Increased cervical cancer risk associated with extended screening intervals after negative human papillomavirus test results: Bayesian risk estimates using the Pittsburgh Cervical Cancer Screening Model

2016 ◽  
Vol 5 (1) ◽  
pp. 9-14 ◽  
Author(s):  
R. Marshall Austin ◽  
Agnieszka Onisko
Keyword(s):  
Cervical Cancer ◽  
Human Papillomavirus ◽  
Cancer Screening ◽  
Cancer Risk ◽  
Cervical Cancer Screening ◽  
Test Results ◽  
Screening Model ◽  
Cervical Cancer Risk ◽  
Bayesian Risk ◽  
Screening Intervals

scholarly journals Students’ Knowledge about Cervical Cancer Prevention in Poland

Medicina ◽  
2021 ◽  
Vol 57 (10) ◽  
pp. 1045
Author(s):  
Karolina Osowiecka ◽  
Samira Yahuza ◽  
Marek Szwiec ◽  
Anna Gwara ◽  
Karolina Kasprzycka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cervical Cancer ◽  
Cancer Screening ◽  
Medical Students ◽  
Cancer Risk ◽  
Cervical Cancer Screening ◽  
Cervical Cancer Prevention ◽  
Detection Rates ◽  
Cancer Risk Factors ◽  
Cervical Cancer Risk

Background and Objectives: In Poland, the rates of morbidity and mortality due to cervical cancer are amongst the highest in Europe. A significant percentage of newly diagnosed cases of cervical cancer are at an advanced stage. Unfortunately, only about 20% of Polish women take part in cervical cancer screening. The aim of the study was to assess students’ knowledge of cervical cancer risk factors and prevention. Materials and Methods: The study was provided to Polish students from various universities and faculties between May 2020 and November 2020. The questionnaire was designed specifically for this study and was validated. The chi-square test was used to compare the responses between subgroups. Results: The study was carried out on a group of 995 students (80.6% women, 19% men, 0.4% no data), (average age 21.9 years). Most students knew that the main risk factor for cervical cancer is human papillomavirus (HPV) infection (82% of all responders; 86% of medical students; 73% of non-medical students; p < 0.001). Only 40% of students knew that in Poland the Population Prevention and Early Diagnosis Program is carried out on women aged 25–59 years every three years. Most students correctly indicated that cervical cancer screening in Poland is performed using cervical cytology and were familiar with the basis of cytology. Only 57% of students knew that there are no specific early symptoms of cervical cancer. A total of 78% of all respondents knew that HPV vaccination reduces the risk of cervical cancer. Medical students and students who are sexually active demonstrated a better knowledge of cervical cancer. Conclusions: The Polish students had some knowledge of cervical cancer risk factors and primary and secondary prevention. Significantly better knowledge was demonstrated by medical students. Some efforts should be made to ensure that young people, who are not associated with medicine are better educated about cervical cancer in order to reduce the overall incidence and improve early detection rates.

scholarly journals Effect of introducing human papillomavirus genotyping into real-world screening on cervical cancer screening in China: a retrospective population-based cohort study

2021 ◽  
Vol 13 ◽  
pp. 175883592110109
Author(s):  
Binhua Dong ◽  
Huachun Zou ◽  
Xiaodan Mao ◽  
Yingying Su ◽  
Hangjing Gao ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cohort Study ◽  
Human Papillomavirus ◽  
Cancer Screening ◽  
Cervical Cancer Screening ◽  
Cox Regression ◽  
Intraepithelial Neoplasia ◽  
Population Based ◽  
Hpv Genotyping ◽  
Cytology Screening

