Seven days of doxycycline is an effective treatment for asymptomatic rectal <i>Chlamydia trachomatis</i> infection
Bibliographic record
Abstract
There are no evidence-based guidelines for the specific management of rectal Chlamydia trachomatis (CT) infection. All men who have sex with men (MSM) diagnosed with asymptomatic rectal CT by nucleic acid amplification test (NAAT) at a large London genitourinary (GU) medicine clinic between September 2006 and September 2009 were offered oral doxycycline 100 mg twice daily for seven days and invited for a test of cure (TOC) by CT NAAT four weeks after treatment. A total of 487 asymptomatic rectal CT infections were diagnosed and analysis was restricted to 165 TOCs from men whose only treatment had been doxycycline for seven days. The median time post-treatment for TOC was 45 days (interquartile range [IQR], 34-88). Only two patients tested CT-positive at follow-up. One had taken doxycycline only for three days; the other attended for TOC 240 days after the completion of doxycycline treatment and at this time presented with new symptoms in the context of ongoing high sexual risk. Our findings show that doxycycline 100 mg twice daily for seven days is highly effective treatment for asymptomatic rectal CT infection, achieving clearance of CT in 98.8% (163/165; 95% CI 95.4-99.9%) of cases. We advocate doxycycline for seven days as first-line therapy for asymptomatic rectal CT.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".