Potential cost‐effectiveness of the nonavalent human papillomavirus (HPV) vaccine
Bibliographic record
Abstract
Randomized clinical trials are currently examining the efficacy of a nonavalent human papillomavirus (HPV) vaccine, including HPV-types 6/11/16/18/31/33/45/52/58. Evidence on the cost-effectiveness of the nonavalent is required for timely policy-decisions. We compared the potential cost-effectiveness of the nonavalent and quadrivalent HPV vaccines. We used a multi-type individual-based transmission-dynamic model of HPV infection and diseases, 70-year time-horizon, 3% discount rate and healthcare payer perspective. We calibrated the model to Canadian sexual behavior and epidemiologic data, and estimated Quality-Adjusted Life-Years (QALYs) lost and costs ($CAN 2010) from the literature. Under base-case assumptions (vaccinating 10-year-old girls, 80% coverage, 95$/dose, vaccine-type efficacy = 95%, cross-protection for the quadrivalent vaccine, duration of vaccine-type protection (cross-protection) = 20 (10) years), using the quadrivalent and nonavalent vaccines is estimated to cost $15,528 [12,056; 19,140] and $12,203 [9,331; 17,292] per QALY-gained, respectively. At equal price, the nonavalent vaccine is more cost-effective than the quadrivalent vaccine, even when assuming both shorter duration of protection (nonavalent = 20 years vs. quadrivalent = lifelong) and lower vaccine-type efficacy (nonavalent = 85% vs. quadrivalent = 95%). However, the additional cost per dose of the nonavalent vaccine should not exceed $11 to remain more cost-effective than the quadrivalent vaccine, and $24 to represent a cost-effective alternative to the quadrivalent vaccine (using a $40,000/QALY-gained threshold). The nonavalent vaccine can be a cost-effective alternative to the quadrivalent vaccine, even in scenarios where nonavalent vaccine efficacy is 85%. However, because most cervical cancers are caused by HPV-16/18, it is unlikely that the nonavalent would be used if its efficacy against these types is lower than current HPV vaccines.
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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 | 0.009 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".