Association between marital status and all-cause mortality of patients with metastatic breast cancer: a population-based study

Zhu, Shouqiang; Lei, Chong

doi:10.1038/s41598-023-36139-8

Cited by 11 publications

(7 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different studies have shown that unmarried patients are at significantly higher risk of presenting with metastatic disease, undertreatment, and death resulting from their cancer [ 32 ]. For breast cancer, Zhu and Lei evaluated the SEER database and found that unmarried patients had a 15.5% increased risk of breast cancer-specific mortality and a 19% increased risk of overall mortality when compared to married patients with metastatic disease [ 33 ].…”

Section: Discussionmentioning

confidence: 99%

Survival Analysis of Male Patients with Brain Metastases at Initial Breast Cancer Diagnosis over the Last Decade

Avila,

Leone,

Vallejo

et al. 2024

Medical Sciences

View full text Add to dashboard Cite

Breast cancer in men represents approximately 1% of all breast cancer diagnoses. Among all patients with breast cancer, approximately 30% will develop brain metastases. Over the past decade, there have been multiple advances in the treatment of metastatic breast cancer; however, long-term outcomes of this presentation in male patients are lacking. We evaluated male patients with de novo stage IV breast cancer using the Surveillance, Epidemiology and End Results (SEER) database from 2010 to 2019. Overall survival (OS) was estimated using the Kaplan–Meier method and differences between groups were compared using log rank tests. In total, 22 male patients with brain metastases at initial breast cancer diagnosis were included. Patients with HR-positive/HER2-negative tumors had the longest OS (median 13 months). Factors associated with shorter overall survival were advanced age, unmarried marital status, lower household income, and grade III disease, among others. Brain metastases remains an unmet medical need for patients with breast cancer; the development of new drugs may provide an improvement in overall survival for male patients in the future.

show abstract

Section: Discussionmentioning

confidence: 99%

Survival Analysis of Male Patients with Brain Metastases at Initial Breast Cancer Diagnosis over the Last Decade

Avila,

Leone,

Vallejo

et al. 2024

Medical Sciences

View full text Add to dashboard Cite

show abstract

“…This observation aligns with findings from a population-based study, which noted that marital status significantly affects the survival rates of patients with metastatic breast cancer, in turn suggesting that the support structures inherent in marital relationships might contribute to better health outcomes. The study further highlighted the role of access to treatments such as chemotherapy and surgery, mediated by marital status, in improving survival rates, underlining the complex interplay between social support structures and health outcomes in cancer patients [ 37 ]. Concurrently, Group B’s varied occupational profile, with a significant portion being retirees (27%) and homemakers (19%), can be interpreted in the light of the group’s older age distribution.…”

Section: Discussionmentioning

confidence: 99%

Exploring the Landscape of Breast Cancer Prevention among Chinese Residents in Italy: An In-Depth Analysis of Screening Adherence, Breast Self-Examination (BSE) Practices, the Role of Technological Tools, and Misconceptions Surrounding Risk Factors and Symptoms

Conte,

Lupo,

Sciolti

et al. 2024

IJERPH

View full text Add to dashboard Cite

Background: Breast cancer remains a significant health concern among women globally. Despite advancements in awareness and diagnostic techniques, it persists as a leading cause of death, with profound impacts on affected individuals’ quality of life. Primary and secondary prevention, including regular screenings and practices like breast self-examination (BSE), are pivotal in ensuring early diagnosis. The national health system (NHS) in Italy offers screenings for women aged 50–69 every two years, managed by the local health authority. However, the participation rates, especially among the Chinese female population residing in Italy, are not well understood. Methods: Using a snowball method, we electronically disseminated a survey to investigate how Chinese women living in Italy engage with available NHS screening programs. The survey also explores their practice of BSE and the use and impact of technological tools on prevention. Furthermore, the study aims to understand the subjects’ depth of knowledge and misconceptions about breast cancer. Results: The data reveal a significant gap in breast cancer screening adherence and knowledge among Chinese women in Italy, with a notable discrepancy between the general population and those who have previously encountered cancer. Conclusions: The results highlight the urgent need for interventions that are culturally sensitive, stressing that these actions are not only desirable but essential.

show abstract

“…Racial/ethnic disparities in cancer incidence and outcomes are well-known 26 . Although there may not be existing evidence to confirm that marital status is an independent risk factor for cancer, observational studies demonstrate that married status is associated with reduced risk of cancer-specific and all-cause mortality 27,28 . Religion and spirituality are important in patient cancer care, and specifically, a systematic review suggests a positive association between religious attendance and cancer screening utilization 29 .…”

Section: Discussionmentioning

confidence: 99%

Analyzing the Performance of Explainable Machine Learning Models in Risk Factor Identification for Major Cancers (Preprint)

Huang

2024

Preprint

View full text Add to dashboard Cite

BACKGROUND Cancer is a life-threatening disease and a leading cause of death worldwide, with an estimated 611,000 deaths and over 2 million new cases in the United States in 2024. The rising incidence of major cancers, including among younger individuals, highlights the need for early screening and monitoring of risk factors to manage and decrease cancer risk. OBJECTIVE To identify pivotal factors essential for predicting the risk factors for four major cancer types (breast, colorectal, lung, and prostate) through the utilization of explainable machine learning techniques is imperative due to the increasing burden of cancer patients. METHODS De-identified electronic health record data from MIMIC-III was used to identify patients with four types of cancer who had longitudinal hospital visits prior to receiving a cancer diagnosis. Their records were matched and combined with those of patients without cancer diagnoses using propensity scores based on demographic factors. Three advanced models, penalized Logistic Regression (LR), Random Forest (RF), and Multilayer Perceptron (MLP), were conducted to identify the rank of risk factors for each cancer type, with feature importance analysis for RF and MLP models. The Rank Biased Overlap was adopted to compare the similarity of ranked risk factors across cancer types. RESULTS Our framework evaluated the prediction performance of explainable ML models, in which MLP achieved an AUC of 0.78 for breast cancer, 0.76 for colorectal cancer, 0.84 for lung cancer, and 0.78 for prostate cancer, respectively. In addition to demographic risk factors, the most prominent non-traditional risk factors overlapped across models and cancer types, including hyperlipidemia, diabetes, depressive disorders, heart diseases, and anemia. The similarity analysis indicated the unique risk factor pattern for lung cancer from other cancer types. CONCLUSIONS The study's findings demonstrate the effectiveness of explainable ML models in predicting non-traditional risk factors for major cancers and highlight the importance of considering unique risk profiles for different cancer types. These insights may contribute to efficient cancer screening and tailored cancer prevention strategies, which, in turn, offer fundamental support for clinical decision-making processes.

show abstract

Association between marital status and all-cause mortality of patients with metastatic breast cancer: a population-based study

Cited by 11 publications

References 28 publications

Survival Analysis of Male Patients with Brain Metastases at Initial Breast Cancer Diagnosis over the Last Decade

Survival Analysis of Male Patients with Brain Metastases at Initial Breast Cancer Diagnosis over the Last Decade

Exploring the Landscape of Breast Cancer Prevention among Chinese Residents in Italy: An In-Depth Analysis of Screening Adherence, Breast Self-Examination (BSE) Practices, the Role of Technological Tools, and Misconceptions Surrounding Risk Factors and Symptoms

Analyzing the Performance of Explainable Machine Learning Models in Risk Factor Identification for Major Cancers (Preprint)

Contact Info

Product

Resources

About