High Recurrence Rates of Bacterial Vaginosis over the Course of 12 Months after Oral Metronidazole Therapy and Factors Associated with Recurrence
Bibliographic record
Abstract
BACKGROUND: We wished to determine recurrences of bacterial vaginosis (BV) after treatment over the course of 12 months and to establish factors associated with recurrence. METHODS: Women with symptomatic BV (a Nugent score [NS] of 7-10 or of 4-6 with >or=3 Amsel criteria) were enrolled. BV was treated with 400 mg of oral metronidazole twice a day for 7 days. Participants completed a questionnaire and vaginal swabs were collected at 1, 3, 6, and 12 months; the study end point was an NS of 7-10. RESULTS: A total of 121 (87%) women with an NS of 7-10 and 18 (13%) with an NS of 4-6 and >or=3 Amsel criteria were enrolled; 130 (94%) returned >or=1 vaginal samples. Sixty-eight women (58% [95% confidence interval {CI}, 49%-66%]) had a recurrence of BV (NS 7-10), and 84 (69% [95% CI, 61%-77%]) had a recurrence of abnormal vaginal flora (NS 4-10) by 12 months. A past history of BV, a regular sex partner throughout the study, and female sex partners were significantly associated with recurrence of BV and abnormal vaginal flora by multivariate analysis; the use of hormonal contraception had a negative association with recurrence. CONCLUSION: Current recommended treatment is not preventing the recurrence of BV or abnormal vaginal flora in the majority of women; factors associated with recurrence support a possible role for sexual transmission in the pathogenesis of recurrent BV.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".