P10.03 Anal human papillomavirus (hpv) infection and anal intraepithelial neoplasia (ain) among men who have sex with men (msm) in kuala lumpur, malaysia
Bibliographic record
Abstract
Introduction MSM in particular HIV positive MSM have an increased risk of anal cancer. There is a paucity of data regarding anal HPV infection and high grade anal intraepithelial neoplasia (HGAIN) among MSM in Malaysia. The study is part of a larger regional collaboration with sites in Bangkok, Bali and Jakarta. The aims of the study were to determine the prevalence, incidence and risk factors associated with high risk anal HPV infection and HGAIN among a cohort of MSM attending a screening site in Kuala Lumpur. Methods 3 doctors received training in high resolution anoscopy (HRA). 52 MSM participants, 26 HIV positive and 26 HIV Negative, were enrolled into the study. Participants were screened at 3 time points – at baseline, 6 months and 12 months. Each participant completed a questionnaire on demographics, smoking and sexual history. Anal sample collection was then undertaken for liquid based anal cytology and anal HPV genotyping (Linear Array). This was followed by HRA and biopsy of abnormal areas. Patients with AIN 2 or 3 were offered treatment. Each participant was also screened for syphilis (RPR nad TPPA) at each visit. Results The baseline results are presented. There were no anal cancers. The most common HPV genotype was HPV 16 in 17/52 (33%) participants. 39 (75%) had at least one high risk HPV infection. 26 (50%) had abnormal cytology. 9/52 (17%) had HGAIN (AIN 2 or 3). HGAIN correlated with high grade anal cytology (ASC-H or HSIL) in 6/9 patients. There was 1 newly diagnosed HIV infection. There were 6 incident syphilis infections. Demographic and sexual behaviour data and correlates of HGAIN will be presented. Conclusion High risk anal HPV infection and HGAIN was highly prevalent at baseline within this cohort of Asian MSM reinforcing the importance of screening within this population. Disclosure of interest The study was funded by grant from TreatAsia.
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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 | 0.000 |
| 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".