AI Article Synopsis

  • Marital status has been identified as an independent prognostic factor for survival in prostate cancer (PCa) patients, with married individuals showing better survival outcomes compared to those who are divorced, widowed, or single.
  • The study analyzed data from 584,655 PCa patients using the SEER database and employed various methods like Kaplan-Meier analysis and Cox proportional hazards regression to assess the impact of marital status on overall and cancer-specific survival.
  • Key findings highlighted that besides marital status, other important factors such as age, TNM stage, Gleason score, and PSA levels also play a significant role in predicting prognosis, which can improve early detection and treatment strategies for high-risk patients.

Article Abstract

Marital status is an independent prognostic factor for survival in many types of cancers, but its prognostic impact on patients with prostate cancer (PCa) has not been established. The aim of this study was to explore the independent prognostic factors of PCa and to investigate the effect of marital status on survival outcomes in patients with different stratified by PCa. Using the surveillance, epidemiology, and end results (SEER) database, we collected data on 584,655 PCa patients diagnosed between 1975 and 2019. Marital status was classified as married, divorced, widowed, and single. We used the Kaplan-Meier analysis and single multivariate Cox proportional hazards regression analysis to determine the effect of marital status on overall survival (OS) and cancer-specific survival (CSS). In addition, we performed subgroup analyses for different ages, Gleason score and PSA values, and performed a 1:1 propensity score matching (PSM) to reduce the impact of confounding factors to obtain more accurate matching results. According to our findings, marital status was an independent prognostic factor for the survival of PCa patients and a better prognosis of married patients. Moreover, we also found that factors such as age, TNM stage, Gleason score, and PSA concentration were also considered as important predictors for the prognosis of PCa. The above findings can facilitate early detection and treatment of high-risk PCa patients, prolong their life and reduce family burden.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10940582PMC
http://dx.doi.org/10.1038/s41598-024-56145-8DOI Listing

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