic regression analysis.
resultsOf the 1151 trial participants, 94 (8%) had a self-reported community-acquired complicated course of UTIs and 62 (66%) of these were medically-attended. Independent predictors for a complicated course were age above 60 years (adjusted odds ratio (OR): 1.74; 95% confidence interval (CI): 0.99-3.03), chronic use of antibiotics (adjusted OR: 5.50; 95% CI: 2.31-13.08), more than 6 physician contacts in previous year (adjusted OR: 3.60; 95% CI: 2.00-6.49), hospitalization in previous year (adjusted OR: 1.36; 95% CI: 1.00-1.85), renal disease (adjusted OR: 4.92; 95% CI: 1.59-15.18) and incontinence of urine (adjusted OR: 3.78; 95% CI: 1.93-7.38). Area under the receiver-operating curve was 0.72 (95% CI: 0.66-0.78). Analysis according to medically attended complicated UTIs did not change our findings.
conclusionEasily obtainable predictors from medical history can be used to accurately predict a complicated course of UTIs in DM2 patients.
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