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1.
Int J Cancer ; 133(11): 2681-7, 2013 Dec 01.
Article in English | MEDLINE | ID: mdl-23712523

ABSTRACT

Today in France, low attendance to cervical screening by Papanicolaou cytology (Pap-smear) is a major contributor to the 3,000 new cervical cancer cases and 1,000 deaths that occur from this disease every year. Nonattenders are mostly from lower socioeconomic groups and testing of self-obtained samples for high-risk Human Papilloma virus (HPV) types has been proposed as a method to increase screening participation in these groups. In 2011, we conducted a randomized study of women aged 35-69 from very low-income populations around Marseille who had not responded to an initial invitation for a free Pap-smear. After randomization, one group received a second invitation for a free Pap-smear and the other group was offered a free self-sampling kit for HPV testing. Participation rates were significantly different between the two groups with only 2.0% of women attending for a Pap-smear while 18.3% of women returned a self-sample for HPV testing (p ≤ 0.001). The detection rate of high-grade lesions (≥CIN2) was 0.2‰ in the Pap-smear group and 1.25‰ in the self-sampling group (p = 0.01). Offering self-sampling increased participation rates while the use of HPV testing increased the detection of cervical lesions (≥CIN2) in comparison to the group of women receiving a second invitation for a Pap-smear. However, low compliance to follow-up in the self-sampling group reduces the effectiveness of this screening approach in nonattenders women and must be carefully managed.


Subject(s)
Mass Screening , Papanicolaou Test , Uterine Cervical Neoplasms/epidemiology , Adult , Female , France , Humans , Papillomaviridae/isolation & purification , Papillomaviridae/pathogenicity , Papillomavirus Infections/diagnosis , Papillomavirus Infections/epidemiology , Poverty , Pregnancy , Self Care , Specimen Handling , Uterine Cervical Neoplasms/diagnosis , Uterine Cervical Neoplasms/pathology , Uterine Cervical Neoplasms/virology
2.
Clin Microbiol Infect ; 19(1): E44-E50, 2013 Jan.
Article in English | MEDLINE | ID: mdl-23137168

ABSTRACT

In France, about 40% of women aged 25-65 years do not participate in regular screening and thus are at high risk (HR) of cervical cancer. Human papillomavirus (HPV) vaginal self-sampling is a valuable alternative in this population. This study aimed to assess the prevalence of HR and LR (low-risk) HPV infection in 3767 women aged >35 years from mid-socioeconomic backgrounds who carried out HPV vaginal self-sampling at home. HPV vaginal self-sampling was better accepted than the Pap-test in women aged 35-69 years who were previously non-responders to individual invitation. From the 933 self-collected swabs studied (24.7%), 62 were HPV-infected (6.6%), and 73 HPV types were found. HPV 16 was the most frequently found (43.5%), followed by 53 (23.2%), 18 (12.3%), 66 (12.3%), 31 (6.8%), 33 (5.4%) and 58 (2.7%). Ten women (16.2%) were infected by multiple HR-HPV types. Median HPV 16 load was 104.000 copies/10(6) cells and median HPV 18 load was 833 copies/10(6) cells. Six women (9.3%) harboured LR-HPV types. The 12-month follow-up of 43 HR-HPV positive women (69.3%) revealed CIN2-3 lesions in three women (6.9%), all HPV 16 infected, and harbouring an HPV 16 load >5 log(10) copies/10(6) cells. Women harbouring HR-HPV types other than HPV 16/18 were older than women harbouring HPV 16/18 types (55 years vs. 46.9 years, p 0.0008). The high frequency of HR-HPV types in women >50 years deserves further investigation to elucidate the mechanism involved (re-infection or reactivation).


Subject(s)
Early Detection of Cancer/statistics & numerical data , Papillomavirus Infections/diagnosis , Papillomavirus Infections/virology , Specimen Handling/methods , Vaginal Smears/methods , Adult , Aged , Female , France/epidemiology , Human papillomavirus 16/isolation & purification , Human papillomavirus 18/isolation & purification , Humans , Middle Aged , Papillomavirus Infections/epidemiology , Papillomavirus Infections/pathology , Patient Participation/statistics & numerical data , Prevalence , Risk Assessment , Specimen Handling/statistics & numerical data , Vaginal Smears/statistics & numerical data
3.
Gastroenterol Clin Biol ; 34(10): 534-40, 2010 Oct.
Article in English | MEDLINE | ID: mdl-20832216

ABSTRACT

BACKGROUND/AIM: Sociodemographic factors associated with colorectal cancer screening participation have been extensively analysed although few, if any, studies have focused on regional/geographical factors as determinants of non-participation rates. The purpose of this study was to investigate the effects of individual and geographical determinants on the variable participation rates seen for colorectal cancer screening. METHODS: The study population comprised 183,978 individuals in the first round of screening and 175,596 in the second round, all of whom were residents of the city of Marseille in France. The influence of age, gender and regional/geographical characteristics, such as proportion of migrants and property prices per square meter, on participation rates was assessed by multilevel analysis. RESULTS: The participation rate was lower for men (0.85; 95% CI: 0.83-0.86), and higher for those aged 65-69 years. Univariate analysis showed that participation rates were significantly different across the 16 municipal districts of Marseille (range: 22.8-36.7%; OR: 1.97; 95% CI: 1.86-2.08). On multivariate analysis, having a higher proportion of migrants in the district population was still associated with lower participation (OR: 0.96; 95% CI: 0.95-0.97). CONCLUSION: In addition to individual factors, regional/geographical factors appear to be relevant determinants of participation rates in urban colorectal cancer screening programs.


Subject(s)
Colorectal Neoplasms/diagnosis , Early Detection of Cancer , Socioeconomic Factors , Urban Population/statistics & numerical data , Aged , Analysis of Variance , Colorectal Neoplasms/epidemiology , Female , France/epidemiology , Humans , Male , Mass Screening , Middle Aged , Multivariate Analysis , Risk Factors
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