{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:06:35Z","timestamp":1792785995814,"version":"4.5.0"},"reference-count":29,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T00:00:00Z","timestamp":1787356800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Tata Memorial Hospital","award":["DCA\/CSU\/2016\/02"],"award-info":[{"award-number":["DCA\/CSU\/2016\/02"]}],"id":[{"id":"https:\/\/ror.org\/010842375","id-type":"ROR","asserted-by":"crossref"}]},{"DOI":"10.13039\/100005921","name":"IARC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005921","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Global Health Working Group at the Medical Faculty, Martin-Luther-University Halle-Wittenberg","id":[{"id":"https:\/\/ror.org\/05gqaka33","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>In limited-resource settings with high cancer mortality, conditional survival, which is the probability of surviving given on survival after a certain period of time since diagnosis, can provide a patient-centered and clinically relevant prognosis indicator. We aimed to benchmark breast cancer prognosis using conditional survival estimates in Africa, Central and South America, and Asia.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We included data for 197\u00a0766 women with breast cancer diagnosed in 2008-2012, from 53 population-based cancer registries with at least 3\u2009years of follow-up across 22 countries. We estimated 3-year age-standardized net survival at diagnosis and 1-year post-diagnosis using period approach.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In all countries, 3-year survival estimates improved for women with breast cancer who had survived 1\u2009year as compared with the 3-year survival estimates at diagnosis. Countries with poorer initial survival showed the largest increases in conditional survival at 3\u2009years with the highest improvement seen in Zimbabwe (68% vs 57%), Mauritius (90% vs 83%), India (80% vs 74%), and Malaysia (83% vs 77%, conditional and at diagnosis survival, respectively). Improvement in survival was mainly found among women \u226570\u2009years. Inequalities in survival across countries persisted, whereas 6 out of 10 countries of the Americas and 4 out of 8 Asian countries had conditional survival &amp;gt;90%; this was observed only in 1 out of 4 African countries.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our results highlight the importance of early care on improving breast cancer survival over time and serve as a resource for physicians and patients who are seeking an updated indicator of breast cancer prognosis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jnci\/djag294","type":"journal-article","created":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T11:52:26Z","timestamp":1787226746000},"source":"Crossref","is-referenced-by-count":0,"title":["Benchmarking female breast cancer survival in Africa, Central and South America, and Asia 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