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Pattern of Time-to-Surgery in Patients With Breast Cancer at Different Stages of the COVID-19 Pandemic

BACKGROUND: The management of cancer surgeries is under unprecedented challenges during the COVID-19 pandemic, and the breast cancer patients may face a time-delay in the treatment. This retrospective study aimed to present the pattern of time-to-surgery (TTS) and analyze the features of breast canc...

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Autores principales: Chen, Ruixian, Yang, Jiqiao, Zhao, Xin, Fu, Zhoukai, Wang, Zhu, Qiu, Changjian, Wu, Yunhao, Yang, Ruoning, Liu, Weijing, Huang, Ya, Chen, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790243/
https://www.ncbi.nlm.nih.gov/pubmed/35096625
http://dx.doi.org/10.3389/fonc.2021.820638
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author Chen, Ruixian
Yang, Jiqiao
Zhao, Xin
Fu, Zhoukai
Wang, Zhu
Qiu, Changjian
Wu, Yunhao
Yang, Ruoning
Liu, Weijing
Huang, Ya
Chen, Jie
author_facet Chen, Ruixian
Yang, Jiqiao
Zhao, Xin
Fu, Zhoukai
Wang, Zhu
Qiu, Changjian
Wu, Yunhao
Yang, Ruoning
Liu, Weijing
Huang, Ya
Chen, Jie
author_sort Chen, Ruixian
collection PubMed
description BACKGROUND: The management of cancer surgeries is under unprecedented challenges during the COVID-19 pandemic, and the breast cancer patients may face a time-delay in the treatment. This retrospective study aimed to present the pattern of time-to-surgery (TTS) and analyze the features of breast cancer patients under the different stages of the COVID-19 pandemic. METHODS: Patients who received surgeries for breast cancers at West China Hospital between February 15, 2020 and April 30, 2020 (the outbreak and post-peak stages), and between March 10, 2021 and May 25, 2021 (the normalization stage) were included. TTS was calculated as the time interval between the pathological diagnosis and surgical treatment of breast cancer patients. And the pandemic was divided into three stages based on the time when the patients were pathologically diagnosed and the severity of pandemic at that time point. TTS, demographic and clinicopathological features were collected from medical records. RESULTS: A total of 367 patients were included. As for demographic features, it demonstrated statistically significant differences in insurance type (p<0.001) and regular screening (p<0.001), as well as age (p=0.013) and menstrual status (p=0.004). As for clinicopathological features, axillary involvement (p=0.019) was a factor that differed among three stages. The overall TTS was 23.56 ± 21.39 days. TTS for patients who were diagnosed during the outbreak of COVID-19 were longer than those diagnosed during pandemic post-peak and normalization stage (p<0.001). Pandemic stage (p<0.001) and excision biopsy before surgery (OR, 6.459; 95% CI, 2.225-18.755; p=0.001) were markedly correlated with the TTS of patients. CONCLUSIONS: TTS of breast cancer patients significantly varied in different stages of the COVID-19 pandemic. And breast cancer patients’ daily lives and disease treatments were affected by the pandemic in many aspects, such as health insurance access, physical screening and change of therapeutic schedules. As the time-delay may cause negative influences on patients’ disease, we should minimize the occurrence of such time-delay. It is vital to come up with comprehensive measures to deal with unexpected situations in case the pandemic occurs.
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spelling pubmed-87902432022-01-27 Pattern of Time-to-Surgery in Patients With Breast Cancer at Different Stages of the COVID-19 Pandemic Chen, Ruixian Yang, Jiqiao Zhao, Xin Fu, Zhoukai Wang, Zhu Qiu, Changjian Wu, Yunhao Yang, Ruoning Liu, Weijing Huang, Ya Chen, Jie Front Oncol Oncology BACKGROUND: The management of cancer surgeries is under unprecedented challenges during the COVID-19 pandemic, and the breast cancer patients may face a time-delay in the treatment. This retrospective study aimed to present the pattern of time-to-surgery (TTS) and analyze the features of breast cancer patients under the different stages of the COVID-19 pandemic. METHODS: Patients who received surgeries for breast cancers at West China Hospital between February 15, 2020 and April 30, 2020 (the outbreak and post-peak stages), and between March 10, 2021 and May 25, 2021 (the normalization stage) were included. TTS was calculated as the time interval between the pathological diagnosis and surgical treatment of breast cancer patients. And the pandemic was divided into three stages based on the time when the patients were pathologically diagnosed and the severity of pandemic at that time point. TTS, demographic and clinicopathological features were collected from medical records. RESULTS: A total of 367 patients were included. As for demographic features, it demonstrated statistically significant differences in insurance type (p<0.001) and regular screening (p<0.001), as well as age (p=0.013) and menstrual status (p=0.004). As for clinicopathological features, axillary involvement (p=0.019) was a factor that differed among three stages. The overall TTS was 23.56 ± 21.39 days. TTS for patients who were diagnosed during the outbreak of COVID-19 were longer than those diagnosed during pandemic post-peak and normalization stage (p<0.001). Pandemic stage (p<0.001) and excision biopsy before surgery (OR, 6.459; 95% CI, 2.225-18.755; p=0.001) were markedly correlated with the TTS of patients. CONCLUSIONS: TTS of breast cancer patients significantly varied in different stages of the COVID-19 pandemic. And breast cancer patients’ daily lives and disease treatments were affected by the pandemic in many aspects, such as health insurance access, physical screening and change of therapeutic schedules. As the time-delay may cause negative influences on patients’ disease, we should minimize the occurrence of such time-delay. It is vital to come up with comprehensive measures to deal with unexpected situations in case the pandemic occurs. Frontiers Media S.A. 2022-01-12 /pmc/articles/PMC8790243/ /pubmed/35096625 http://dx.doi.org/10.3389/fonc.2021.820638 Text en Copyright © 2022 Chen, Yang, Zhao, Fu, Wang, Qiu, Wu, Yang, Liu, Huang and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Chen, Ruixian
Yang, Jiqiao
Zhao, Xin
Fu, Zhoukai
Wang, Zhu
Qiu, Changjian
Wu, Yunhao
Yang, Ruoning
Liu, Weijing
Huang, Ya
Chen, Jie
Pattern of Time-to-Surgery in Patients With Breast Cancer at Different Stages of the COVID-19 Pandemic
title Pattern of Time-to-Surgery in Patients With Breast Cancer at Different Stages of the COVID-19 Pandemic
title_full Pattern of Time-to-Surgery in Patients With Breast Cancer at Different Stages of the COVID-19 Pandemic
title_fullStr Pattern of Time-to-Surgery in Patients With Breast Cancer at Different Stages of the COVID-19 Pandemic
title_full_unstemmed Pattern of Time-to-Surgery in Patients With Breast Cancer at Different Stages of the COVID-19 Pandemic
title_short Pattern of Time-to-Surgery in Patients With Breast Cancer at Different Stages of the COVID-19 Pandemic
title_sort pattern of time-to-surgery in patients with breast cancer at different stages of the covid-19 pandemic
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790243/
https://www.ncbi.nlm.nih.gov/pubmed/35096625
http://dx.doi.org/10.3389/fonc.2021.820638
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