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Factors Influencing Total Delay of Breast Cancer in Northeast of China
OBJECTIVES: Delay in diagnosis and treatment, called total delay, could probably result in lower survival rates in breast cancer patients. This study aimed to investigate the factors associated with the comprehensive delay behaviors and to evaluate its effect on outcomes in patients with breast canc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924654/ https://www.ncbi.nlm.nih.gov/pubmed/35311134 http://dx.doi.org/10.3389/fonc.2022.841438 |
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author | Ren, Sihang Zhang, Yuting Qin, Pan Wang, Jia |
author_facet | Ren, Sihang Zhang, Yuting Qin, Pan Wang, Jia |
author_sort | Ren, Sihang |
collection | PubMed |
description | OBJECTIVES: Delay in diagnosis and treatment, called total delay, could probably result in lower survival rates in breast cancer patients. This study aimed to investigate the factors associated with the comprehensive delay behaviors and to evaluate its effect on outcomes in patients with breast cancer in Dalian, a northeast city of China. METHODS: A retrospective chart review was conducted using a cancer registry dataset including 298 patients. The Kaplan–Meier survival analysis was used to identify the threshold of total delay, dividing the patients into a group with significant uncertainty and a group without substantial delay. The factors associated with the significant total delay were investigated from the potential candidates, like income level and marital status, by using the chi-squared test. The difference of the clinicopathologic characteristics between the patients grouped by the significant total delay, like tumor size and lymph node metastasis, was also investigated to find out the effect of the total delay. RESULTS: A total of 238 charts were used for analysis. The mean age was 57.3. The median of total delays was 3.75 months. Thirty days was identified as a threshold, more than which the total delay can lead to worse survival. Patients’ marital status (p = 0.010), income levels (p = 0.003), smoking status (p = 0.031), initial visiting hospital level (p = 0.005), self-health care (p = 0.001), and self-concern about initial symptom (p ≈ 0.000) were identified as the independent predictors of the total delay. Metastasis (p ≈ 0.000) was identified as the significant result relating to the significant total delay. CONCLUSIONS: A total delay of more than 30 days predicts worse survival in breast cancer patients in Dalian. Several factors, like patients’ marital status and income levels, can be considered to be relevant to the significant total delay. We recommend that these factors be used to predict the potential patients with the significant total delay in the clinical practice. |
format | Online Article Text |
id | pubmed-8924654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89246542022-03-17 Factors Influencing Total Delay of Breast Cancer in Northeast of China Ren, Sihang Zhang, Yuting Qin, Pan Wang, Jia Front Oncol Oncology OBJECTIVES: Delay in diagnosis and treatment, called total delay, could probably result in lower survival rates in breast cancer patients. This study aimed to investigate the factors associated with the comprehensive delay behaviors and to evaluate its effect on outcomes in patients with breast cancer in Dalian, a northeast city of China. METHODS: A retrospective chart review was conducted using a cancer registry dataset including 298 patients. The Kaplan–Meier survival analysis was used to identify the threshold of total delay, dividing the patients into a group with significant uncertainty and a group without substantial delay. The factors associated with the significant total delay were investigated from the potential candidates, like income level and marital status, by using the chi-squared test. The difference of the clinicopathologic characteristics between the patients grouped by the significant total delay, like tumor size and lymph node metastasis, was also investigated to find out the effect of the total delay. RESULTS: A total of 238 charts were used for analysis. The mean age was 57.3. The median of total delays was 3.75 months. Thirty days was identified as a threshold, more than which the total delay can lead to worse survival. Patients’ marital status (p = 0.010), income levels (p = 0.003), smoking status (p = 0.031), initial visiting hospital level (p = 0.005), self-health care (p = 0.001), and self-concern about initial symptom (p ≈ 0.000) were identified as the independent predictors of the total delay. Metastasis (p ≈ 0.000) was identified as the significant result relating to the significant total delay. CONCLUSIONS: A total delay of more than 30 days predicts worse survival in breast cancer patients in Dalian. Several factors, like patients’ marital status and income levels, can be considered to be relevant to the significant total delay. We recommend that these factors be used to predict the potential patients with the significant total delay in the clinical practice. Frontiers Media S.A. 2022-03-02 /pmc/articles/PMC8924654/ /pubmed/35311134 http://dx.doi.org/10.3389/fonc.2022.841438 Text en Copyright © 2022 Ren, Zhang, Qin and Wang 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 Ren, Sihang Zhang, Yuting Qin, Pan Wang, Jia Factors Influencing Total Delay of Breast Cancer in Northeast of China |
title | Factors Influencing Total Delay of Breast Cancer in Northeast of China |
title_full | Factors Influencing Total Delay of Breast Cancer in Northeast of China |
title_fullStr | Factors Influencing Total Delay of Breast Cancer in Northeast of China |
title_full_unstemmed | Factors Influencing Total Delay of Breast Cancer in Northeast of China |
title_short | Factors Influencing Total Delay of Breast Cancer in Northeast of China |
title_sort | factors influencing total delay of breast cancer in northeast of china |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924654/ https://www.ncbi.nlm.nih.gov/pubmed/35311134 http://dx.doi.org/10.3389/fonc.2022.841438 |
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