ArticleCancer medicine2020
Association between socioeconomic factors at diagnosis and survival in breast cancer: A population-based study.
Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sexual Dysfunction in Women with Cancer: A Systematic Review of Longitudinal Studies.International journal of environmental research and public health · 2022Pooled it
- Elevated levels of total cholesterol and high-density lipoprotein cholesterol are associated with better prognosis in patients with lung adenocarcinoma: a retrospective cohort study.Translational cancer research · 2025Article
- Survival Rate of Breast Cancer and Related Factors in Iran: A 27-Year Follow-Up.Iranian journal of public health · 2025Article
- Increasing the Uptake of Breast and Cervical Cancer Screening Via the MAwar Application: Stakeholder-Driven Web Application Development Study.JMIR formative research · 2025Article
- Socioeconomic Status, Stress, and Cancer-related Fatigue among Chinese American Breast Cancer Survivors: The Mediating Roles of Sleep.Asian American journal of psychology · 2024Article
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- The Association Between Socioeconomic Factors at Diagnosis and Survival in Medulloblastoma: A Propensity Score-Matched Analysis and Population-Based Study.Journal of racial and ethnic health disparities · 2024Article
- Racial and survival disparities in inflammatory breast cancer (IBC) and non-IBC: a population-based study focused on Native Hawaiians and other Pacific Islanders.Frontiers in oncology · 2024Article
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- Development and validation of nomograms for predicting survival outcomes in patients with T1-2N1 breast cancer to identify those who could not benefit from postmastectomy radiotherapy.Frontiers in oncology · 2023Article
- Pharmacogenomics and health disparities, are we helping?Frontiers in genetics · 2023Review
- Development of Predictive Models for Survival among Women with Breast Cancer in Malaysia.International journal of environmental research and public health · 2022Article
- Socioeconomic Status and Inflammation in Women with Early-stage Breast Cancer: Mediation by Body Mass Index.Brain, behavior, and immunity · 2022Article
- Development and Validation of Prognostic Nomogram for Elderly Breast Cancer: A Large-Cohort Retrospective Study.International journal of general medicine · 2022Article
- Association between socioeconomic status and survival in patients with hepatocellular carcinoma.Cancer medicine · 2021Article
- Screen-detected breast cancer is associated with better prognosis and survival compared to self-detected/symptomatic cases in a Chilean cohort of female patients.Breast cancer research and treatment · 2021Article
- Association of Breast Tumour Expression of Cannabinoid Receptors CBR1 and CBR2 with Prognostic Factors and Survival in Breast Cancer Patients.Journal of personalized medicine · 2021Article
- A New Electrochemical Platform for Dasatinib Anticancer Drug Sensing Using FeMicromachines · 2021Article
- Article
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6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe associations between socioeconomic statuses and survival outcomes of breast cancer remain unclear. No model has included both histological and socioeconomic factors to predict the survival of breast cancer. This study was designed to develop nomograms to predict breast cancer-specific survival (BCSS) and overall survival (OS) with consideration of socioeconomic factors for breast cancer patients. MATERIALS AND
methodsWe included a total of 207 749 female patients, diagnosed with malignant breast cancer between 2007 and 2012 from the Surveillance, Epidemiology, and End Results database. BCSS and OS were evaluated with Gray's test and log-rank tests, respectively. Marital statuses, insurance statuses, residence, median household income, poverty rate, unemployment rate, and education level were included as socioeconomic factors in univariate and multivariate Cox regression analyses. Clinicopathological factors and socioeconomic factors were integrated to construct nomograms. Calibration plots and concordance indexes (C-indexes) were used to evaluate the accuracy and discrimination of the models.
resultsFour and three socioeconomic factors were involved in constructing the nomograms for 3-, 5-, and 7-year BCSS and OS, respectively. The C-indexes of the final nomograms were higher than those of the TNM staging system for predicting BCSS (0.835 vs 0.782; P < .001) and OS (0.773 vs 0.676; P < .001). The performance of the nomograms for predicting OS was significantly lower when excluding socioeconomic factors (P < .001).
conclusionThese findings may highlight the importance of developing health-related policies and the necessity of targeted social support-based interventions for high-risk patients.
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