Coverage rate of opportunistic and organised breast cancer screening in France: Department-level estimation.

OBJECTIVE: In France, the national breast cancer screening programme (NBCSP), targeting women aged 50-74 years was rolled out nationwide in 2004. It aims at reducing breast cancer mortality. In addition to the NBCSP, the use of opportunistic screening is permitted in France. The objective of this study is to estimate both opportunistic use and overall coverage rates of breast cancer screening, among women 40-84 years of age, in France. METHODS: The French medico-administrative health data system (SNDS) was used to identify women performing an opportunistic or organised mammography screening in France in 2016-2017. RESULTS: The two-yearly opportunistic mammography screening is 18 % among women aged 40-84; it is 11 % among women aged 50-74, i.e., the target age range for organised screening, 36 % among women aged 40-49 and 13 % among women aged 75-84. The overall two-yearly screening coverage is 48 % for all women aged 40-84; it is 60 % among women aged 50-74, 36 % among women 40-49 and 16 % for those aged 75-84. Geographical variations in screening are lessened when the two screening strategies are considered, as they balance each other. CONCLUSION: Although coverage in the NBCSP is around 50 % in France, more than one third of the women make use of opportunistic screening within and outside the target age range. Organized screening appears to improve equity of access to mammography screening service. The lack of data on opportunistic screening practices hinders the evaluation of French screening practices as a whole.

Burden of gastric and digestive cancers in the French Caribbean: perspectives from population-based cancer registries of Martinique, Guadeloupe and French Guiana (2007-2014).

OBJECTIVES: Data from population-based cancer registries contribute to improving our knowledge of digestive cancer trends worldwide. In this study, we present cancer incidence and mortality in Guadeloupe, French Guiana and Martinique for the periods 2008-2014, 2010-2014 and 2007-2014, respectively. DESIGN: Data were extracted from population-based cancer registries. World-standardised incidence (WSI) and mortality (WSM) rates were calculated. Main digestive cancers were analysed, including oesophagus, stomach, colorectum, liver and pancreas cancers. SETTING: This study was performed based on data from French Territories in the Caribbean. RESULTS: We observed a lower-incidence compared with mainland France, except for stomach cancer for which the incidence is high, with significant standardised incidence ratios in men and women at 1.90 vs 2.29 for Guadeloupe and French Guiana and 1.58 vs 2.31 for Martinique. We found a lower-mortality, except for stomach cancer for which the mortality remains high, with significant mortality ratios in men and women at 2.10 vs 2.74 for Guadeloupe, 1.64 vs 1.79 for French Guiana and 2.05 vs 2.53 for Martinique. Overall, these three regions have similar WSI and WSM rates which remain lower than those in mainland France. We noticed an overall high incidence and high mortality in men compared with women as in France. CONCLUSIONS: There is a high incidence of stomach cancer in French overseas territories. Publication of these data contributed to expanding knowledge on the epidemiology of world cancers with data from the Caribbean zone.

Urological Cancers in French Overseas Territories: A Population-Based Cancer Registry Pooled Analysis in Martinique, Guadeloupe and French Guiana (2007-2014).

PURPOSE: Prostate cancer is the most common cancer in the Caribbean. We present world-standardized incidence (WSI) and mortality (WSM) rates for urological cancers for French overseas territories. MATERIALS AND METHODS: Standardized incidence ratio (SIR) and standardized mortality ratio (SMR) were calculated for 2008-2014, 2007-2014 and 2010-2014 in Guadeloupe, Martinique and French Guiana. RESULTS: For prostate cancer, in Guadeloupe and Martinique, the WSI rates are among the highest in the world (173.0 and 164.5 per 100,000 person-years) and 94.4 in French Guiana. Mortality remains more than twice that observed in mainland France, at 23.0 in Guadeloupe and Martinique, and 16.9 in French Guiana. For bladder cancer, WSI rates were 5.9, 4.9 and 4.1 in men, and 1.9, 1.4 and 1.3 in women, in French Guiana, Guadeloupe and Martinique. WSM rates from bladder varied from 1.5 in French Guiana to 1.8 in Guadeloupe and 2.0 in Martinique in men. In women, it ranges from 0.2 in French Guiana to 0.5 in Guadeloupe and 1.1 in Martinique. Regarding kidney, WSI rates in men are 4.3 in Martinique, 5.2 in Guadeloupe and 6.1 in French Guiana, and 2.3, 2.5 and 3.4, respectively, in women. Mortality rates in men were 1.7 in Guadeloupe, 1.4 in Martinique, and 1.5 in French Guiana, while in women, rates were 0.8 in Guadeloupe and Martinique and 0.6 in French Guiana. All these rates are lower than in mainland France. CONCLUSIONS: Identifying the profile of patients with urological cancers is key to understanding the needs of patients in these regions.

