Prediction of cervical cancer incidence in England, UK, up to 2040, under four scenarios: a modelling study

نویسندگان

  • Alejandra Castanon
  • Rebecca Landy
  • Francesca Pesola
  • Peter Windridge
  • Peter Sasieni
چکیده

BACKGROUND In the next 25 years, the epidemiology of cervical cancer in England, UK, will change: human papillomavirus (HPV) screening will be the primary test for cervical cancer. Additionally, the proportion of women screened regularly is decreasing and women who received the HPV vaccine are due to attend screening for the first time. Therefore, we aimed to estimate how vaccination against HPV, changes to the screening test, and falling screening coverage will affect cervical cancer incidence in England up to 2040. METHODS We did a data modelling study that combined results from population modelling of incidence trends, observable data from the individual level with use of a generalised linear model, and microsimulation of unobservable disease states. We estimated age-specific absolute risks of cervical cancer in the absence of screening (derived from individual level data). We used an age period cohort model to estimate birth cohort effects. We multiplied the absolute risks by the age cohort effects to provide absolute risks of cervical cancer for unscreened women in different birth cohorts. We obtained relative risks (RRs) of cervical cancer by screening history (never screened, regularly screened, or lapsed attender) using data from a population-based case-control study for unvaccinated women, and using a microsimulation model for vaccinated women. RRs of primary HPV screening were relative to cytology. We used the proportion of women in each 5-year age group (25-29 years to 75-79 years) and 5-year period (2016-20 to 2036-40) who have a combination of screening and vaccination history, and weighted to estimate the population incidence. The primary outcome was the number of cases and rates per 100 000 women under four scenarios: no changes to current screening coverage or vaccine uptake and HPV primary testing from 2019 (status quo), changing the year in which HPV primary testing is introduced, introduction of the nine-valent vaccine, and changes to cervical screening coverage. FINDINGS The status quo scenario estimated that the peak age of cancer diagnosis will shift from the ages of 25-29 years in 2011-15 to 55-59 years in 2036-40. Unvaccinated women born between 1975 and 1990 were predicted to have a relatively high risk of cervical cancer throughout their lives. Introduction of primary HPV screening from 2019 could reduce age-standardised rates of cervical cancer at ages 25-64 years by 19%, from 15·1 in 2016 to 12·2 per 100 000 women as soon as 2028. Vaccination against HPV types 16 and 18 (HPV 16/18) could see cervical cancer rates in women aged 25-29 years decrease by 55% (from 20·9 in 2011-15 to 9·5 per 100 000 women by 2036-40), and introduction of nine-valent vaccination from 2019 compared with continuing vaccination against HPV 16/18 will reduce rates by a further 36% (from 9·5 to 6·1 per 100 000 women) by 2036-40. Women born before 1991 will not benefit directly from vaccination; therefore, despite vaccination and primary HPV screening with current screening coverage, European age-standardised rates of cervical cancer at ages 25-79 years will decrease by only 10% (from 12·8 in 2011-15 to 11·5 per 100 000 women in 2036-40). If screening coverage fell to 50%, European age-standardised rates could increase by 27% (from 12·8 to 16·3 per 100 000 by 2036-40). INTERPRETATION Going forward, focus should be placed on scenarios that offer less intensive screening for vaccinated women and more on increasing coverage and incorporation of new technologies to enhance current cervical screening among unvaccinated women. FUNDING Jo's Cervical Cancer Trust and Cancer Research UK.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Prediction of Prediction of Climate Change Impacts on Kharkeh Dam Reservoir Inflows with Using of CMIP5-RCP Scenarios

The objective of this research was to investigate the effects of climate change on precipitation and temperature parameters of Karkheh Basin and inflow to Karkheh dam reservoir. This was conducted by applying 21 GCM models under CMIP5 scenarios. The error indices of R2, RMSE and MAE models with the observed precipitation and temperature data were examined to find the appropriate GCM model, MRI-...

متن کامل

Preventable fractions of cervical cancer via effective screening in six Baltic, central, and eastern European countries 2017–40: a population-based study

BACKGROUND Cervical cancer incidence remains high in several Baltic, central, and eastern European (BCEE) countries, mainly as a result of a historical absence of effective screening programmes. As a catalyst for action, we aimed to estimate the number of women who could be spared from cervical cancer across six countries in the region during the next 25 years, if effective screening interventi...

متن کامل

The Incidence of Lung Cancer and Smoking in Iran, Turkey, England, and USA: A Comparative Study

Introduction: lung cancer is the deadliest and the costliest cancer in the world. In this study, we have tried to compare the situation of this disease in several countries by considering the most important risk factor of lung cancer (smoking cigarette). Method: This is a comparative study, a comprehensive one which was done on lung cancer rates in four countries, Iran, Turkey, England and UAS...

متن کامل

Comparison of LARS-WG and SDSM Downscaling Models for Prediction Temperature and Precipitation Changes under RCP Scenarios

Various methods developed to convert large-scale data to regional climatic data. In few studies , the results of these methods have been statistically compared. The main purpose of this study was to compare SDSM and LARS-WG models for Downscaling output data of CANE-SM2 and HADGEM2-ES general circulation models under RCP2.6, RCP4.5 and RCP8.5 scenarios. For this study, precipitation, minimum an...

متن کامل

Prediction of Rainfall under HadCM3 and CanESM2 Climate Change Models using Statistical Downscaling Model (Case Study: Tabriz Synoptic Station)

Global climate change as a main factor affecting all ecological components, has been attended by researchers all over the world in the recent years. In this regard for simulating the rainfall, National Centers for Environmental Prediction (NCEP) data, HadCM3 data under A2 and B2 scenarios, CanESM2 data under RCP2.6, RCP4.5 and RCP8.5 scenarios were utilized. This research was performed by adopt...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2018