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Cited by 1,382

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Understanding breast cancer as a global health concern

Open access
Wilkinson, Louise, Gathani, Toral·2022·The British Journal of Radiology

Abstract

Breast cancer is now the most commonly diagnosed cancer in the world. The most recent global cancer burden figures estimate that there were 2.26 million incident breast cancer cases in 2020 and the disease is the leading cause of cancer mortality in women worldwide. The incidence is strongly correlated with human development, with a large rise in cases anticipated in regions of the world that are currently undergoing economic transformation. Survival, however, is far less favourable in less developed regions. There are a multitude of factors behind disparities in the global survival rates, including delays in diagnosis and lack of access to effective treatment. The World Health Organization’s new Global Breast Cancer Initiative was launched this year to address this urgent global health challenge. It aims to improve survival across the world through three pillars: health promotion, timely diagnosis, and comprehensive treatment and supportive care. In this article, we discuss the key challenges of breast cancer care and control in a global context.

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Metadata

Authors
Wilkinson, L., & Gathani, T.
Venue
The British Journal of Radiology
Published
2021-12-14
Volume
95
Issue
1130
Pages
20211033-20211033
ISSN
  • 0007-1285 (ISSN-L)
  • 1748-880X
OpenAlex
W4200483382
Cited by
1,382
References
16
FWCI
55.60
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Understanding breast cancer as a global health concern. https://app.cochat.ai/papers/10.1259/bjr.20211033
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Wilkinson, L., & Gathani, T. (2022). Understanding breast cancer as a global health concern. The British Journal of Radiology. https://doi.org/10.1259/bjr.20211033

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.