Literature DB >> 28498324

Geographical Variation in Breast Cancer Outcomes.

Peter Baade1.   

Abstract

n/a.

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Year:  2017        PMID: 28498324      PMCID: PMC5451974          DOI: 10.3390/ijerph14050523

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


Among females worldwide, breast cancer is the most frequently diagnosed cancer, accounting for 25% of all new diagnoses in 2012, and is the leading cause of cancer mortality (15% of total cancer deaths), particularly among less developed nations [1]. Incidence rates of breast cancer are generally higher in Northern America, Australia/New Zealand, and Northern and Western Europe, and lower in most African and Asian countries [2]. Factors associated with this international variation in incidence include those related to early detection, particularly the availability of mammography screening, as well as the prevalence of established risk factors, including overweight/obesity, use of menopausal hormone therapy, physical inactivity, and alcohol consumption [3]. There is, however, less international variation in breast cancer mortality rates, mainly because the countries with very high incidence also have high survival [1]. In many Western countries, mortality rates due to breast cancer are stable reducing, which has been attributed to the role of some combination of early detection using mammographic screening and improved treatment [3]. In contrast, mortality rates in many South American, African, and Asian countries are increasing [3]. While the international variation in incidence and mortality between countries is well documented, an increasing number of international studies [4,5,6] have consistently highlighted geographical inequalities within countries across the breast cancer continuum of care. Despite this, there is much still unknown. This Special Issue of the IJERPH titled “Geographical Variation in Breast Cancer Outcomes” provided an avenue for researchers to describe recent research studies designed to better understand the extent of these inequalities from a local, regional and international perspective, and, collectively, to increase our understanding of what factors are contributing to these inequalities. Reflecting the wide scope and complexities of the breast cancer pathway, the twelve studies included in this Special Issue covered a variety of measures including screening [7], incidence [8], stage at diagnosis [9,10,11], quality of life [12], diagnostic interval [13], hormonal profile [14], surgical treatment [15], survival [9,10,16], and mortality [17,18]. Pleasingly, the included studies reported geographical patterns across a wide range of international environments, including Europe [7,12,17], North America [8,11,16], Asia [9,14,18], and the Oceania region [10,13,15]. If the diverse combination of measures and geographical scope limited our ability to report on common themes, this was made even more difficult by the differing methods of defining geographical variation across the studies. Types of comparisons included high income vs. middle to low income areas [7], public vs. private hospitals [9], measures of spatial clustering and variation [8,11,17], urban vs. rural areas [10,12,13], neighbourhood poverty [16], area disadvantage [13,15], housing type [14], variation between regions [18] and accessibility [15]. There are some disadvantages in having such a wide scope. For example, it was not possible to provide a consensus perspective of how the geographical patterns for key measures vary internationally. Direct comparisons across studies was difficult. However, rather than adding to the confusion, this heterogeneity of measures, geographies and approaches only served to confirm a remarkably consistent message that where women live has an impact on their experience and outcomes associated with breast cancer. Tellingly, those women who live in areas that are disadvantaged in some general way, whether economically, geographically or in regard to access to general services, also face poorer outcomes for breast cancer. These results should provide motivation to act. First, to conduct more focussed research to better understand the reasons why these inequalities occur, and how they can be reduced. To this end, it would be advantageous to increase the use of similar methods and geographical entities across studies in different countries to facilitate direct comparisons; understanding why the extent of geographical variation differs between countries can provide important insights into the underlying causes of that variation. Second, to recognise that this knowledge forms only part of the equation. Unless knowledge converts into intervention by governments, policy makers, health professionals and other support personnel, then the type of research such as included in this Special Issue has served little purpose. It is my hope that by providing novel insights into the geographical inequalities in breast cancer outcomes across the world, the twelve studies included in this Special Issue add to the weight of evidence that will motivate change to reduce these inequalities.
  16 in total

Review 1.  The descriptive epidemiology of female breast cancer: an international comparison of screening, incidence, survival and mortality.

Authors:  Danny R Youlden; Susanna M Cramb; Nathan A M Dunn; Jennifer M Muller; Christopher M Pyke; Peter D Baade
Journal:  Cancer Epidemiol       Date:  2012-03-27       Impact factor: 2.984

Review 2.  Rural residence and cancer outcomes in the United States: issues and challenges.

