Analysis of the Breast Cancer Mortality Rate in Portugal Over a Decade: Spatiotemporal Clustering Analysis

Introduction: Breast cancer is the first cause of cancer-related death in Portuguese women. This study aimed to characterize female breast cancer mortality in Portugal in the period between 2002 and 2013, with a special focus on spatiotemporal patterns.Material and Methods: The breast cancer mortality rate was studied using descriptive analysis (unadjusted and age-adjusted), and spatiotemporal clustering analyses.Results: In 2002 – 2013 the breast cancer mortality rate was 28.47/100 000 inhabitants and the age-adjusted mortality rate was 19.46/100 000 inhabitants. In this period the Lisbon region (urban), Alentejo and Algarve (rural) presented higher breast cancer mortality rate, but Madeira (urban), Lisbon and Algarve had higher age-adjusted mortality rate. In the spatiotemporal analysis, the overall mortality rate showed an increasing trend of 1.218%/year, without spatial variations. Also, different patterns were detected in the < 50, 50 - 64 and ≥ 65 age-groups (+ 0.725%, - 1.781% and + 0.896%, respectively). One temporal (2004 – 2006) and one spatiotemporal cluster (North coast) presented significantly lower mortality rate than expected for the period and/or area (26.2 and 16.1/100 000 inhabitants, respectively). Conversely, two spatiotemporal clusters, located in the city of Lisbon (2002 – 2007) and in the Centre region (2008 – 2013), presented significantly higher breast cancer mortality rate than expected (48.6 and 34.9/100 000 inhabitants, relative risk: 1.74 and 1.26, respectively).Discussion: The annual female crude and adjusted breast cancer mortality rate matched previous publications. However the annual increase detected in the unadjusted rate clashes with the published literature. Overall, the presence of spatiotemporal clusters supports the uneven distribution of the breast cancer mortality reported previously in the different Portuguese regions.Conclusion: This study identified areas and trends of the female breast cancer mortality rate, showing high spatiotemporal variations that must support further detailed studies/interventions.

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A Study of Relationship Between Breast Cancer Mortality Rate and Human Development Index: Global Trend Analysis from 1990 to 2017

International Journal of Cancer Management ◽

10.5812/ijcm.101813 ◽

2020 ◽

Vol 13 (8) ◽

Author(s):

Zahra Zolghadr ◽

Masoud Salehi ◽

Afsaneh Dehnad ◽

Farid Zayeri

Keyword(s):

Breast Cancer ◽

Mortality Rate ◽

Cancer Mortality ◽

Human Development Index ◽

Breast Cancer Mortality ◽

Female Breast Cancer ◽

Development Status ◽

Female Breast ◽

Global Trend ◽

The Relationship

Background: Female breast cancer is known as one of the top five cancers in terms of mortality. Regarding contradictory reports about the mortality trend of this cancer and its association with the socio-economic status of the world countries, we aimed at assessing the global trend of female breast cancer mortality rate and investigate the relationship between its mortality rate and development status. Methods: The breast cancer Age Standardized Mortality Rate (ASMR) per 100,000 and Human Development Index (HDI) for 179 world countries were extracted, respectively from the Global Burden of Disease (GBD) 2017 study and the United Nations Development Programme (UNDP) database, for the period 1990 to 2017. The marginal modeling methodology was employed to analyze the global trend of ASMR and examine the relationship between ASMR and HDI. Results: The results showed a slightly constant curve for the global trend of breast cancer ASMR from 1990 to 2017 (around 17 per 100,000). Moreover, it was indicated that the ASMR is strongly related to development status. While countries with higher levels of HDI have experienced a declining trend of breast cancer mortality rate, countries with lower HDI levels experienced an ascending trend at this period. Conclusions: In general, the findings showed that mortality due to breast cancer is still a major health problem in total world countries. Hence, more efforts should be made to screen the patients in the early stages of the disease and promote the level of care, especially in countries with lower levels of economic development.

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Age-Specific Spatio-Temporal Patterns of Female Breast Cancer Mortality in Spain (1975–2005)

Annals of Epidemiology ◽

10.1016/j.annepidem.2010.07.102 ◽

2010 ◽

Vol 20 (12) ◽

pp. 906-916 ◽

Cited By ~ 15

Author(s):

María D. Ugarte ◽

Tomás Goicoa ◽

Jaione Etxeberria ◽

Ana F. Militino ◽

Marina Pollán

Keyword(s):

Breast Cancer ◽

Cancer Mortality ◽

Breast Cancer Mortality ◽

Temporal Patterns ◽

Female Breast Cancer ◽

Female Breast ◽

Spatio Temporal

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Time trends of female breast cancer mortality in Greece during 1980-2005: a population based study

Postgraduate Medical Journal ◽

10.1136/pgmj.2009.091728 ◽

2010 ◽

Vol 86 (1017) ◽

pp. 391-394 ◽

Cited By ~ 3

Author(s):

E. Pavlidou ◽

M. Zafrakas ◽

N. Papadakis ◽

T. Agorastos ◽

A. Benos

Keyword(s):

Breast Cancer ◽

Cancer Mortality ◽

Time Trends ◽

Breast Cancer Mortality ◽

Population Based ◽

Female Breast Cancer ◽

Population Based Study ◽

Female Breast

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Age–period–cohort effect on female breast cancer mortality in Southern Spain

Medical Oncology ◽

10.1007/s12032-013-0671-z ◽

2013 ◽

Vol 30 (3) ◽

Cited By ~ 3

Author(s):

Ricardo Ocaña-Riola ◽

José María Mayoral-Cortés ◽

Eulalia Navarro-Moreno

Keyword(s):

Breast Cancer ◽

Cancer Mortality ◽

Breast Cancer Mortality ◽

Cohort Effect ◽

Female Breast Cancer ◽

Southern Spain ◽

Female Breast

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Spatial Analysis of County-Level Breast Cancer Mortality in Texas

Journal of Environmental and Public Health ◽

10.1155/2012/959343 ◽

2012 ◽

Vol 2012 ◽

pp. 1-8 ◽

Cited By ~ 9

Author(s):

Arvind B. Bambhroliya ◽

Keith D. Burau ◽

Ken Sexton

Keyword(s):

Breast Cancer ◽

Cancer Mortality ◽

Breast Cancer Mortality ◽

Female Breast Cancer ◽

Southern Region ◽

Scan Statistics ◽

Mortality Data ◽

County Level ◽

Northeastern Region ◽

Female Breast

Objective. The objectives of the study were to detect high-risk areas and to examine how racial and ethnic status affect the geographic distribution of female breast cancer mortality in Texas. Analyses were based on county-level data for the years from 2000 to 2008.Materials and Methods. Breast cancer mortality data were obtained from the Texas Cancer Registry, and the Spatial Scan Statistics method was used to run Purely Spatial Analyses using the Discrete Poisson, Bernoulli, and Multinomial models.Results and Conclusions. Highest rates of female breast cancer mortality in Texas have shifted over time from southeastern areas towards northern and eastern areas, and breast cancer mortality at the county level is distributed heterogeneously based on racial/ethnic status. Non-Hispanic blacks were at highest risk in the northeastern region and lowest risk in the southern region, while Hispanics were at highest risk in the southern region along the border with Mexico and lowest risk in the northeastern region.

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