Evidence map›Paper›PMID 41303333›Full record

ReviewInternational journal of molecular sciences2025

A Review on the Current and Future State of Urinary Tract Infection Diagnostics.

Łucja Dudzik, Paweł Krzyżek, Ewa Dworniczek

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Łucja DudzikThe Provincial Specialist Hospital in Włocławek, 87-800 Włocławek, Poland.
Paweł KrzyżekDepartment of Microbiology, Faculty of Medicine, Wroclaw Medical University, 50-368 Wroclaw, Poland.ORCID 0000-0002-3117-8894
Ewa DworniczekDepartment of Microbiology, Faculty of Medicine, Wroclaw Medical University, 50-368 Wroclaw, Poland.ORCID 0000-0003-1379-1107

Funding

SUBZ.A130.25.034 Wroclaw Medical University
6 · The paper itself

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.

Indexed as

Urinary Tract InfectionsAnti-Bacterial AgentsHumansRisk FactorsAnti-Bacterial Agentsantimicrobial resistancediagnosticsdiagnostic techniquesurinary tract infectionsuropathogens

Identifiers

PMID41303333
PMCPMC12652086

What OpenQuestion holds

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Registered trials

None linked

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.