Background: China’s Fujian Cervical Pilot Project (FCPP) transitioned cervical cancer screening from high-risk human papillomavirus (HR-HPV) nongenotyping to genotyping. We investigated the clinical impact of this introduction, comparing performance indicators between HR-HPV genotyping combined with cytology screening (HR-HPV genotyping period) and the previous HR-HPV nongenotyping combined with cytology screening (HR-HPV nongenotyping period). Methods: A retrospective population-based cohort study was performed using data from the FCPP for China. We obtained data for the HR-HPV nongenotyping period from 1 January 2012 to 31 December 2013, and for the HR-HPV genotyping period from 1 January 2014 to 31 December 2016. Propensity score matching was used to match women from the two periods. Multivariable Cox regression was used to assess factors associated with cervical intraepithelial neoplasia of grade 2 or worse (CIN2+). The primary outcome was the incidence of CIN2+ in women aged ⩾25 years. Performance was assessed and included consistency, reach, effectiveness, adoption, implementation and cost. Results: Compared with HR-HPV nongenotyping period, in the HR-HPV genotyping period, more CIN2+ cases were identified at the initial screening (3.06% versus 2.32%; p < 0.001); the rate of colposcopy referral was higher (10.87% versus 6.64%; p < 0.001); and the hazard ratio of CIN2+ diagnosis was 1.64 (95% confidence interval, 1.43–1.88; p < 0.001) after controlling for health insurance status and age. The total costs of the first round of screening (US$66,609 versus US$65,226; p = 0.293) were similar during the two periods. Higher screening coverage (25.95% versus 25.19%; p = 0.007), higher compliance with age recommendations (92.70% versus 91.69%; p = 0.001), lower over-screening (4.92% versus 10.15%; p < 0.001), and reduced unqualified samples (cytology: 1.48% versus 1.73%, p = 0.099; HR-HPV: 0.57% versus 1.34%, p < 0.001) were observed in the HR-HPV genotyping period. Conclusions: Introduction of an HR-HPV genotyping assay in China could detect more CIN2+ lesions at earlier stages and improve programmatic indicators. Evidence suggests that the introduction of HR-HPV genotyping is likely to accelerate the elimination of cervical cancer in China.

The Pittsburgh Cervical Cancer Screening Model: A Risk Assessment Tool

2010 ◽  
Vol 134 (5) ◽  
pp. 744-750
Author(s):  
R. Marshall Austin ◽  
Agnieszka Onisko ◽  
Marek J. Druzdzel
Keyword(s):  
Cervical Cancer ◽  
Cancer Screening ◽  
Cervical Cancer Screening ◽  
Disease Risk ◽  
Hpv Vaccination ◽  
Dynamic Bayesian Network ◽  
Adenocarcinoma In Situ ◽  
Test Results ◽  
Hpv Test

Abstract Context.—Evaluation of cervical cancer screening has grown increasingly complex with the introduction of human papillomavirus (HPV) vaccination and newer screening technologies approved by the US Food and Drug Administration. Objective.—To create a unique Pittsburgh Cervical Cancer Screening Model (PCCSM) that quantifies risk for histopathologic cervical precancer (cervical intraepithelial neoplasia [CIN] 2, CIN3, and adenocarcinoma in situ) and cervical cancer in an environment predominantly using newer screening technologies. Design.—The PCCSM is a dynamic Bayesian network consisting of 19 variables available in the laboratory information system, including patient history data (most recent HPV vaccination data), Papanicolaou test results, high-risk HPV results, procedure data, and histopathologic results. The model's graphic structure was based on the published literature. Results from 375 441 patient records from 2005 through 2008 were used to build and train the model. Additional data from 45 930 patients were used to test the model. Results.—The PCCSM compares risk quantitatively over time for histopathologically verifiable CIN2, CIN3, adenocarcinoma in situ, and cervical cancer in screened patients for each current cytology result category and for each HPV result. For each current cytology result, HPV test results affect risk; however, the degree of cytologic abnormality remains the largest positive predictor of risk. Prior history also alters the CIN2, CIN3, adenocarcinoma in situ, and cervical cancer risk for patients with common current cytology and HPV test results. The PCCSM can also generate negative risk projections, estimating the likelihood of the absence of histopathologic CIN2, CIN3, adenocarcinoma in situ, and cervical cancer in screened patients. Conclusions.—The PCCSM is a dynamic Bayesian network that computes quantitative cervical disease risk estimates for patients undergoing cervical screening. Continuously updatable with current system data, the PCCSM provides a new tool to monitor cervical disease risk in the evolving postvaccination era.

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