The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Breast cancer early detection: A phased approach to implementation
Open accessAbstract
When breast cancer is detected and treated early, the chances of survival are very high. However, women in many settings face complex barriers to early detection, including social, economic, geographic, and other interrelated factors, which can limit their access to timely, affordable, and effective breast health care services. Previously, the Breast Health Global Initiative (BHGI) developed resource‐stratified guidelines for the early detection and diagnosis of breast cancer. In this consensus article from the sixth BHGI Global Summit held in October 2018, the authors describe phases of early detection program development, beginning with management strategies required for the diagnosis of clinically detectable disease based on awareness education and technical training, history and physical examination, and accurate tissue diagnosis. The core issues address include finance and governance, which pertain to successful planning, implementation, and the iterative process of program improvement and are needed for a breast cancer early detection program to succeed in any resource setting. Examples are presented of implementation, process, and clinical outcome metrics that assist in program implementation monitoring. Country case examples are presented to highlight the challenges and opportunities of implementing successful breast cancer early detection programs, and the complex interplay of barriers and facilitators to achieving early detection for breast cancer in real‐world settings are considered.
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Bennett, J. E., Stevens, G. A., Mathers, C. D., Bonita, R., Rehm, J., Kruk, M. E., Riley, L. M., Dain, K., Kengne, A. P., Chalkidou, K., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31992-5 · Cited by 1,336
Cited by
Understanding breast cancer as a global health concern
Wilkinson, L., & Gathani, T. (2022) · The British Journal of Radiology · doi:10.1259/bjr.20211033 · Cited by 1,382
Importance of Cytopathologic Diagnosis in Early Cancer Diagnosis in Resource-Constrained Countries
Yadav, K., Cree, I., Field, A., Vielh, P., & Mehrotra, R. (2022) · JCO Global Oncology · doi:10.1200/go.21.00337 · Cited by 37
Self-citationToward AI-supported US Triage of Women with Palpable Breast Lumps in a Low-Resource Setting
Berg, W. A., López Aldrete, A.-L., Jairaj, A., Ledesma Parea, J. C., García, C. Y., McClennan, R. C., Cen, S. Y., Larsen, L. H., de Lara, M. T. S., & Love, S. (2023) · Radiology · doi:10.1148/radiol.223351 · Cited by 36
Sawhney, R., Nathani, P., Patil, P., Bhandarkar, P., Veetil, D. K., Venghateri, J. B., Roy, N., & Gadgil, A. (2023) · BMC Cancer · doi:10.1186/s12885-023-11359-3 · Cited by 27
Philipo, G. S., Vuhahula, E., Kimambo, A., Mmbaga, E. J., Van Loon, K., & Ng, D. L. (2021) · JCO Global Oncology · doi:10.1200/go.20.00279 · Cited by 14
Metadata
- Authors
- Ginsburg, O., Yip, C., Brooks, A., Cabanes, A., Caleffi, M., Dunstan Yataco, J. A., Gyawali, B., McCormack, V., McLaughlin de Anderson, M., Mehrotra, R., Mohar, A., Murillo, R., Pace, L. E., Paskett, E. D., Romanoff, A., Rositch, A. F., Scheel, J. R., Schneidman, M., Unger‐Saldaña, K., Vanderpuye, V., Wu, T., Yuma, S., Dvaladze, A., Duggan, C., & Anderson, B. O.
- Venue
- Cancer
- Publisher
- Wiley
- Published
- 2020-04-29
- Volume
- 126
- Issue
- S10
- Pages
- 2379-2393
- ISSN
- 0008-543X (ISSN-L)
- 1097-0142
- OpenAlex
- W3020578014
- Cited by
- 744
- References
- 1
- FWCI
- 24.78
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Ginsburg, O., Yip, C., Brooks, A., Cabanes, A., Caleffi, M., Dunstan Yataco, J. A., Gyawali, B., McCormack, V., McLaughlin de Anderson, M., Mehrotra, R., Mohar, A., Murillo, R., Pace, L. E., Paskett, E. D., Romanoff, A., Rositch, A. F., Scheel, J. R., Schneidman, M., Unger‐Saldaña, K., . . . Anderson, B. O. (2020). Breast cancer early detection: A phased approach to implementation. Cancer. https://doi.org/10.1002/cncr.32887
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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.