{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ward ZJ"],"funding":["National Cancer Institute","NCI NIH HHS","National Health and Medical Research Council","Harvard T.H. Chan School of Public Health"],"pagination":["1301-1311"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8564714"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["22(9)"],"pubmed_abstract":["<h4>Background</h4>Female breast cancer is the most commonly diagnosed cancer in the world, with wide variations in reported survival by country. Women in low-income and middle-income countries (LMICs) in particular face several barriers to breast cancer services, including diagnostics and treatment. We aimed to estimate the potential impact of scaling up the availability of treatment and imaging modalities on breast cancer survival globally, together with improvements in quality of care.<h4>Methods</h4>For this simulation-based analysis, we used a microsimulation model of global cancer survival, which accounts for the availability and stage-specific survival impact of specific treatment modalities (chemotherapy, radiotherapy, surgery, and targeted therapy), imaging modalities (ultrasound,"],"journal":["The Lancet. Oncology"],"pubmed_title":["The impact of scaling up access to treatment and imaging modalities on global disparities in breast cancer survival: a simulation-based analysis."],"pmcid":["PMC8564714"],"funding_grant_id":["1177837","P30 CA008748"],"pubmed_authors":["Norton L","Scott AM","Shulman LN","McGinty G","Asante K","Sutton EJ","Atun R","Ward ZJ","Hricak H"],"additional_accession":[]},"is_claimable":false,"name":"The impact of scaling up access to treatment and imaging modalities on global disparities in breast cancer survival: a simulation-based analysis.","description":"<h4>Background</h4>Female breast cancer is the most commonly diagnosed cancer in the world, with wide variations in reported survival by country. Women in low-income and middle-income countries (LMICs) in particular face several barriers to breast cancer services, including diagnostics and treatment. We aimed to estimate the potential impact of scaling up the availability of treatment and imaging modalities on breast cancer survival globally, together with improvements in quality of care.<h4>Methods</h4>For this simulation-based analysis, we used a microsimulation model of global cancer survival, which accounts for the availability and stage-specific survival impact of specific treatment modalities (chemotherapy, radiotherapy, surgery, and targeted therapy), imaging modalities (ultrasound,","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Sep","modification":"2025-04-26T09:39:30.274Z","creation":"2024-11-21T10:29:29.699Z"},"accession":"S-EPMC8564714","cross_references":{"pubmed":["34416159"],"doi":["10.1016/S1470-2045(21)00403-4","10.1016/s1470-2045(21)00403-4"]}}