Impact of season of diagnosis on mortality among breast cancer survivors

Autor: Vydmantas Atkočius, Valerijus Ostapenko, Eduardas Aleknavicius, Irena Kuzmickiene
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0301 basic medicine
Prognostic variable
medicine.medical_specialty
medicine.medical_treatment
season of diagnosis
Antineoplastic Agents
Breast Neoplasms
Kaplan-Meier Estimate
Models
Biological
survival
lcsh:RC254-282
Cohort Studies
03 medical and health sciences
0302 clinical medicine
Breast cancer
Cancer Survivors
Internal medicine
medicine
Humans
Radiology
Nuclear Medicine and imaging
Vitamin D
Survival rate
Proportional Hazards Models
Chemotherapy
business.industry
Proportional hazards model
Hazard ratio
Age Factors
Lithuania
General Medicine
Middle Aged
medicine.disease
Prognosis
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Confidence interval
Radiation therapy
Survival Rate
030104 developmental biology
Oncology
Chemotherapy
Adjuvant
030220 oncology & carcinogenesis
Female
Seasons
business
Zdroj: Journal of Cancer Research and Therapeutics, Vol 14, Iss 12, Pp 1091-1097 (2018)
ISSN: 1998-4138
0973-1482
Popis: Introduction: There is mounting evidence that the time of breast cancer diagnosis and the start of treatment can improve survival rates. The aim of this study was to test the relationship between the season of breast cancer diagnosis and the survival of women patients receiving standard surgery treatment with radiotherapy. Materials and Methods: The nonmetastatic breast cancer patients (n = 991) were followed from the date of diagnosis until death. Cox proportional hazards models were used to calculate multivariate hazard ratios (HRs) for all-cause mortality. HRs and 95% confidence intervals (CIs) were estimated in models adjusted for clinicopathologic and treatment factors. Results: After adjusting for independent prognostic variables, we found that patients diagnosed in summer and autumn had a 40% reduced risk for 0–3-year mortality when compared to those diagnosed in spring. Among women aged
Databáze: OpenAIRE
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