How to produce sound predictions of incidence at a district level using either health care or mortality data in the absence of a national registry: the example of cancer in France.

BACKGROUND: In many countries, epidemiological surveillance of chronic diseases is monitored by local registries (LR) which do not necessarily cover the whole national territory. This gap has fostered interest in using non-registry databases (e.g., health care or mortality databases) available for the whole territory as proxies for incidence at the local level. However, direct counts from these databases do not provide reliable incidence measures. Accordingly, specific methods are needed to correct proxies and assess their epidemiological usefulness. METHODS: This study's objective was to implement a three-stage turnkey methodology using national non-registry data to predict incidence in geographical areas without an LR as follows: constructing a calibration model to make predictions including accurate prediction intervals; accuracy assessment of predictions and rationale for the criteria to assess which predictions were epidemiologically useful; mapping after spatial smoothing of the latter predictions. The methodology was applied to a real-world setting, whereby we aimed to predict cancer incidence, by gender, at the district level in France over the 2007-15 period for 24 different cancer sites, using several health care indicators and mortality. In the present paper, the spatial smoothing performed on predicted incidence of epidemiological interest is illustrated for two examples. RESULTS: Predicted incidence of epidemiological interest was possible for 27/34 solid site-gender combinations and for only 2/8 haematological malignancies-gender combinations. Mapping of smoothed predicted incidence provided a clear picture of the main contrasts in incidence between districts. CONCLUSIONS: The methodology implemented provides a comprehensive framework to produce valuable predictions of incidence at a district level, using proxy measures and existing LR.

Multidimensional penalized splines for incidence and mortality-trend analyses and validation of national cancer-incidence estimates.

BACKGROUND: Cancer-incidence and mortality-trend analyses require appropriate statistical modelling. In countries without a nationwide cancer registry, an additional issue is estimating national incidence from local-registry data. The objectives of this study were to (i) promote the use of multidimensional penalized splines (MPS) for trend analyses; (ii) estimate the national cancer-incidence trends, using MPS, from only local-registry data; and (iii) propose a validation process of these estimates. METHODS: We used an MPS model of age and year for trend analyses in France over 1990-2015 with a projection up to 2018. Validation was performed for 22 cancer sites and relied essentially on comparison with reference estimates that used the incidence/health-care ratio over the period 2011-2015. Alternative estimates that used the incidence/mortality ratio were also used to validate the trends. RESULTS: In the validation assessment, the relative differences of the incidence estimates (2011-2015) with the reference estimates were <5% except for testis cancer in men and < 7% except for larynx cancer in women. Trends could be correctly derived since 1990 despite incomplete histories in some registries. The proposed method was applied to estimate the incidence and mortality trends of female lung cancer and prostate cancer in France. CONCLUSIONS: The validation process confirmed the validity of the national French estimates; it may be applied in other countries to help in choosing the most appropriate national estimation method according to country-specific contexts. MPS form a powerful statistical tool for trend analyses; they allow trends to vary smoothly with age and are suitable for modelling simple as well as complex trends thanks to penalization. Detailed trend analyses of lung and prostate cancers illustrated the suitability of MPS and the epidemiological interest of such analyses.

Gynaecological cancer in Caribbean women: data from the French population-based cancer registries of Martinique, Guadeloupe and French Guiana (2007-2014).

BACKGROUND: For the first time, we present regional-level cancer incidence and world-standardized mortality rates for cancers for Martinique, Guadeloupe and French Guiana. METHODS: For Martinique, Guadeloupe and French Guiana, incidence data come from population-based cancer registries, and cover the periods 2007-2014, 2008-2014 and 2010-2014 respectively. Standardized incidence and mortality rates were calculated using the world population. RESULTS: In the 3 regions, all cancers combined represent 3567 new cases per year, of which 39.8% occur in women, and 1517 deaths per year (43.4% in women). Guadeloupe and Martinique present similar world-standardized incidence rates. Among gynaecological cancers, breast cancer, the second most common cancer type in the 3 regions, has an incidence rate 35 to 46% lower than in mainland France. On the other hand, cervical cancer has a higher incidence rate, particularly in French Guiana. For both endometrial cancer and ovarian cancer, no significant differences in incidence rates are found compared to mainland France. Regarding mortality, world-standardized mortality rates are similar between Guadeloupe and Martinique, and higher than in French Guiana. This situation compares favourably with mainland France (all cancers). Among gynaecological cancers, the mortality rate is lower for breast cancer in all regions compared to mainland France, and also lower for ovarian cancer in Martinique and Guadeloupe, but higher (albeit non-significantly) in French Guiana. CONCLUSION: The ethno-geographic and socio-demographic characteristics in this population of mainly Afro-Caribbean origin could partially explain these disparities. Major disparities exist for certain cancer sites: excess incidence and excess mortality for cervical cancer; lower, but increasing incidence of breast cancer.

