Relationship between socioeconomic status and prostate cancer (incidence, aggressiveness, treatment with curative intent, and mortality): a spatial analysis using population-based cancer registry data.

Author(s):  
H. Ben Khadhra ◽  
F. Saint ◽  
E. Trecherel ◽  
B. Lapôtre-Ledoux ◽  
S. Zerkly ◽  
...  
2013 ◽  
Vol 14 (9) ◽  
pp. 5367-5370 ◽  
Author(s):  
Alireza Mosavi-Jarrahi ◽  
Toraj Ahmadi-Jouibari ◽  
Farid Najafi ◽  
Yadollah Mehrabi ◽  
Abbas Aghaei

2019 ◽  
Author(s):  
Ines Mesa-Eguiagaray ◽  
Sarah H Wild ◽  
Philip S. Rosenberg ◽  
Sheila M Bird ◽  
David H Brewster ◽  
...  

AbstractBackgroundStrategies for breast cancer prevention are informed by assessing whether incidence differs by tumour biology. We describe temporal trends of breast cancer incidence by molecular subtypes in Scotland.MethodsPopulation-based cancer registry data on 72,217 women diagnosed with incident primary breast cancer from 1997 to 2016 were analysed. Age-standardised rates (ASR) and age-specific incidence were estimated by tumour subtype after imputing the 8% of missing oestrogen receptor (ER) status. Joinpoint regression and age- period- cohort models were used to assess whether significant differences were observed in incidence trends by ER status.ResultsER positive tumour incidence steadily increased particularly for women of screening age 50 to 69 years from 1997 till around 2011 (1.6%/year, 95%CI: 1.2 to 2.1). ER negative incidence decreased among all ages at a consistent rate of −0.7%/year (95%CI: −1.5, 0) from around 2000-2016. Compared to the 1941-1959 central birth cohort, women born 1912-1940 had lower incidence rate ratios (IRR) for ER+ tumours and women born 1960- 1986 had higher IRR for ER- tumours.ConclusionsWe show evidence of aetiologic heterogeneity of breast cancer. Future incidence and survival reporting should be monitored by molecular subtypes.


2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 66s-66s
Author(s):  
H. Ben Khadhra ◽  
F. Saint ◽  
E. Trecherel ◽  
B. Lapotre-Ledoux ◽  
S. Zerkly ◽  
...  

Background: In France, prostate cancer is at the top of the list of the most common cancers in men. The morbidity and mortality of this cancer were found to be related to the geographic level of socioeconomic deprivation with a higher rate of mortality and more frequent aggressive cases among men with low socioeconomic level, this was associated with health disparities in the management of this cancer. Our study region is considered as an economically deprived area with a poverty rate significantly higher than the national average. Aim: The aim of our study was to assess the impact of the socioeconomic level on the incidence, mortality, aggressiveness and management of prostate cancer, using data from a population-based cancer registry. Methods: For this research, prostate cancer data, between 2006 and 2010, were obtained from the Somme area cancer registry. Social economic status was assessed using the European Deprivation Index (EDI). This index has been used to classify each geographical unit (IRIS) according to social deprivation. IRIS is the smallest submunicipal geographical entity for which census data are available. Each prostate cancer case was allocated to the corresponding IRIS by geolocalizing the addresses using geographic information system (GIS). For spatial analysis, hierarchical generalized linear modeling was fitted. To assess for spatial autocorrelation, Moran's I test was conducted and then spatial autocorrelation was modeled by a set of random effects that are assigned a conditional autoregressive (CAR) prior distribution. Results: A total of 2405 incident cases of prostate cancer were registered in the Somme area. The age-standardized rate was 98.2 cases per 100,000 person-years (PY). The standardized mortality rate was 28.1 deaths per 105 PY. The coefficient associated with the EDI obtained from the spatial analysis of prostate cancer incidence was negative (-0.348; 95% CI: −0.0831) which indicates that prostate cancer incidence was more important in the less deprived areas. The relative risk of prostate cancer mortality associated with the quintile 5 of the EDI relatively to quintile 1 was 3.09; 95% CI: [1.70-5.59]. For the aggressiveness, the coefficient associated with the EDI was 0.0493 with a 95% CI: [0.0162-0.0810], and the Q5/Q1 RR was equal to 1.36 95% CI: [1.09-1.73]. EDI estimated coefficient for proportion of cases who received curative treatment versus patients who received palliative treatment was −0.1089, 95 CI%: [−0.1505 to −0.0693]. EDI coefficient for waiting time was not significant. Conclusion: Our study showed a significant association between socioeconomic deprivation and prostate cancer with worse outcomes among men with the lowest socioeconomic status. Geographical differences in screening rate could explain this pattern. More in-depth research with a source data review is required to know precisely the determinism of this association and therefore adjust the eventual disparities.


2014 ◽  
Vol 17 (7) ◽  
pp. A733
Author(s):  
H Xiao ◽  
F Tan ◽  
G Adunlin ◽  
AA Ali ◽  
P Goovaerts ◽  
...  

2015 ◽  
Vol 26 ◽  
pp. vi96
Author(s):  
B.M. Donida ◽  
F. Buffoli ◽  
C. Caminiti ◽  
M. Grassi ◽  
W. Liguigli ◽  
...  

2020 ◽  
Vol 128 (10) ◽  
pp. 107004
Author(s):  
Nathan C. Coleman ◽  
Richard T. Burnett ◽  
Majid Ezzati ◽  
Julian D. Marshall ◽  
Allen L. Robinson ◽  
...  

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