Feasibility of Incorporating Self-Collected Rectal Swabs Into a Community Venue-Based Survey to Measure the Prevalence of HPV Infection in Men Who Have Sex With Men
Bibliographic record
Abstract
BACKGROUND: Inclusion of self-collected rectal swabs (SCRS) into existing community venue-based HIV surveillance systems for men who have sex with men (MSM) may provide a feasible method for monitoring human papillomavirus (HPV) vaccine-related outcomes in this population. We measured the prevalence of HPV and anal dysplasia through incorporating SCRS into ManCount, the Vancouver site of the M-Track HIV surveillance system. METHODS: Participating MSM were provided with a self-collection kit for collection on-site or at a follow-up venue. Swabs were subject to polymerase chain reaction amplification for HPV detection, and cytology slides were reviewed for anal dysplasia. Factors associated with participation were identified through multivariate logistic regression. RESULTS: Of 766 men completing ManCount, 268 (35%) agreed to participate, self-collecting 252 specimens (247 on-site). Of 239 complete specimens, 33.5% did not have detectable β-globin; in the remainder (159 specimens) the prevalence of HPV infection was 62.3% (23.3% HPV type 16 or 18; 38.4% HPV type 6, 11, 16, or 18). In the 62.3% (149) of specimens adequate for cytology, the prevalence of anal dysplasia was 42.3% (HSIL 11.4%, LSIL 18.8%, ASC-US 6.7%, ASC-H 5.4%). Participation was associated with venue type, availability of on-site collection, and other characteristics. CONCLUSIONS: SCRS can be feasibly integrated within existing community venue-based HIV surveillance systems for MSM, and may be a suitable method for monitoring the impact of HPV vaccination in this population. However, participation may be influenced by venue type and availability of on-site collection, and adequacy of SCRS specimens may be lower in community venues as compared with clinical settings.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".