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Estimating the Natural History of Cervical Carcinogenesis Using Simulation Models: A CISNET Comparative Analysis.
Burger, Emily A; de Kok, Inge M C M; Groene, Emily; Killen, James; Canfell, Karen; Kulasingam, Shalini; Kuntz, Karen M; Matthijsse, Suzette; Regan, Catherine; Simms, Kate T; Smith, Megan A; Sy, Stephen; Alarid-Escudero, Fernando; Vaidyanathan, Vivek; van Ballegooijen, Marjolein; Kim, Jane J.
Afiliação
  • Burger EA; Harvard T.H. Chan School of Public Health, Boston, MA.
  • de Kok IMCM; University of Oslo, Oslo, Norway.
  • Groene E; Erasmus Medical Center, Rotterdam, the Netherlands.
  • Killen J; University of Minnesota, Minneapolis, MN.
  • Canfell K; Cancer Research Division, Cancer Council NSW, Sydney, Australia.
  • Kulasingam S; Cancer Research Division, Cancer Council NSW, Sydney, Australia.
  • Kuntz KM; School of Public Health, University of Sydney, Sydney, Australia.
  • Matthijsse S; University of Minnesota, Minneapolis, MN.
  • Simms KT; Erasmus Medical Center, Rotterdam, the Netherlands.
  • Smith MA; Harvard T.H. Chan School of Public Health, Boston, MA.
  • Sy S; Cancer Research Division, Cancer Council NSW, Sydney, Australia.
  • Alarid-Escudero F; School of Public Health, University of Sydney, Sydney, Australia.
  • Vaidyanathan V; Cancer Research Division, Cancer Council NSW, Sydney, Australia.
  • van Ballegooijen M; School of Public Health, University of Sydney, Sydney, Australia.
  • Kim JJ; Harvard T.H. Chan School of Public Health, Boston, MA.
J Natl Cancer Inst ; 112(9): 955-963, 2020 09 01.
Article em En | MEDLINE | ID: mdl-31821501
ABSTRACT

BACKGROUND:

The natural history of human papillomavirus (HPV)-induced cervical cancer (CC) is not directly observable, yet the age of HPV acquisition and duration of preclinical disease (dwell time) influences the effectiveness of alternative preventive policies. We performed a Cancer Intervention and Surveillance Modeling Network (CISNET) comparative modeling analysis to characterize the age of acquisition of cancer-causing HPV infections and implied dwell times for distinct phases of cervical carcinogenesis.

METHODS:

Using four CISNET-cervical models with varying underlying structures but fit to common US epidemiological data, we estimated the age of acquisition of causal HPV infections and dwell times associated with three phases of cancer development HPV, high-grade precancer, and cancer sojourn time. We stratified these estimates by HPV genotype under both natural history and CC screening scenarios, because screening prevents cancer development that affects the mix of detected cancers.

RESULTS:

The median time from HPV acquisition to cancer detection ranged from 17.5 to 26.0 years across the four models. Three models projected that 50% of unscreened women acquired their causal HPV infection between ages 19 and 23 years, whereas one model projected these infections occurred later (age 34 years). In the context of imperfect compliance with US screening guidelines, the median age of causal infection was 4.4-15.9 years later compared with model projections in the absence of screening.

CONCLUSIONS:

These validated CISNET-CC models, which reflect some uncertainty in the development of CC, elucidate important drivers of HPV vaccination and CC screening policies and emphasize the value of comparative modeling when evaluating public health policies.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Papillomaviridae / Simulação por Computador / Transformação Celular Viral / Neoplasias do Colo do Útero / Infecções por Papillomavirus Tipo de estudo: Diagnostic_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: J Natl Cancer Inst Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Marrocos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Papillomaviridae / Simulação por Computador / Transformação Celular Viral / Neoplasias do Colo do Útero / Infecções por Papillomavirus Tipo de estudo: Diagnostic_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: J Natl Cancer Inst Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Marrocos