Cost-effectiveness of p16/Ki-67 Dual-Stained Cytology Reflex Following Co-testing with hrHPV Genotyping for Cervical Cancer Screening
Bibliographic record
Abstract
The first biomarker-based cervical cancer screening test, p16/Ki-67 dual-stained cytology (DS), has been clinically validated and approved in the United States for triage of women being screened for cervical cancer who test positive for high-risk human papillomavirus (hrHPV). The primary aim of this work is to evaluate the cost-effectiveness of DS triage after co-testing findings of positive non-16/18 HPV types and atypical squamous cells of undetermined significance or low-grade squamous intraepithelial lesions cytology. A payer-perspective Markov microsimulation model was developed to assess the impact of DS reflex testing. Each comparison simulated 12,250 screening-eligible women through health states defined by hrHPV status and genotype, cervical intraepithelial neoplasia grades 1-3, invasive cervical cancer (ICC) by stage, and cancer-related or non-cancer death. Screening test performance data were from the IMPACT clinical validation trial. Transition probabilities were from population and natural history studies. Costs of baseline medical care, screening visits, tests, procedures, and ICC were included. DS reflex after co-testing was cost-effective with incremental cost-effectiveness ratios per quality-adjusted life-year gained of $15,231 [95% confidence interval (CI), $10,717-$25,400] compared with co-testing with hrHPV pooled primary and genotyped reflex testing, and $23,487 (95% CI, $15,745-$46,175) compared with co-testing with hrHPV genotyping with no reflex test. Screening and medical costs and life-years increased, while ICC costs and risk of ICC death decreased. Incorporating DS reflex into co-testing cervical cancer screening algorithms is projected to be cost-effective. PREVENTION RELEVANCE: The p16/Ki-67 dual-stained cytology (DS) test was recently approved in the United States as a reflex test for cervical cancer screening following positive high-risk human papillomavirus (hrHPV) test results. Adding DS reflex to hrHPV and cervical cytology co-testing strategies in the United States is expected to be cost-effective per life-year or quality-adjusted life-year gained.
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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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".