Brief Report: Persistence of Non-Vaccine Oncogenic HPV Genotypes in Quadrivalent HPV-Vaccinated Women Living With HIV
Bibliographic record
Abstract
BACKGROUND: Human papillomavirus (HPV) vaccines have promising safety and immunogenicity data in women living with HIV (WLWH). However, it is critical to understand the residual burden of oncogenic HPV within WLWH to inform postvaccination cervical screening needs. We assessed rates of persistent infection with nonquadrivalent HPV (qHPV) oncogenic types in a cohort of qHPV-vaccinated WLWH. SETTING: Multicentre, longitudinal cohort across Canada. METHODS: WLWH were scheduled to receive 3 doses of qHPV vaccine. Participants provided health data and HPV DNA samples. Persistent cases of HPV were defined as new HPV in samples from ≥2 consecutive visits or as HPV present in the last sample. HPV31/33/35/39/45/51/52/56/58/59/68/82 were considered to have oncogenic potential. Median follow-up time was 4 years after initial vaccine dose. RESULTS: A total of 284 participants were eligible for this analysis with 1205 person-years (PY) of follow-up (≥1 dose of vaccine, ≥1 HPV DNA result after vaccination). The highest incidence of persistent infection was with HPV51 (1.38/100 PY), followed by HPV52 (1.18/100 PY), and HPV39 (1.06/100 PY). The incidence of persistent infection with pooled HPV types added in the nonavalent vaccine (HPV31/33/45/52/58) was lower than the incidence of persistent oncogenic HPV types not contained within available vaccines (HPV35/39/51/56/59/68) (2.4/100 PY versus 3.6/100 PY, respectively). CONCLUSIONS: qHPV-vaccinated WLWH continue to face a burden of persistent oncogenic HPV infection. Although the nonavalent vaccine could alleviate some of this burden, 2 of the top 3 persistent oncogenic HPVs in this cohort are not contained within any available vaccine. This highlights the need for ongoing cervical screening in HPV-vaccinated WLWH.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".