Impact du statut socioéconomique sur la gravité du diagnostic initial de cancer du sein

Educational level and characteristics of invasive breast cancer: findings from a French prospective cohort

PURPOSE

Breast cancer (BC) characteristics are known to influence patients survival. Social differences have been reported by previous studies for those characteristics but questions persist because of inconsistent conclusions. We aimed to investigate the impact of education on BC stage, grade, and hormone receptor (HR) status, while adjusting for potential confounders including a broad set of health behaviors, anthropometric measures, and reproductive factors.

METHODS

In the French E3N cohort, 5236 women developed a primary invasive BC for which there was available information on stage, grade, and HR status. No multivariate analyses was performed for BC stage based on the lack of association in bivariate analyses. Odds ratios and confidence intervals were estimated using multinomial logistic regression models for BC grade or binomial logistic regression models for HR status of BC.

RESULTS

Women with a lower education were diagnosed with higher grade BC compared to women with a higher education (1.32 [1.12; 1.57]). This association was slightly attenuated after adjustment for covariates independently and more strongly affected in the fully adjusted model (1.20 [0.99; 1.45]). A significant association was observed between lower education and HR- status of BC (1.20 [1.02; 1.42]) attenuated after adjustment for age at first childbirth (1.12 [0.95; 1.33]).

CONCLUSION

In this cohort, education was associated with BC grade and HR status but not stage at diagnosis. The link between education and BC grade was not entirely explained by the different adjustments. A specific mechanism could be at play and deserves further investigations.

A Multi-centric retrospective study into the epidemiological distribution of breast cancer patients in India

BACKGROUND

A multicentric private hospital-based retrospective study was conducted to understand the epidemiology of breast cancer in terms of demographics and clinical characteristics (staging and hormone receptor status) at the time of diagnosis.

METHODS

The data for 5,688 female breast cancer patients were collected from the hospital and clinical records of four study centres. All statistical analysis was performed using Microsoft Excel 2016 and R software. Survival was estimated by the Kaplan-Meier method and compared by the log-rank test. A P value of <.05 was considered statistically significant.

RESULTS

The mean and median age of the study population was 52.6 (± 12.4) years and 53.0 (range 51-54 across the four centers) years, respectively. About 68% of patients were in the age category of 41 65 years, 17.6% were <40 years old among whom 23.4% of patients reported a positive family history. Most of the patients (66.3%) were diagnosed at an early stage (Stage I and II). The 3-year OS probability was 100%, 97.5%, 94.1%, and 74.7% for TNM Stages I, II, III, and IV, respectively. The 3-year RFS was 95.7%, 95.5%, 84.5%, and 49% for TNM Stages I, II, III, and IV, respectively.

CONCLUSION

The present study highlights the epidemiological distribution of breast cancer patients. It emphasizes the importance of disease awareness among the urban and educated female population as most patients were diagnosed at earlier stages and demonstrated higher OS and RFS than reported in government registries.

Using ecological socioeconomic position (SEP) measures to deal with sample bias introduced by incomplete individual-level measures: inequalities in breast cancer stage at diagnosis as an example

BACKGROUND

When studying the influence of socioeconomic position (SEP) on health from data where individual-level SEP measures may be missing, ecological measures of SEP may prove helpful. In this paper, we illustrate the best use of ecological-level measures of SEP to deal with incomplete individual level data. To do this we have taken the example of a study examining the relationship between SEP and breast cancer (BC) stage at diagnosis.

METHODS

Using population based-registry data, all women over 18 years newly diagnosed with a primary BC in 2007 were included. We compared the association between advanced stage at diagnosis and individual SEP containing missing data with an ecological level SEP measure without missing data. We used three modelling strategies, 1/ based on patients with complete data for individual-SEP (n = 1218), or 2/ on all patients (n = 1644) using an ecological-level SEP as proxy for individual SEP and 3/ individual-SEP after imputation of missing data using an ecological-level SEP.

RESULTS

The results obtained from these models demonstrate that selection bias was introduced in the sample where only patients with complete individual SEP were included. This bias is redressed by using ecological-level SEP to impute missing data for individual SEP on all patients. Such a strategy helps to avoid an ecological bias due to the use of aggregated data to infer to individual level.

CONCLUSION

When individual data are incomplete, we demonstrate the usefulness of an ecological index to assess and redress potential selection bias by using it to impute missing individual SEP.

