Prognosis of high‐risk human papillomavirus‐related cervical lesions: A hidden Markov model analysis of a single‐center cohort in Japan

Previous studies have shown that individuals with human papillomavirus (HPV)‐related cervical lesions have different prognoses according to the HPV genotype. However, these studies failed to account for possible diagnostic misclassification. In this retrospective cohort study, we aimed to clarify the natural course of cervical lesions according to HPV genotype to account for any diagnostic misclassification.

[1]  Y. Terán-Figueroa,et al.  Histopathological Diagnosis of Cervical Biopsies: Reduction of Sampling Errors with the Evaluation of a Third Histologic Level , 2020, Cancer management and research.

[2]  Tae Jin Kim,et al.  Searching for an ideal cervical cancer screening model to reduce false-negative errors in a country with high prevalence of cervical cancer , 2020, Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology.

[3]  T. Yasugi,et al.  Multistate Markov Model to Predict the Prognosis of High-Risk Human Papillomavirus-Related Cervical Lesions , 2020, Cancers.

[4]  Jacques Ferlay,et al.  Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis , 2019, The Lancet. Global health.

[5]  J. Cuzick,et al.  Final efficacy, immunogenicity, and safety analyses of a nine-valent human papillomavirus vaccine in women aged 16–26 years: a randomised, double-blind trial , 2017, The Lancet.

[6]  T. Mangal Joint estimation of CD4+ cell progression and survival in untreated individuals with HIV-1 infection , 2017, AIDS.

[7]  Marc Arbyn,et al.  Adverse obstetric outcomes after local treatment for cervical preinvasive and early invasive disease according to cone depth: systematic review and meta-analysis , 2016, British Medical Journal.

[8]  O. Takahashi,et al.  Contraception in Japan: Current trends. , 2016, Contraception.

[9]  R. Kishi,et al.  HPV vaccination crisis in Japan , 2015, The Lancet.

[10]  Gary S Collins,et al.  Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration , 2015, Annals of Internal Medicine.

[11]  Jae Kwan Lee,et al.  Type-specific persistence or regression of human papillomavirus genotypes in women with cervical intraepithelial neoplasia 1: A prospective cohort study , 2015, Obstetrics & gynecology science.

[12]  A. Newman,et al.  Transition to sarcopenia and determinants of transitions in older adults: a population-based study. , 2014, The journals of gerontology. Series A, Biological sciences and medical sciences.

[13]  S. Franceschi,et al.  A systematic review of the prevalence of mucosal and cutaneous human papillomavirus types. , 2013, Virology.

[14]  S. Gilani,et al.  Cytohistologic Correlation in Premenopausal and Postmenopausal Women , 2013, Acta Cytologica.

[15]  J. Berkhof,et al.  Prospective follow‐up of 2,065 young unscreened women to study human papillomavirus incidence and clearance , 2013, International journal of cancer.

[16]  J. Olson,et al.  Predicted impact of extending the screening interval for diabetic retinopathy: the Scottish Diabetic Retinopathy Screening programme , 2013, Diabetologia.

[17]  P. Castle,et al.  Cervical Carcinoma Rates Among Young Females in the United States , 2012, Obstetrics and gynecology.

[18]  D. Celentano,et al.  The association of hormonal contraceptive use and HPV prevalence , 2011, International journal of cancer.

[19]  Y. Hirai,et al.  Predicting the progression of cervical precursor lesions by human papillomavirus genotyping: A prospective cohort study , 2011, International journal of cancer.

[20]  S. Wacholder,et al.  Human papillomavirus infection with multiple types: pattern of coinfection and risk of cervical disease. , 2011, The Journal of infectious diseases.

[21]  D. Ferris,et al.  The accuracy of colposcopic biopsy: Analyses from the placebo arm of the Gardasil clinical trials , 2011, International journal of cancer.

[22]  Christopher H. Jackson,et al.  Multi-State Models for Panel Data: The msm Package for R , 2011 .

[23]  Andrew C Titman,et al.  Semi‐Markov Models with Phase‐Type Sojourn Distributions , 2010, Biometrics.

[24]  Elamin H Elbasha,et al.  Epidemiologic natural history and clinical management of Human Papillomavirus (HPV) Disease: a critical and systematic review of the literature in the development of an HPV dynamic transmission model , 2009, BMC infectious diseases.

[25]  Joan L. Walker,et al.  Cervical dysplasia among women over 35 years of age. , 2008, American journal of obstetrics and gynecology.

[26]  Jason D. Wright,et al.  Natural history of established low grade cervical intraepithelial (CIN 1) lesions. , 2008, Anticancer research.

[27]  F. Smedts,et al.  CK17 and p16 expression patterns distinguish (atypical) immature squamous metaplasia from high‐grade cervical intraepithelial neoplasia , 2008, Histopathology.

[28]  Sophia Rabe-Hesketh,et al.  Classical latent variable models for medical research , 2008, Statistical methods in medical research.

[29]  O. Fadare,et al.  Squamous Dysplasia of the Uterine Cervix: Tissue Sampling-Related Diagnostic Considerations in 600 Consecutive Biopsies , 2007, International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists.

[30]  S. Franceschi,et al.  Human papillomavirus type distribution in invasive cervical cancer and high‐grade cervical lesions: A meta‐analysis update , 2007, International journal of cancer.

[31]  Stephen W Lagakos,et al.  Statistical methods for panel data from a semi-Markov process, with application to HPV. , 2007, Biostatistics.

[32]  S. Regauer,et al.  CK17 and p16 expression patterns distinguish (atypical) immature squamous metaplasia from high-grade cervical intraepithelial neoplasia (CIN III) , 2007, Histopathology.

[33]  F. Mauny,et al.  Immunohistochemical analysis of CD4+ and CD8+ T-cell subsets in high risk human papillomavirus-associated pre-malignant and malignant lesions of the uterine cervix. , 2006, Gynecologic oncology.

[34]  Patrick Royston,et al.  The cost of dichotomising continuous variables , 2006, BMJ : British Medical Journal.

[35]  M Arbyn,et al.  Obstetric outcomes after conservative treatment for intraepithelial or early invasive cervical lesions: systematic review and meta-analysis , 2006, The Lancet.

[36]  J. Fortenberry,et al.  A longitudinal study of genital human papillomavirus infection in a cohort of closely followed adolescent women. , 2005, The Journal of infectious diseases.

[37]  Sean R Eddy,et al.  What is a hidden Markov model? , 2004, Nature Biotechnology.

[38]  J. T. Cox,et al.  Interim Guidance for the Use of Human Papillomavirus DNA Testing as an Adjunct to Cervical Cytology for Screening , 2004, Obstetrics and gynecology.

[39]  E. Villiers Relationship between steroid hormone contraceptives and HPV, cervical intraepithelial neoplasia and cervical carcinoma. , 2003 .

[40]  Alexandre Bureau,et al.  Applications of continuous time hidden Markov models to the study of misclassified disease outcomes , 2003, Statistics in medicine.

[41]  M. Heatley How many histological levels should be examined from tissue blocks originating in cone biopsy and large loop excision of the transformation zone specimens of cervix? , 2001, Journal of clinical pathology.

[42]  C. Meijer,et al.  Differential T helper cell responses to human papillomavirus type 16 E7 related to viral clearance or persistence in patients with cervical neoplasia: a longitudinal study. , 1998, Cancer research.

[43]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .