Cervical Cancer Incidence Trends in Canada: A 30-Year Population-Based Analysis

(1) Background: Romania has one of the highest cervical cancer incidence rates in Europe. In Cluj County, the first screening program was initiated in 1998. We aimed to investigate the time trends of cervical cancer incidence in women from Cluj County and to evaluate the data quality at the Cancer Registry. (2) Methods: We calculated time trends of standardized incidence rates in the period 1998–2014 and the Annual Percent Change (APC%). To assess data quality, we used the indicators: mortality/incidence ratio (M/I), percentage of cases declared only at death (DOD%), and percentage of cases with pathological confirmation (PC%). (3) Results: The standardized incidence rate increased steadily, from 23.74 cases/100,000 in 1998, to 32/100,000 in 2014, with an APC% of 2.49% (p < 0.05). The rise in incidence affected both squamous cell carcinoma (APC% 2.49%) (p < 0.05) and cervical adenocarcinoma (APC% 10.54%) (p < 0.05). The M/I ratio was 0.29, DOD% 2.66%, and MC% 94.8%. The last two parameters are within the silver standard concerning data quality. (4) Conclusions. Our study revealed an ascending trend of cervical cancer incidence, more consistent for adenocarcinoma, in the context of a newly introduced screening program and partially due to the improvement of the quality of case reporting at the Cancer Registry from Cluj.

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Regional differences in cervical cancer incidence and associated risk behaviors among Norwegian women: a population-based study

BMC Cancer ◽

10.1186/s12885-021-08614-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Bo T. Hansen ◽

Suzanne Campbell ◽

Mari Nygård

Keyword(s):

Cervical Cancer ◽

Sexual Behaviors ◽

Cancer Incidence ◽

Regional Differences ◽

Cervical Screening ◽

Population Based ◽

Cervical Cancer Incidence ◽

Sexually Transmitted ◽

The North ◽

Screening Coverage

Abstract Background Cervical cancer incidence is influenced by screening and risk factors in the population. The main risk factor for cervical cancer is sexually transmitted human papillomavirus (HPV), which is sexually transmitted and thus associated with sexual behavior. Smoking, parity and hormonal contraceptive use may also be associated with cervical cancer risk. We compared incidence, screening coverage and risk behaviors for cervical cancer between health regions in Norway. Methods We obtained data on incidence of cervical cancer among Norwegian women during 1992–2016 and data on screening coverage from the Cancer Registry of Norway. We obtained data on sexual behavior and smoking from a population-based survey of 16,575 Norwegian women who were 18–45 years old in 2005. Results Cervical cancer incidence was higher in the northern and southeastern region than in the middle and western region (range in incidence per 100,000 person-years during 1992–2016; north: 10.5 to 14.6; southeast: 9.3 to 12.9; mid: 6.8 to 9.5; west: 8.4 to 10.0). The incidence decreased modestly in the north (average annual percentage change (95% confidence interval) − 1.0 (− 1.2 to − 0.7)) and southeast (− 0.7 (− 1.0 to − 0.3)), but did not change significantly in the mid (− 0.3 (− 1.0 to 0.4)) and west (− 0.3 (− 0.6 to 0.0)). Compared to the national average, women in the north had earlier sexual debut, more partners and higher prevalence of ever having had a sexually transmitted infection (STI), while the opposite was observed among women in the west. Women in the middle and southeastern regions tended to be similar to the national average for sexual behaviors. Although less pronounced, the prevalence of smoking showed regional patterns similar to that observed for sexual behaviors, while ever-use of hormonal contraceptives and cervical screening coverage was similar between regions. Conclusions There were regional differences in cervical cancer incidence during the era of nationally organized cervical screening in Norway. To some extent, these differences corresponded to regional differences in risk behavior for cervical cancer in the Norwegian female population.

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Cervical cancer incidence after normal cytological sample in routine screening using SurePath, ThinPrep, and conventional cytology: population based study

BMJ ◽

10.1136/bmj.j504 ◽

2017 ◽

pp. j504 ◽

Cited By ~ 8

Author(s):

Kirsten Rozemeijer ◽

Steffie K Naber ◽

Corine Penning ◽

Lucy I H Overbeek ◽

Caspar W N Looman ◽

...

Keyword(s):

Cervical Cancer ◽

Cancer Incidence ◽

Population Based ◽

Routine Screening ◽

Cervical Cancer Incidence ◽

Population Based Study ◽

Conventional Cytology ◽

Cytological Sample

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Increasing Cervical Cancer Incidence in Rural Eastern Cape Province of South Africa, 1998-2012 - A Population-Based Cancer Registry Study

SSRN Electronic Journal ◽

10.2139/ssrn.3399609 ◽

2019 ◽

Author(s):

Nontuthuzelo Somdyala ◽

Debbie Bradshaw ◽

Muhammad A. Dhansay ◽

Daniela Cristina Stefan

Keyword(s):

South Africa ◽

Cervical Cancer ◽

Cancer Registry ◽

Cancer Incidence ◽

Population Based ◽

Eastern Cape Province ◽

Eastern Cape ◽

Registry Study ◽

Cervical Cancer Incidence

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On Exploring Hidden Structures Behind Cervical Cancer Incidence

Cancer Control ◽

10.1177/1073274818801604 ◽

2018 ◽

Vol 25 (1) ◽

pp. 107327481880160 ◽

Cited By ~ 1

Author(s):

Niko Lietzén ◽

Janne Pitkäniemi ◽

Sirpa Heinävaara ◽

Pauliina Ilmonen

Keyword(s):

Cervical Cancer ◽

Cancer Incidence ◽

Age Groups ◽

Population Based ◽

Cervical Cancer Incidence ◽

Disease Epidemiology ◽

Age Dependent ◽

Population Based Registry ◽

Latent Components

Finding new etiological components is of great interest in disease epidemiology. We consider time series version of invariant coordinate selection (tICS) as an exploratory tool in the search of hidden structures in the analysis of population-based registry data. Increasing cancer burden inspired us to consider a case study of age-stratified cervical cancer incidence in Finland between the years 1953 and 2014. The latent components, which we uncover using tICS, show that the etiology of cervical cancer is age dependent. This is in line with recent findings related to the epidemiology of cervical cancer. Furthermore, we are able to explain most of the variation of cervical cancer incidence in different age groups by using only two latent tICS components. The second tICS component, in particular, is interesting since it separates the age groups into three distinct clusters. The factor that separates the three clusters is the median age of menopause occurrence.

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