Please use this identifier to cite or link to this item: https://doi.org/10.1002/cam4.2830
Title: Impact of delayed treatment in women diagnosed with breast cancer: A population-based study
Authors: Ho, P.J.
Cook, A.R. 
Binte Mohamed Ri, N.K. 
Liu, J. 
Li, J. 
Hartman, M. 
Keywords: breast cancer
population
proportional-hazards models
Singapore
survival
Issue Date: 2020
Publisher: Blackwell Publishing Ltd
Citation: Ho, P.J., Cook, A.R., Binte Mohamed Ri, N.K., Liu, J., Li, J., Hartman, M. (2020). Impact of delayed treatment in women diagnosed with breast cancer: A population-based study. Cancer Medicine 9 (7) : 2435-2444. ScholarBank@NUS Repository. https://doi.org/10.1002/cam4.2830
Rights: Attribution 4.0 International
Abstract: The impact of timely treatment on breast cancer-specific survival may differ by tumor stage. We aim to study the impact of delayed first treatment on overall survival across different tumor stages. In addition, we studied the impact of delayed adjuvant treatments on survival in patients with invasive nonmetastatic breast cancer who had surgery ?90 days postdiagnosis. This population-based study includes 11 175 breast cancer patients, of whom, 2318 (20.7%) died (median overall survival = 7.9 years). To study the impact of delayed treatment on survival, hazard ratios and corresponding 95% confidence intervals were estimated using Cox proportional-hazards models. The highest proportion of delayed first treatment (>30 days postdiagnosis) was in patients with noninvasive breast cancer (61%), followed by metastatic breast cancer (50%) and invasive nonmetastatic breast cancer (22%). Delayed first treatment (>90 vs ?30 days postdiagnosis) was associated with worse overall survival in patients with invasive nonmetastatic (HR: 2.25, 95% CI 1.55-3.28) and metastatic (HR: 2.09, 95% CI 1.66-2.64) breast cancer. Delayed adjuvant treatment (>90 vs 31-60 days postsurgery) was associated with worse survival in patients with invasive nonmetastatic (HR: 1.50, 95% CI 1.29-1.74). Results for the Cox proportional-hazards models were similar for breast cancer-specific death. A longer time to first treatment (31-90 days postdiagnosis) may be viable for more extensive diagnostic workup and patient-doctor decision-making process, without compromising survival. However, patients’ preference and anxiety status need to be considered. © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.
Source Title: Cancer Medicine
URI: https://scholarbank.nus.edu.sg/handle/10635/198163
ISSN: 2045-7634
DOI: 10.1002/cam4.2830
Rights: Attribution 4.0 International
Appears in Collections:Elements
Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1002_cam4_2830.pdf368.36 kBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons