A preliminary cost-effectiveness analysis of human papillomavirus vaccination in males for the prevention of oropharyngeal cancer.
Bibliographic record
Abstract
6033 Background: Many western countries have established female human papillomavirus (HPV) vaccination programmes for prevention of cervix cancer. Efficacy against additional HPV-related disease is proven in both sexes, but cost-effectiveness of male vaccination remains controversial. Projected figures suggest incidence and prevalence of oropharyngeal cancer (OPC) in North America will exceed that of cervix cancer by 2020 due to HPV-related cases. Two cost-effectiveness analyses evaluating male HPV vaccination have included OPC, with contrasting results. The Canadian government recommends, but does not fund, male vaccination. In order to assess the value for money of male HPV vaccination in Canada with respect to OPC, we performed a preliminary cost-effectiveness analysis. Methods: Following extensive literature review regarding HPV-related OPC in Canadian males, healthcare cost and clinical effectiveness estimates were obtained from published studies. A Markov model was used to compare potential costs and effectiveness of HPV vaccination against no vaccination among males aged 12 years old. A 3-month cycle length was used with a ‘lifetime’ time horizon. The outcome of the analysis was the incremental cost per quality-adjusted life-year (QALY). Sensitivity analyses were conducted on variables such as vaccine uptake rate and efficacy. Results: Assuming 99% vaccine efficacy and 70% uptake, the use of HPV vaccine produced 0.05 more QALYs and saved $204 Canadian dollars (CAD) per person compared with no vaccine (QALYs and costs discounted at 5% per year). Assuming 50% vaccine efficacy and 50% uptake, use of HPV vaccine produced 0.01 more QALYs and saved $43 CAD. Based on a population of 12 year old males of 192,940 in 2012, male HPV vaccination may potentially save $8.3-39.4 million CAD for this cohort over its lifetime. Conclusions: Knowledge gaps exist regarding male HPV vaccination for OPC prevention. Due to practical limitations, including lack of identifiable precursor lesions in OPC, clinical trials to evaluate this issue may not be feasible. Without considering the effects of herd immunity, this preliminary analysis highlights potential savings from male vaccination.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.009 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".