Accès au premier traitement : apport d’un centre de prise en charge rapide

Pour une patiente porteuse d’un cancer du sein, l’accès au premier traitement comprend plusieurs étapes : établissement d’un diagnostic anatomopathologique, annonce et établissement du plan personnalisé de soins, bilans préthérapeutiques, accès au plateau technique. La durée du délai global de ce parcours intervient dans le pronostic de la maladie pour les stades précoces. De plus, il convient de gérer toutes les incertitudes, diagnostiques puis pronostiques, qui vont inévitablement bouleverser l’équilibre psychologique de la patiente. À la lumière des écrits, des recommandations et de l’expérience de plus de 20 ans d’un centre multidisciplinaire, les auteurs proposent une organisation de centre expert de prise en charge de la personne avec suspicion de cancer du sein, dans son intégralité somatique et psychique.

Social vulnerability and breast cancer: differentials in the interval between diagnosis and treatment of women with different sociodemographic profiles

This study aimed to identify the sociodemographic profiles of women diagnosed as breast cancer in the city of Belo Horizonte and to investigate its association with interval between diagnosis and treatment. A cross-sectional study from hospital records of 715 patients undergoing treatment between 2010 and 2013. Cluster analysis was used to delineate the profiles from the variables: age, color of the skin, education and cost of treatment. The association between profiles and intervals was investigated using multinomial logistic regression. Five profiles were identified: A (white skin color, years of schooling >15 and treatment through private healthcare systems); B (white skin color, years of schooling = 11 and treatment through the Unified National Health System (SUS); C and D (brown skin color, years of schooling = 11 and < 8 respectively, and SUS); E (black skin color, years of schooling < 8, and SUS). Profiles B, C, D and E were associated with increased diagnosis-to-treatment intervals regardless of cancer staging upon diagnosis; and profile E had 37- fold higher chances of interval > 91 days (OR: 37.26; 95% CI:11.91-116.56). Breast cancer patients with social vulnerability profiles wait longer for treatment even after overcoming barriers to access oncology units.

Ability of ecological deprivation indices to measure social inequalities in a French cohort

Background

Despite the increasing interest in place effect to explain health inequalities, there is currently no consensus on which kind of area-based socioeconomic measures researchers should use to assess neighborhood socioeconomic position (SEP). The study aimed to evaluate the reliability of different area-based deprivation indices (DIs) in capturing socioeconomic residential conditions of French elderly women cohort.

Methods

We assessed area-based SEP using 3 DIs: Townsend Index, French European Deprivation Index (FEDI) and French Deprivation index (FDep), among women from E3N (Etude épidémiologique auprès des femmes de la Mutuelle Générale de l’Education Nationale). DIs were derived from the 2009 French census at IRIS level (smallest geographical units in France). Educational level was used to evaluate individual-SEP. To evaluate external validity of the 3 DIs, associations between two well-established socially patterned outcomes among French elderly women (smoking and overweight) and SEP, were compared. Odd ratios were computed with generalized estimating equations to control for clustering effects from participants within the same IRIS.

Results

The analysis was performed among 63,888 women (aged 64, 47% ever smokers and 30% overweight). Substantial agreement was observed between the two French DIs (Kappa coefficient = 0.61) and between Townsend and FEDI (0.74) and fair agreement between Townsend and FDep (0.21). As expected among French elderly women, those with lower educational level were significantly less prone to be ever smoker (Low vs. High; OR [95% CI] = 0.43 [0.40–0.46]) and more prone to being overweight (1.89 [1.77–2.01]) than women higher educated. FDep showed expected associations at area-level for both smoking (most deprived vs. least deprived quintile; 0.77 [0.73–0.81]) and overweight (1.52 [1.44–1.62]). For FEDI opposite associations with smoking (1.13 [1.07–1.19]) and expected association with overweight (1.20 [1.13–1.28]) were observed. Townsend showed opposite associations to those expected for both smoking and overweight (1.51 [1.43–1.59]; 0.93 [0.88–0.99], respectively).

Conclusion

FDep seemed reliable to capture socioeconomic residential conditions of the E3N women, more educated in average than general French population. Results varied strongly according to the DI with unexpected results for some of them, which suggested the importance to test external validity before studying social disparities in health in specific populations.

Electronic supplementary material

The online version of this article (10.1186/s12889-017-4967-3) contains supplementary material, which is available to authorized users.

Asthma exacerbations and socio-economic status in French adults with persistent asthma: A prospective cohort study

INTRODUCTION

Adults disadvantaged by poor socio-economic status (SES) are more severely affected by asthma compared to those with better SES. We aimed to determine whether the frequency of asthma exacerbations (AEx), as well as aspects related to AEx management, differed based on SES in patients treated with daily treatments.

METHODS

This study, part of the prospective observational cohort ASTRO-LAB, included French adult patients with persistent asthma. Patients were considered as low SES if they benefited from publicly funded special health insurance and/or were perceived as low SES by their general practitioner. AEx was defined as at least one of the following: asthma-related oral corticosteroid course, medical contact, hospitalization, and death. We examined associations between SES and AEx frequency, perceived triggering factors and type of medical contact after AEx.

