Single-day famciclovir therapy for recurrent genital herpes
Bibliographic record
Abstract
BACKGROUND: Genital herpes is a lifelong incurable viral infection that can have a significant psychological and emotional impact on patients. A common therapy for treating recurrent outbreaks is the episodic use of nucleoside analogues for 3-5 days. However, since maximum viral replication occurs within 24 h after symptoms first appear, the best option may be short-term, patient-initiated episodic therapy, administered during the onset of prodromal symptoms. This commentary will examine the results of a recent clinical trial of patient-initiated episodic famciclovir therapy that is administered for a single day and compare efficacy data from that trial with data from trials of currently prescribed antiviral therapies. FINDINGS: This recent trial that evaluated the efficacy of single-day famciclovir compared to placebo in the treatment of recurrent genital herpes found that famciclovir decreased time to lesion healing and duration of symptoms, and increased the proportion of patients who did not progress to a full outbreak. Although no head-to-head studies have been completed, single-day famciclovir therapy seems to provide improvement that is similar to or better than that associated with traditional longer-term treatments. CONCLUSION: The increased convenience for the patient of single-day therapy may lead to improved patient compliance and better overall management of recurrent genital herpes outbreaks.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".