Managing Genital Herpes: A Mini-review for Urologists from the European Association of Urology Guidelines Panel for Urological Infections
Bibliographic record
Abstract
Genital herpes (GH) is a prevalent, lifelong, sexually transmitted infection caused by herpes simplex virus types 1 and 2. Although traditionally managed by dermatologists and infectious disease specialists, GH is increasingly relevant to urologists owing to its clinical complexity and psychosocial impact. This mini-review by the European Association of Urology Guidelines Panel for Urological Infections summarizes updated evidence on GH epidemiology, diagnosis, treatment, and prevention strategies. Diagnosis remains challenging because of atypical presentations; polymerase chain reaction is the preferred diagnostic test. Management mainly relies on nucleoside analogs, with new therapies under investigation. Suppressive treatment reduces recurrences and transmission. Routine screening of asymptomatic individuals is not recommended. Effective counseling and partner notification are critical components of care. PATIENT SUMMARY: Patients with genital herpes should receive clear information on the nature of the infection, the diagnostic process, and treatment options and preventive strategies. Urologists must play a key role in managing symptoms, reducing the risk of transmission, and supporting patients through education and counseling.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".