Authors:  Ashley Meilleur; S V Subramanian; Jesse J Plascak; James L Fisher; Electra D Paskett; Elizabeth B Lamont
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10       Impact factor: 4.254

Review 3.  Disparities in breast cancer stage at diagnosis in urban and rural adult women: a systematic review and meta-analysis.

Authors:  Sallyanne Nguyen-Pham; Janni Leung; Deirdre McLaughlin
Journal:  Ann Epidemiol       Date:  2013-12-28       Impact factor: 3.797

4.  Urban Rural Differences in Breast Cancer in New Zealand.

Authors:  Ross Lawrenson; Chunhuan Lao; Mark Elwood; Charis Brown; Diana Sarfati; Ian Campbell
Journal:  Int J Environ Res Public Health       Date:  2016-10-11       Impact factor: 3.390

5.  Hispanic and Immigrant Paradoxes in U.S. Breast Cancer Mortality: Impact of Neighborhood Poverty and Hispanic Density.

Authors:  Sandi L Pruitt; Jasmin A Tiro; Lei Xuan; Simon J Craddock Lee
Journal:  Int J Environ Res Public Health       Date:  2016-12-14       Impact factor: 3.390

6.  Associations of Breast Cancer Risk Factors with Premenopausal Sex Hormones in Women with Very Low Breast Cancer Risk.

Authors:  Lauren C Houghton; Davaasambuu Ganmaa; Philip S Rosenberg; Dambadarjaa Davaalkham; Frank Z Stanczyk; Robert N Hoover; Rebecca Troisi
Journal:  Int J Environ Res Public Health       Date:  2016-10-31       Impact factor: 3.390

7.  Advanced Stage at Presentation Remains a Major Factor Contributing to Breast Cancer Survival Disparity between Public and Private Hospitals in a Middle-Income Country.

Authors:  Yek-Ching Kong; Nirmala Bhoo-Pathy; Shridevi Subramaniam; Nanthini Bhoo-Pathy; Nur Aishah Taib; Suniza Jamaris; Kiran Kaur; Mee-Hoong See; Gwo-Fuang Ho; Cheng-Har Yip
Journal:  Int J Environ Res Public Health       Date:  2017-04-16       Impact factor: 3.390

8.  Modeling Geospatial Patterns of Late-Stage Diagnosis of Breast Cancer in the US.

Authors:  Lee R Mobley; Tzy-Mey Kuo; Lia Scott; Yamisha Rutherford; Srimoyee Bose
Journal:  Int J Environ Res Public Health       Date:  2017-05-05       Impact factor: 3.390

Review 9.  Breast Cancer Screening Programmes across the WHO European Region: Differences among Countries Based on National Income Level.

Authors:  Emma Altobelli; Leonardo Rapacchietta; Paolo Matteo Angeletti; Luca Barbante; Filippo Valerio Profeta; Roberto Fagnano
Journal:  Int J Environ Res Public Health       Date:  2017-04-23       Impact factor: 3.390

10.  Geospatial Analysis of Inflammatory Breast Cancer and Associated Community Characteristics in the United States.

Authors:  Lia Scott; Lee R Mobley; Dora Il'yasova
Journal:  Int J Environ Res Public Health       Date:  2017-04-11       Impact factor: 3.390

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  2 in total

1.  Identification of candidate biomarkers correlated with poor prognosis of breast cancer based on bioinformatics analysis.

Authors:  Gang Chen; Mingwei Yu; Jianqiao Cao; Huishan Zhao; Yuanping Dai; Yizi Cong; Guangdong Qiao
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

2.  Effects of Ulinastatin on Proliferation and Apoptosis of Breast Cancer Cells by Inhibiting the ERK Signaling Pathway.

Authors:  Zeyu Xing; Xin Wang; Jiaqi Liu; Gang Liu; Menglu Zhang; Kexin Feng; Xiang Wang
Journal:  Biomed Res Int       Date:  2021-07-30       Impact factor: 3.411

  2 in total

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