Changes in tobacco-related morbidity and mortality in French women: worrying trends.

BACKGROUND: The high prevalence of smoking among French women since the 1970s has been reflected over the past decade by a strong impact on the health of women. This paper describes age and gender differences in France of the impact of smoking on morbidity and mortality trends since the 2000s. METHODS: Smoking prevalence trends were based on estimates from national surveys from 1974 to 2017. Lung cancer incidence were estimated from 2002-12 cancer registry data. Morbidity data for chronic obstructive pulmonary disease (COPD) exacerbation and myocardial infarction were assessed through hospital admissions data, 2002-15. For each disease, number of deaths between 2000 and 2014 came from the national database on medical causes of death. The tobacco-attributable mortality (all causes) was obtained using a population-attributable fraction methodology. RESULTS: The incidence of lung cancer and COPD increased by 72% and 100%, respectively, among women between 2002 and 2015. For myocardial infarction before the age of 65, the incidence increased by 50% between 2002 and 2015 in women vs. 16% in men and the highest increase was observed in women of 45-64-year-olds. Mortality from lung cancer and COPD increased by 71% and 3%, respectively, among women. The estimated number of women who died as a result of smoking has more than doubled between 2000 and 2014 (7% vs. 3% of all deaths). CONCLUSIONS: The increase in the prevalence of smoking among women has a major impact on the morbidity and mortality of tobacco-related diseases in women and will continue to increase for a number of years.

For a sound use of health care data in epidemiology: evaluation of a calibration model for count data with application to prediction of cancer incidence in areas without cancer registry.

There is a growing interest in using health care (HC) data to produce epidemiological surveillance indicators such as incidence. Typically, in the field of cancer, incidence is provided by local cancer registries which, in many countries, do not cover the whole territory; using proxy measures from available nationwide HC databases would appear to be a suitable approach to fill this gap. However, in most cases, direct counts from these databases do not provide reliable measures of incidence. To obtain accurate incidence estimations and prediction intervals, these databases need to be calibrated using a registry-based gold standard measure of incidence. This article presents a calibration model for count data developed to predict cancer incidence from HC data in geographical areas without cancer registries. First, the ratio between the proxy measure and incidence is modeled in areas with registries using a Poisson mixed model that allows for heterogeneity between areas (calibration stage). This ratio is then inverted to predict incidence from the proxy measure in areas without registries. Prediction error admits closed-form expression which accounts for heterogeneity in the ratio between areas. A simulation study shows the accuracy of our method in terms of prediction and coverage probability. The method is further applied to predict the incidence of two cancers in France using hospital data as the proxy measure. We hope this approach will encourage sound use of the usually imperfect information extracted from HC data.

Breast cancer screening programme participation and socioeconomic deprivation in France.

The objective was to quantify the relationship between deprivation and national breast cancer screening programme (NBCSP) participation at an ecological level in mainland France. Data from 4,805,390 women-living in 36,209 municipalities within 95 departments-participating in the 2013-2014 NBCSP were analysed using the French Deprivation Index (FDep). FDep population quintiles by municipality were computed to describe NBCSP participation according to deprivation. To better examine the relationship between continuous value of deprivation index and participation rates at the municipality level, we built a generalized linear mixed model. Geographical variations in participation rates were marked. The national standardized participation rate was higher in the intermediate quintiles (55%), 45% for the least deprived one and 52% for the most deprived one. Using our model, we also obtained an inverted U-curve for the relationship between NBCSP participation and municipality deprivation: participation was lower for both the least and most deprived municipalities. This relationship was also observed for each of the two subpopulations-urban municipalities and rural ones-considered separately. Introducing the FDep in the model reduced slightly the unexplained variations in participation rates between departments and between municipalities (with a proportional change in variance of 14% and 12% respectively). We highlight major disparities in departmental participation rates and FDep/participation profiles. However, deprivation appears to have only little influence on geographical variation in participation rates. There is a need to further understand the factors affecting geographical variation in participation rates, in particular the use of opportunistic screening.