Literature DB >> 30392810

Age at last screening and remaining lifetime risk of cervical cancer in older, unvaccinated, HPV-negative women: a modelling study.

Talía Malagón1, Shalini Kulasingam2, Marie-Hélène Mayrand3, Gina Ogilvie4, Leah Smith5, Céline Bouchard6, Walter Gotlieb7, Eduardo L Franco8.   

Abstract

BACKGROUND: There is a paucity of empirical evidence to inform the age at which to stop cervical cancer screening. The recommended age to stop screening generally varies between age 50-70 years worldwide. However, cervical cancer incidence and mortality remain high in older women. We used a Markov model of cervical cancer screening to estimate the remaining lifetime risk of cervical cancer at different ages and with different exit screening tests, with the aim of informing recommendations of the age at which to stop cervical cancer screening in developed countries.
METHODS: For this modelling study, we developed a state transition (Markov) model of cervical cancer natural history and screening. We developed, calibrated, and validated our model using Canadian provincial registries and survey data. To simulate an age-structured population in the model, a new cohort of 236 564 women (one fifth of the population of Canadian women aged 20-24 years in 2012) entered the model every year and were successively modelled in parallel. Successive cohorts entered the model at age 10 years, creating an age-structured population of women aged 10-100 years. Women who had a total hysterectomy were excluded from the analyses. We calibrated our model to human papillomavirus (HPV) infection and cancer incidence with data from Statistics Canada, which compiles the data from 13 individual provincial registries. We chose a three-stage progressive cervical intraepithelial neoplasia model to include differences in management and treatment decisions depending on lesion severity. We modelled infections with four high-risk HPV groups: HPV16 and HPV18; HPV31, HPV33, HPV45, HPV52, and HPV58; HPV35, HPV39, HPV51, HPV56, HPV59, HPV66, and HPV68; and a generic group of other potentially oncogenic HPVs. We estimated 5-year, 10-year, and remaining lifetime risk of cervical cancer for older, unvaccinated women who stopped screening at different ages and underwent different screening tests.
FINDINGS: Cervical cancer incidence excluding women with hysterectomies underestimated the incidence of cervical cancer in women with a cervix by up to 71% in women aged 80-84 years. Our model predicted that women without HPV vaccination who have been never screened have a 1 in 45 (95% percentile interval 1 in 32 to 1 in 64) lifetime risk of cervical cancer. Perfect adherence (100% of women screened) to cytology screening every 3 years between the ages of 25 years and 69 years could reduce the lifetime risk of cervical cancer to 1 in 532 women (95% percentile interval 1 in 375 to 1 in 820) without HPV vaccination. Increasing the age at which women stopped cytology screening from 55 years to 75 years led to incremental decreases in cancer risk later in life. A 70-year old woman whose screening history was unknown had an average remaining lifetime risk of 1 in 588 (<1%; 95% percentile interval 1 in 451 to 1 in 873) if she stopped screening. Her remaining lifetime risk at age 70 years was reduced to 1 in 1206 (2·0 times reduction; 95% percentile interval 1 in 942 to 1 in 1748) if she had a negative cytology test, 1 in 6525 (12·9 times reduction; 95% percentile interval 1 in 3167 to 1 in 18 664) if she had a negative HPV test, and 1 in 9550 (18·1 times reduction; 95% percentile interval 1 in 4928 to 1 in 23 228) if she had a negative co-test for cytology and HPV.
INTERPRETATION: Cervical cancer risk reductions might be achieved by screening with cytology up to age 75 years, although with diminishing returns. A negative exit oncogenic HPV test or negative HPV test plus cytology correlates with a low remaining lifetime cervical cancer risk for unvaccinated women with a cervix after the age of 55 years. FUNDING: Canadian Institutes of Health Research.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 30392810     DOI: 10.1016/S1470-2045(18)30536-9

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  9 in total

1.  Limitations of simulation models for cervical cancer screening.

Authors:  Anne Hammer; Rebecca Landy; Anne F Rositch; Patti E Gravitt
Journal:  Lancet Oncol       Date:  2019-02       Impact factor: 41.316

2.  Machine Learning Interpretation of Extended Human Papillomavirus Genotyping by Onclarity in an Asian Cervical Cancer Screening Population.

Authors:  Oscar G W Wong; Idy F Y Ng; Obe K L Tsun; Herbert H Pang; Philip P C Ip; Annie N Y Cheung
Journal:  J Clin Microbiol       Date:  2019-11-22       Impact factor: 5.948

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Journal:  J Am Geriatr Soc       Date:  2020-09-03       Impact factor: 7.538

4.  Point-of-care cervical cancer screening using deep learning-based microholography.

Authors:  Divya Pathania; Christian Landeros; Lucas Rohrer; Victoria D'Agostino; Seonki Hong; Ismail Degani; Maria Avila-Wallace; Misha Pivovarov; Thomas Randall; Ralph Weissleder; Hakho Lee; Hyungsoon Im; Cesar M Castro
Journal:  Theranostics       Date:  2019-11-26       Impact factor: 11.556

5.  Cervical cancer screening history prior to a diagnosis of cervical cancer in Danish women aged 60 years and older-A national cohort study.

Authors:  Anne Hammer; Vibeke Soegaard; Rikke D Maimburg; Jan Blaakaer
Journal:  Cancer Med       Date:  2019-01-01       Impact factor: 4.452

6.  Evaluation of PCR-Reverse Dot Blot Human Papillomavirus Genotyping Test in Predicting Residual/Recurrent CIN 2+ in Posttreatment Patients in China.

Authors:  Qiaoyu Zhang; Binhua Dong; Lihua Chen; Tingting Lin; Yao Tong; Wenyu Lin; Haifeng Lin; Yuqin Gao; Fen Lin; Pengming Sun
Journal:  Cancer Manag Res       Date:  2020-04-01       Impact factor: 3.989

7.  Circular RNA circ_PVT1 induces epithelial-mesenchymal transition to promote metastasis of cervical cancer.

Authors:  Hongping Wang; Meiling Wei; Yihua Kang; Jianqin Xing; Yinghui Zhao
Journal:  Aging (Albany NY)       Date:  2020-10-27       Impact factor: 5.682

8.  Advancing understanding of influences on cervical screening (non)-participation among younger and older women: A qualitative study using the theoretical domains framework and the COM-B model.

Authors:  Bernadine O'Donovan; Therese Mooney; Ben Rimmer; Patricia Fitzpatrick; Grainne Flannelly; Lorraine Doherty; Cara Martin; John O'Leary; Mairead O'Connor; Linda Sharp
Journal:  Health Expect       Date:  2021-09-02       Impact factor: 3.377

9.  Rates of New Human Papillomavirus Detection and Loss of Detection in Middle-aged Women by Recent and Past Sexual Behavior.

Authors:  Proma Paul; Anne Hammer; Anne F Rositch; Anne E Burke; Raphael P Viscidi; Michelle I Silver; Nicole Campos; Ada O Youk; Patti E Gravitt
Journal:  J Infect Dis       Date:  2021-04-23       Impact factor: 5.226

  9 in total

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