Etiology and Determinants of Sexually Transmitted Infections in Karnataka State, South India
Bibliographic record
Abstract
BACKGROUND: Syndromic case management remains the cornerstone for STI (sexually transmitted infection) treatment in many countries. We undertook this study to better understand the etiology of STIs in adults in south India and to inform STI management guidelines. METHODS: Adult males and females presenting with genital complaints were recruited from clinics in Karnataka state, south India. A questionnaire was administered, physical examination performed, and blood collected for herpes simplex virus-type 2 (HSV-2) and syphilis serology. Men with urethral discharge (UD) and women with vaginal discharge were tested for Neisseria gonorrhoeae (NG), Chlamydia trachomatis (CT) and Trichomonas vaginalis (TV). Vaginal swabs were also tested for bacterial vaginosis and yeast infection. Participants with genital ulcers were tested for Treponema pallidum (TP), Haemophilus ducreyi (HD), and HSV-2. human immunodeficiency virus (HIV) testing was offered to all individuals. RESULTS: There were 401 male and 412 female participants, and rates of HIV infection were high (men, 17%; women, 15%). HSV-2 was significantly associated with HIV in men and women. Among men with the complaint of UD, NG was identified in 35%, CT in 10.5%, and TV in 8.5%. Very little NG or CT was detected among women with vaginal discharge. However, bacterial vaginosis was identified in approximately 40% of women, with significant amounts of TV and Candida also detected. HSV-2 was the most commonly identified pathogen among participants with genital ulcer disease, and the clinical distinction of herpetic versus nonherpetic lesions was not helpful. CONCLUSIONS: Current STI management guidelines should be reevaluated in south India. Consideration should be given to treating all persons with GUD for both HSV-2 and syphilis, and to adding initial treatment for TV for men with UD in areas of high background prevalence of HSV-2 and TV, respectively. This population is at high risk for HIV, and should be counseled and tested appropriately.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".