Periodic presumptive treatment of curable sexually transmitted infections among sex workers
Bibliographic record
Abstract
BACKGROUND: Unprotected sex work remains a major driver of HIV/sexually transmitted infection (STI) epidemics in many countries. STI treatment can lower disease burden, complications and prevalence of HIV cofactors. Periodic presumptive treatment (PPT) has been used with sex workers to reduce their high burden of largely asymptomatic STIs. The objective of this review is to assess benefits and harms of PPT among female sex workers. METHODS: We searched MEDLINE for studies related to sex work and STIs during 1990-2010, extracted data from eligible studies in duplicate and conducted meta-analysis by study design using random effects models. RESULTS: Two thousand, three hundred and fifteen articles were screened, 18 studies met inclusion criteria and 14 were included in meta-analyses. One published randomized controlled trial (RCT) reported significant reductions of gonorrhoea (Neisseria gonorrhoeae) [rate ratio (RR) 0.46, 95% confidence interval (CI) 0.31-0.68] and chlamydia (Chlamydia trachomatis) (RR 0.38, 95%CI 0.26-0.57), but no effect on serologic syphilis (RR 1.02, 95%CI 0.54-1.95). Similar results were seen for N. gonorrhoeae and C. trachomatis in pooled analyses, including data from one unpublished RCT and across study designs, and correlated with initial prevalence (R(2) = 0.155). One observational study reported genital ulcer disease (GUD) declines in sex workers, and two reported impact among male client populations for N. gonorrhoeae [odds ratio (OR) 0.60, 95% CI 0.38-0.94], C. trachomatis (OR 0.47, 95% CI 0.31-0.71) and GUD (OR 0.21, 95% CI 0.11-0.42). No studies reported evidence of risk compensation or antibiotic resistance. CONCLUSION: PPT can reduce prevalence of gonorrhoea, chlamydia and ulcerative STIs among sex workers in whom prevalence is high. Sustained STI reductions can be achieved when PPT is implemented together with peer interventions and condom promotion. Additional benefits may include impact on STI and HIV transmission at population level.
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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 | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".