ReviewInternational journal of molecular sciences2025
A Review on the Current and Future State of Urinary Tract Infection Diagnostics.
Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Species-Level Reconfiguration and Retrospective Bridging Assessment of a Multiplex PCR Panel for Complicated and Recurrent Urinary Tract Infections.Current issues in molecular biology · 2026Article
- Prevalence and β-Lactam Resistance of Enterobacterales Isolated from Urinary Samples in a Regional Hospital in Poland: Special Emphasis on Elderly Population.Pathogens (Basel, Switzerland) · 2026Article
- Rapid diagnostics innovations for urinary tract infections using molecular biology, artificial intelligence and antimicrobial resistance surveillance: a comprehensive review.Molecular biology reports · 2026Review
- Multivariable Urine Flow Cytometry-Based Screening for Prediction of Urine Culture Positivity.Diagnostics (Basel, Switzerland) · 2026Article
- Antimicrobial Resistance and ESBL-Associated Predictors Among Uropathogens: A 2019-2024 Isolate-Level Study.Antibiotics (Basel, Switzerland) · 2026Article
- Analysis of Antimicrobial Use and Bacterial Susceptibility in Patients with Urinary Tract Infections at a Certain Hospital From 2021 to 2023: A Retrospective Cohort Study.International journal of general medicine · 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
3 authors.
Funding
Abstract
Urinary tract infections (UTIs) constitute a severe global health problem, placing a significant burden on healthcare systems worldwide. These infections often lead to frequent hospitalizations, sick leaves, and serious post-infectious complications. One of the most critical aspects of UTI treatment is rapid and accurate identification of pathogens, which increasingly develop resistance to commonly used antibiotics, as well as to newer ones, despite the expectation of sustained efficacy. This alarming trend signals the widespread presence of strains equipped with multiple resistance factors. In this review, attention has been drawn to the current classification of UTIs based on age, gender, risk factors, and preferred treatment strategies. Additionally, this article reviews diagnostic solutions used in this matter, starting from those applied in routine diagnostics and ending with the latest, cutting-edge approaches that are gradually coming into use. Each method varies in its specificity, sensitivity, and costs of implementation, and therefore, the limitations associated with adopting these technologies in widespread UTI diagnostics are also discussed. The review emphasizes the need for further research to optimize these innovations and integrate them into broad clinical practice, ultimately enabling more effective combat against UTIs and limiting the spread of bacterial resistance.
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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.