{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T15:43:12Z","timestamp":1778254992520,"version":"3.51.4"},"reference-count":32,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T00:00:00Z","timestamp":1765584000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Witwatersrand Common Epithelial Cancer Research Center"},{"name":"German Federal Ministry of  Research, Technology and Space","award":["01KA2220B"],"award-info":[{"award-number":["01KA2220B"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Breast cancer survival rates in sub-Saharan Africa are low. In a prospective, multi-center cohort study, we estimated 5-year overall survival rates, overall survival determinants, and mediating effects between socioeconomic status on overall survival among South African women diagnosed with invasive BC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Patients and methods<\/jats:title>\n                    <jats:p>Patients from 4 public hospitals were enrolled between July 1, 2015 and January 31, 2019. Survival determinants were assessed using Cox proportional hazard models adjusted for age, background mortality, and treatments. Socioeconomic pathway effects on overall survival were determined through generalized structural equation models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Of 2838 participants, 58% had advanced-stage (III\/IV) disease. Five-year crude overall survival was 44.3% (95% CI 42.5-46.2). Significant mortality risks were late stage at diagnosis (hazard ratio [HR] = 2.31 [95% CI 1.99-2.69] [stage III]; 4.79 [95% CI 3.96-5.80] [stage IV]), HIV-positive status (HR = 1.45 [95% CI 1.25-1.67]), unemployment HR\u2009=\u20091.25 [95% CI 1.09-1.44], and low education HR 1.19 [95% CI 1.04-1.37]). Age and treatment-adjusted socioeconomic status effects on overall survival were mediated through HIV status (81.7% of the effect) and stage at diagnosis (81.7%), both P\u2009&amp;lt;\u2009.001. Poor breast cancer knowledge had an indirect effect on overall survival, accounting for 77.6% of the total effect (P\u2009=\u2009.001), fully mediated by late-stage presentation. Socioeconomic status had no significant direct path to mortality after accounting for these mediators.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Interventions should prioritize early breast cancer detection. For patients with low socioeconomic status, particularly those with comorbid HIV, we must mitigate multifaceted barriers to healthcare access, including limited awareness and knowledge of breast cancer.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/oncolo\/oyaf408","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T13:14:41Z","timestamp":1765458881000},"source":"Crossref","is-referenced-by-count":2,"title":["Overall survival, poverty differentials, and mediating pathways among women with breast cancer: South African Breast Cancer and HIV Outcomes cohort"],"prefix":"10.1093","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8616-9672","authenticated-orcid":false,"given":"Maureen","family":"Joffe","sequence":"first","affiliation":[{"name":"Strengthening Oncology Services Research Unit, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, 2193,","place":["South Africa"]},{"name":"Network for Oncology 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