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Time to surgery and survival in breast cancer.
An, Doyeon; Choi, Jihye; Lee, Jaebin; Kim, Jong-Yeup; Kwon, Seonguk; Kim, Jungeun; Lee, Seunghee; Jeon, Seongwoo; Lee, Chungchun; Lee, Suehyun; Woo, Hyekyung.
Afiliação
  • An D; Department of Health Administration, Graduate School, Kongju National University, Gongju, Republic of Korea.
  • Choi J; Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, USA.
  • Lee J; Division of Healthcare and Artificial Intelligence, National Institute of Health, Cheongju, Republic of Korea.
  • Kim JY; Department of Biomedical Informatics, College of Medicine, Konyang University, Daejeon, Republic of Korea.
  • Kwon S; Departments of Surgery, Konyang University Hospital, Daejeon, Republic of Korea.
  • Kim J; Department of Software, College of Engineering, Kongju National University, Cheonan, Republic of Korea.
  • Lee S; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Republic of Korea.
  • Jeon S; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Republic of Korea.
  • Lee C; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Republic of Korea.
  • Lee S; Department of Biomedical Informatics, College of Medicine, Konyang University, Daejeon, Republic of Korea. shleemedi@kyuh.ac.kr.
  • Woo H; Department of Health Administration, Graduate School, Kongju National University, Gongju, Republic of Korea. hkwoo@kongju.ac.kr.
BMC Surg ; 22(1): 388, 2022 Nov 11.
Article em En | MEDLINE | ID: mdl-36369022
BACKGROUND: This study aimed to investigate the effect of the time from diagnosis to breast cancer surgery on breast cancer patients' prognosis. METHODS: Of the 1900 patients diagnosed with invasive (stage 1-3) breast cancer who underwent surgery in KUH between 2012 and 2019, 279 patients were enrolled in this study. All patients, including those who received neoadjuvant chemotherapy, were classified as Model 1 subjects, and those who received immediate surgical treatment were classified as Model 2 subjects. We conducted a Cox regression analysis to identify prognostic factors of breast cancer associated with the time from diagnosis to surgery. RESULTS: The univariate results indicated a sharp drop in both groups' survival rates when the time to surgery was delayed for more than 8 weeks (Model 1 p = 0.000; Model 2 p = 0.001). In the multivariate analysis, the hazard ratio (HR) of Model 1increased (HR = 6.84, 95% CI 1.06-44.25) in response to a delay in surgery of more than 8 weeks. Smoking and the American Joint Committee on Cancer (AJCC) staging system had a negative effect on breast cancer prognosis, while hormone therapy had a positive effect. CONCLUSION: For all patients, a delay in breast cancer surgery of more than 8 weeks was inversely associated with survival.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Observational_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: BMC Surg Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Observational_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: BMC Surg Ano de publicação: 2022 Tipo de documento: Article