HIV-Positive MSM’s Knowledge of HPV and Anal Cancer Self-Sampling: A Scoping Review
Bibliographic record
Abstract
Human papillomavirus (HPV) infection is the cause of anal squamous cell cancer (ASCC) in 80% of cases. Available research has also shown high prevalence of anal HPV infection among men who have sex with men (MSM). However, HPV vaccination is low among msm in Canada. In light of this information, we conducted a scoping review with the aim of exploring (1) the knowledge of HPV and anal cancer among HIV-positive msm and (2) the acceptability of HPV and anal cancer self-sampling in this population. In conducting the review, we searched five electronic databases for peer-reviewed articles and abstracts published in English, between 2007 and 2017. A total of 803 articles were retrieved; after accounting for duplicates (n = 40) and unmet criteria (n = 754), a total of 794 articles were excluded. A final total of nine articles were used in this review. Results of this review show that HIV-positive msm have limited knowledge regarding the risks of anal cancer associated with HIV and HPV coinfection. Furthermore, there is limited research on HPV and anal cancer self-sampling in this population. However, the review of available studies suggested that HIV-positive msm were open to anal cancer self-sampling. It also identified potential barriers to self-sampling. In conclusion, we provide suggestions and future directions for policy-makers and educators to develop inclusive and accessible strategies to reach HIV-positive msm regarding anal cancer education and self-screening.
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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 | 0.007 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".