The Effect of Marital Status on Suicide Risk Among Patients with Breast Cancer: A Population-Based sIPTW Competing Risk Analysis
Zou, X.; Shi, J.
Show abstract
Background: Breast cancer survivors often experience psychological distress that may increase suicide risk. Marital status, a proxy for social support, may influence this risk, but its role within a competing-risk framework is unclear. This study examined the association between marital status and suicide mortality and assessed modification by socioeconomic and geographic factors. Methods: This is a population-based cohort study using SEER data, including adults diagnosed with primary breast cancer from 2000 to 2022. Marital status was classified as married/partnered or unmarried/non-partnered. Baseline characteristics were balanced using subdistribution inverse probability of treatment weighting (sIPTW). Suicide mortality was analyzed using sIPTW-weighted Fine-Gray competing-risk models, treating non-suicide deaths as competing events. Landmark, subgroup, interaction, and sensitivity analyses were performed. Results: Among 825,047 patients, 40.7% were unmarried. Covariates were well balanced after weighting (SMD <0.01). During follow-up, 529 suicide deaths occurred. Unmarried status was associated with higher suicide mortality (sHR = 1.34, 95% CI: 1.12-1.60). Male sex and estrogen receptor-negative tumors increased risk, while older age and non-White race were protective. Findings were consistent in Cox models (HR = 1.45) and sensitivity analyses (sHR = 1.42). Landmark analyses showed persistent associations at 1, 3, and 5 years. The association was attenuated in the highest income quartile but not modified by rural-urban status. Conclusions: Unmarried breast cancer patients had higher suicide mortality. These findings support integrating psychosocial assessment and targeted suicide prevention into survivorship care, especially for socially vulnerable groups.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A 20-feature radiomic signature of triple-negative breast cancer identifies patients at high risk of death 94%
- An updated PREDICT breast cancer prognostic model including the benefits and harms of radiotherapy 93%
- RNA Sequencing-Based Single Sample Predictors of Molecular Subtype and Risk of Recurrence for Clinical Assessment of Early-Stage Breast Cancer 92%
Similar papers in this journal
- Free testosterone and malignant melanoma risk in men: prospective analyses of testosterone and SHBG with 19 cancers in men and postmenopausal women UK Biobank 93%
- Novel mammogram-based measures improve breast cancer risk prediction beyond an established mammographic density measure 92%
- Prelude to Malignancy: A Gene Expression Signature in Normal Mammary Gland from Breast Cancer Patients Suggests Pre-tumorous Alterations and Is Associated with Adverse Outcomes 92%
Similar papers in this journal
- The prognostic value of lymph node involvement after neoadjuvant chemotherapy is different among breast cancer subtypes 94%
- NDRG1 expression is an independent prognostic factor in inflammatory breast cancer 93%
- The French Early Breast Cancer Cohort (FRESH): a resource for breast cancer research and evaluations of oncology practices based on the French National Healthcare System Database (SNDS) 93%
Similar papers in this journal
- Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Breast Cancer Risk Prediction among Asian Women, Results from Asia Breast Cancer Consortium 92%
- Missing data in the medical record for oncology patients: prevalence and association with outcomes 91%
- Contributions of occupation characteristics and educational attainment to racial/ethnic inequities in COVID-19 mortality 90%
Similar papers in this journal
- Sex steroid hormones and risk of breast cancer incidence and survival: A two-sample Mendelian randomization study 93%
- Effect of testosterone therapy on breast tissue composition and mammographic breast density in trans masculine individuals 92%
- Common variants in breast cancer risk loci predispose to distinct tumor subtypes 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.