Evidence map›Paper›PMID 40251593›Full record

ArticleInfectious agents and cancer2025

Cost-benefit analysis of p16

Dachuang Zhou, Jun Hou, Jiayi Xi, Yuan Li, Xinfeng Qu, Wenxi Tang, Ruifang Wu

Abstract read
In one paragraph

Article in Infectious agents and cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dachuang Zhou *Department of Pharmacoeconomics, School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China.
Jun Hou *Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, 518036, China.
Jiayi XiDepartment of Pharmacoeconomics, School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China.
Yuan LiDepartment of Pharmacoeconomics, School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China.
Xinfeng QuDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, 518036, China. steve1005@icloud.com.
Wenxi TangDepartment of Pharmacoeconomics, School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China. tokammy@cpu.edu.cn.
Ruifang WuDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, 518036, China. wurf100@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHPV testing has become the recommended primary screening method for cervical cancer in China. However, referring all HPV-positive patients for colposcopy is not practical. This study monetized clinical performance metrics to evaluate the relative performance of 10 secondary triage strategies compared to referring all patients for colposcopy.

methodsUsing real-world HR-HPV sample data and strictly adhering to the HPV-FRAMEWORK, a Markov model was employed to simulate the missed diagnosis losses and health utility losses associated with referring all patients for colposcopy. These losses were monetized using one-time 2023 per capita GDP in China. Incremental net benefits of secondary triage strategies were calculated to identify the optimal strategy. Extensive sensitivity analyses were conducted to assess parameter and sample uncertainty. Additionally, the technical suitability of strategies was explored in the context of healthcare resource allocation in China.

resultsSolely relying on HPV genotyping for secondary triage is not recommended, and necessary secondary triage testing should be implemented. p16 performed better than LBC, particularly in the overall sample and in most age groups. The strategy of HPV16/18+ or (OH-HPV+ and p16+) was the most attractive, with an incremental net benefit of US$492,473.78 compared to referring all patients for colposcopy. Extensive sensitivity analyses confirmed the robustness of these results. Considering healthcare resource allocation in China, p16 demonstrated higher technical suitability.

conclusionBased on real-world sample data and the monetization of clinical performance metrics, this study recommends p16 as the secondary triage technology. The HPV16/18+ or (OH-HPV+ and p16+) strategy is not only the most attractive but also holds high potential for large-scale implementation in China.

Indexed as

Cervical cancerCost–benefit analysisLiquid-based cytologyMachine learningp16INK4a immunocytology

Identifiers

PMID40251593
PMCPMC12007143

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.