European Association of Urology Guidelines on Urological Infections: Summary of the 2024 Guidelines
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Urological infections significantly impact individuals' well-being and quality of life due to their widespread occurrence and diverse clinical manifestations. This work aims to provide evidence-based guidance on diagnosing, treating, and preventing urinary tract infections (UTIs) and male accessory gland infections, while addressing crucial public health aspects related to infection control and antimicrobial stewardship. METHODS: For the 2026 Urological Infections Guidelines, new and relevant evidence was identified, collated, and appraised through a structured assessment of the literature. Databases searched included Medline, EMBASE, and the Cochrane Library. Recommendations within the Guidelines were developed by the panels to prioritise clinically important care decisions. The strength of each recommendation is determined by the balance between desirable and undesirable consequences of alternative management strategies, the quality of the evidence (including certainty of estimates), and the nature and variability of patient values and preferences. KEY FINDINGS AND LIMITATIONS: Key recommendations emphasise the importance of thorough medical history and physical examination for patients with urological infections. The guidelines stress the role of antimicrobial stewardship to combat the rising threat of antimicrobial resistance, providing recommendations for antibiotic selection, dosing, and duration based on the latest evidence. Key updates in the 2026 Urological Infections Guidelines summary include: comprehensive restructuring of the guideline framework in alignment with the new classification system for UTIs; the addition of a new chapter on the diagnosis and management of Herpes simplex virus; the addition of a new chapter on the diagnosis and treatment of fungal UTIs; and an update of the evidence and recommendations on periprocedural antibiotic prophylaxis for prostate biopsy. CONCLUSIONS AND CLINICAL IMPLICATIONS: This overview of the 2026 European Association of Urology (EAU) guidelines offers valuable insights into the classification, diagnosis, and treatment of urological infections and is designed to be effectively integrated into clinical practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.050 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.013 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".