2 research outputs found

    Geographical and socioeconomic inequalities in female breast cancer incidence and mortality in Iran: A Bayesian spatial analysis of registry data

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    Background In Iran, trends in breast cancer incidence and mortality have generally been monitored at national level. The purpose of this study is to examine province-level disparities in age-standardised breast cancer incidence versus mortality from 2000 to 2010 and their association with socioeconomic status. Methods In this study, data from Iran’s national cancer and death registry systems, and covariates from census and household expenditure surveys were used. We estimated the age-standardised incidence and mortality rates in women aged more than 30 years for all 31 provinces in the consecutive time intervals 2000–2003, 2004–2007 and 2008–2010 using a Bayesian spatial model. Results Mean age-standardised breast cancer incidence across provinces increased over time from 15.0 per 100,000 people (95% credible interval 12.0,18.3) in 2000–2003 to 39.6 (34.5,45.1) in 2008–2010. The mean breast cancer mortality rate declined from 10.9 (8.3,13.8) to 9.9 (7.5,12.5) deaths per 100,000 people in the same period. When grouped by wealth index quintiles, provinces in the highest quintile had higher levels of incidence and mortality. In the wealthiest quintile, reductions in mortality over time were larger than those observed among provinces in the poorest quintile. Relative breast cancer mortality decreased by 16.7% in the highest quintile compared to 10.8% in the lowest quintile. Conclusions Breast cancer incidence has increased over time, with lower incidence in the poorest provinces likely driven by underdiagnoses or late-stage diagnosis. Although the reported mortality rate is still higher in wealthier provinces, the larger decline over time in these provinces indicates a possible future reversal, with the most deprived provinces having higher mortality rates. Ongoing analysis of incidence and mortality at sub-national level is crucial in addressing inequalities in healthcare systems and public health both in Iran and elsewhere

    Epidemiology of hepatitis B in Iran from 2000 to 2016: A systematic review and meta-regression analysis

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    Background: Hepatitis B infection is the major risk factor for liver cancer in Iran. There is no comprehensive population-based study on the prevalence of hepatitis B by regional distribution. Moreover, systematic reviews of hepatitis B prevalence lack knowledge of some regions. We aimed to estimate the prevalence of hepatitis B and its temporal trends over 17 years by sex, age and geographical distribution. Methods: We used the Iranian Blood Donors data in addition to systematic reviews on population-based studies at national and provincial levels and statistical methods (A two-stage spatio-temporal model and crosswalk approach) to address the missing points of hepatitis B prevalence among the general population. The direct age-standardized approach was applied using Iran's national population in 2016. Results: At national level, age-standardized hepatitis B prevalence in Iran decreased from 3.02 (95 uncertainty interval; 2.26 to 3.96) in 2000 to 1.09 (95 uncertainty interval; 0.85 to 1.37) in 2016, with a total -64.84 change. Hepatitis B prevalence was more than 1.3 times greater in males than females in 2016. Overall, the prevalence of hepatitis B increased with increasing age. At provincial level, in 2016, the province with the highest prevalence had a nearly 11-time greater rate compared to the lowest prevalence. The declining annual percent change (APC) of the prevalence trend varied between -11.53 to -0.5 at provincial level from 2000 to 2016. Only one province did not witness a downward trend in which the APC was 0.5 (95 UI:0.47-0.54). Conclusion: The downward trend in prevalence of hepatitis B infection indicates the effectiveness of strategies and preventive measures adapted in Iran. Nevertheless, we need to eradicate this infection. In this regard, re-evaluating preventive measures, especially in high-risk age groups of the population, is recommended. © 2020 The Author(s)
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