RESULTS

In our sample of 255 patients, 11.40% were considered as low SES. Patients with low SES did not report significantly more AEx than medium/high SES patients during one-year follow-up (0.79 versus 0.55, p = 0.38). The type of medical contact during AEx differed significantly between the two groups (p = 0.03): patients with medium/high SES consulted their general practitioner more frequently (OR = 2.23, 95% CI = 0.91-5.50, p = 0.08) and were less likely to visit an emergency department or be hospitalized (OR = 0.27, 95% CI = 0.09-0.84, p = 0.02).

CONCLUSIONS

AEx frequency did not differ significantly between low and medium/high SES patients, but differences were found in the management of AEx. Studies are needed to better understand the relation between precariousness and management of asthma.

[The human and economic burden of cancer in France in 2014, based on the Sniiram national database]

INTRODUCTION

The national health insurance information system (Sniiram) can be used to estimate the national medical and economic burden of cancer. This study reports the annual rates, characteristics and expenditure of people reimbursed for cancer.

METHODS

Among 57 million general health scheme beneficiaries (86% of the French population), people managed for cancer were identified using algorithms based on hospital diagnoses and full refund for long-term cancer. The reimbursed costs (euros) related to the cancer, paid off by the health insurance, were estimated.

RESULTS

In 2014, 2.491 million people (4.4%) covered by the general health scheme had a cancer managed (men 1.1 million, 5.1%; women 1.3 million, 4.9%). The annual (2012-2014) average growth rate of patients was 0.8%. The spending related to the cancer was 13.5 billion: 5 billion for primary health care (drugs 2.3 billion), 7.5 billion for the hospital (drugs 1.3 billions) and 900 million for sick leave and invalidity pensions. Spending annual average growth rate (2012-2014) was 4% (drugs 2%). The rates of patients and the relative spending were 1.8% and 2.5 billion for the breast cancer (women), 1.5% and 1.0 billion for prostate cancer, 0.9% and 1.5 billion for the colon cancer, and 0.19% and 1.3 billion for lung cancer.

DISCUSSION

Cancers establish one of the first groups of chronic diseases pathologies in terms of patients and spending. If the numbers of patients remain stables, the spending increases, mainly for medicines.

Are disparities of waiting times for breast cancer care related to socio-economic factors? A regional population-based study (France)

The increasing number of breast cancer cases may induce longer waiting times (WT), which can be a source of anxiety for patients and may play a role in survival. The aim of this study was to examine the factors, in particular socio-economic factors, related to treatment delays. Using French Cancer Registry databases and self-administered questionnaires, we included 1,152 women with invasive non-metastatic breast cancer diagnosed in 2007. Poisson regression analysis was used to identify WTs' influencing factors. For 973 women who had a malignant tissue sampling, the median of overall WT between the first imaging procedure and the first treatment was 44 days (9 days for pathological diagnostic WT and 31 days for treatment WT). The medical factors mostly explained inequalities in WTs. Socio-economic and behavioral factors had a limited impact on WTs except for social support which appeared to be a key point. Better identifying the factors associated with increase in WTs will make it possible to develop further interventional or prospective studies to confirm their causal role in delay and at last reduce disparities in breast cancer management.

Age-related socio-economic and geographic disparities in breast cancer stage at diagnosis: a population-based study

BACKGROUND

This study aimed to determine the impact of socio-economic and geographic disparities on disease stage at diagnosis according to age in breast cancer (BC) patients. Secondary purpose was to describe survival

METHODS

All women with primary invasive BC, diagnosed from 1998 to 2009 in the department of Côte d'Or were retrospectively selected using data from the Côte d'Or BC registry. European transnational ecological deprivation index (French European Deprivation Index) was used to measure the socio-economic environment. Relationships between socio-geographic deprivation and disease stage at diagnosis according to age were assessed by a multilevel ordered logistic regression model. Relative survival rates (RSRs) were given at 5 years according to tumour and patients characteristics.

RESULTS

In total, 4364 women were included. In multivariable analysis, socio-economic deprivation was associated with disease stage at diagnosis. Women aged between 50 and 74 years and living in deprived areas were more often diagnosed with advanced tumour stages (stages II/III vs. I or stages IV vs. II/III) with odds ratio = 1.27 (1.01-1.60). RSRs were lowest in women living in the most deprived area compared with those living in most affluent area with RSR = 88.4% (85.9-90.4) and 92.6% (90.5-94.2), respectively.

CONCLUSIONS

Socio-economic factors affected tumour stage at diagnosis and survival. Living in a deprived area was linked to advanced-stage BC at diagnosis only in women aged 50-74 years. This is probably due to the socio-economic disparities in participation in organized BC screening programmes. Furthermore, living in deprived area was associated with a poor survival rate.