Racial Disparities in Anal Cancer Screening Among Men Living With HIV: Findings From a Clinical Cohort Study
Bibliographic record
Abstract
BACKGROUND: Our objective was to quantify the extent of anal cancer screening among men receiving HIV specialty care in Ontario, Canada, and evaluate factors associated with screening. SETTING: Cross-sectional questionnaire within a multisite clinical HIV cohort. METHODS: A questionnaire assessing knowledge and experience with human papillomavirus-associated diseases and their prevention was administered in 2016-2017 to 1677 men in the Ontario HIV Treatment Network Cohort Study. We used logistic regression to identify factors associated with having discussed screening with a health care provider and self-reported receipt of screening [digital anal rectal examinations (DARE); anal cytology or anoscopy]. Results reported as adjusted odds ratios (aORs) with 95% confidence intervals (CIs). RESULTS: Forty percent of men reported ever having had anal cytology/anoscopy, and 70% had ever had DARE. After accounting for differences in age, sexual orientation, years since HIV diagnosis, previous diagnosis with AIDS, knowing someone with human papillomavirus-associated cancer, comfort discussing anal health, education, and income, the proportion screened differed by self-identified race. Compared with white men, Asian men were less likely to have discussed screening with a health care provider (aOR = 0.48; 95% CI: 0.29 to 0.80) or to have been screened by DARE (aOR = 0.27; 95% CI: 0.17 to 0.44) or anal cytology/anoscopy (aOR = 0.51; 95% CI: 0.31 to 0.83), and African, Caribbean, or black men (aOR = 0.47; 95% CI: 0.31 to 0.70) were less likely to have had DARE. Results were consistent when restricting the analyses to gay, bisexual, and other men who have sex with men. CONCLUSION: Our findings highlight the potential for disparities in anal cancer screening that need to be considered when developing guidelines and screening programs to reduce the burden of anal cancer among men living with HIV and ensure health equity.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".