Your browser doesn't support javascript.
loading
Cost-effectiveness of artificial intelligence-assisted liquid-based cytology testing for cervical cancer screening in China.
Shen, Mingwang; Zou, Zhuoru; Bao, Heling; Fairley, Christopher K; Canfell, Karen; Ong, Jason J; Hocking, Jane; Chow, Eric P F; Zhuang, Guihua; Wang, Linhong; Zhang, Lei.
Afiliación
  • Shen M; China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, China.
  • Zou Z; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi 710061, China.
  • Bao H; China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, China.
  • Fairley CK; Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Canfell K; National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Ong JJ; China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, China.
  • Hocking J; Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia.
  • Chow EPF; Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.
  • Zhuang G; Cancer Research Division, Cancer Council NSW, 153 Dowling Street, Woolloomooloo, Sydney, NSW 2011, Australia.
  • Wang L; Prince of Wales Clinical School, The University of New South Wales, Sydney, NSW, Australia.
  • Zhang L; School of Public Health, University of Sydney, Sydney, NSW, Australia.
Lancet Reg Health West Pac ; 34: 100726, 2023 May.
Article en En | MEDLINE | ID: mdl-37283979
ABSTRACT

Background:

The 2021 World Health Organization (WHO) guidelines for cervical cancer screening recommend human papillomavirus (HPV) DNA or mRNA testing. Artificial intelligence (AI)-assisted liquid-based cytology (LBC) systems also have the potential to facilitate rapid scale-up of cervical cancer screening. We aimed to evaluate the cost-effectiveness of AI-assisted LBC testing, compared with the manual LBC and HPV-DNA testing, for primary cervical cancer screening in China.

Methods:

We developed a Markov model for a cohort of 100,000 women aged 30 years over a lifetime to simulate the natural history of cervical cancer progression. We evaluated the incremental cost-effectiveness ratios (ICER) of 18 screening strategies (a combination of the three screening methods with six screening frequencies) from a healthcare provider's perspective. The willingness-to-pay threshold (US$30,828) was chosen as three times the Chinese per-capita gross domestic product in 2019. Univariate and probabilistic sensitivity analyses were performed to examine the robustness of the results.

Findings:

Compared with no screening, all 18 screening strategies were cost-effective, with an ICER of $622-24,482 per quality-adjusted life-year (QALY) gained. If HPV testing after scaling up to population level screening costs $10.80 or more, screening once every 5 years using AI-assisted LBC would be the most cost-effective strategy with an ICER of $8790/QALY gained compared with the lower-cost non-dominated strategy on the cost-effectiveness frontier. Its probability of being cost-effective was higher (55.4%) than other strategies. Sensitivity analyses showed that the most cost-effective strategy would become AI-assisted LBC testing once every 3 years if the sensitivity (74.1%) and specificity (95.6%) of this method were both reduced by ≥10%. The most cost-effective strategy would become HPV-DNA testing once every 5 years if the cost of AI-assisted LBC was more expensive than manual LBC or if the HPV-DNA test cost is slightly reduced (from $10.8 to <$9.4).

Interpretation:

AI-assisted LBC screening once every 5 years could be more cost-effective than manually-read LBC. Using AI-assisted LBC could have comparable cost-effectiveness to HPV DNA screening, but the relative pricing of HPV DNA testing is critical in this result.

Funding:

National Natural Science Foundation of China, National Key R&D Program of China.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 10_ODS3_salud_sexual_reprodutiva / 1_ASSA2030 / 2_ODS3 Problema de salud: 10_sexually_transmitted_infections / 1_financiamento_saude / 2_cobertura_universal Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Screening_studies Aspecto: Patient_preference Idioma: En Revista: Lancet Reg Health West Pac Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 10_ODS3_salud_sexual_reprodutiva / 1_ASSA2030 / 2_ODS3 Problema de salud: 10_sexually_transmitted_infections / 1_financiamento_saude / 2_cobertura_universal Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Screening_studies Aspecto: Patient_preference Idioma: En Revista: Lancet Reg Health West Pac Año: 2023 Tipo del documento: Article País de afiliación: China
...