TY - JOUR
T1 - Contemporary analysis of the effect of marital status on survival of prostate cancer patients across all stages
T2 - A population-based study
AU - Knipper, Sophie
AU - Preisser, Felix
AU - Mazzone, Elio
AU - Mistretta, Francesco A.
AU - Palumbo, Carlotta
AU - Tian, Zhe
AU - Briganti, Alberto
AU - Shariat, Shahrokh F.
AU - Saad, Fred
AU - Tilki, Derya
AU - Graefen, Markus
AU - Karakiewicz, Pierre I.
PY - 2019/10
Y1 - 2019/10
N2 - Background: Marital status rates may have changed over time in prostate cancer (PC) patients and may have affected cancer-specific mortality (CSM) and other-cause mortality (OCM). Methods: Within the Surveillance, Epidemiology, and End Results database (2004–2015), we identified PC patients who were either married (n = 326,664) or unmarried (n = 106,533). Temporal trends, cumulative incidence plots, as well as multivariable competing risks regression analyses focused on (1) the overall population, (2) D'Amico low-risk N0M0 PC, (3) D'Amico intermediate-risk N0M0 PC, (4) D'Amico high-risk N0M0 PC, (5) N1M0 PC, and (6) M1 PC patients. Results: Of all, 24.6 % were unmarried and increased trend over time (23.0%–26.9%, P < 0.001). Unmarried men experienced higher CSM rates (9.8% vs. 6.3% in married men, P < 0.001) and OCM rates (24.3% vs. 17.1% in married men, P < 0.001) in the overall population, as well as in all subgroup analyses. Unmarried status represented an independent predictor of higher CSM (hazard ratio: 1.19, P < 0.001) and OCM (hazard ratio: 1.41, P < 0.001) in the overall cohort, as well as in all subgroup analyses except for the N1M0 subgroup, where marital status did not reach independent predictor status for CSM. Conclusions: Unmarried PC patients are at higher risk of CSM and OCM. This relationship applies to all stage subgroups, except for the N1M0 subgroup. Consequently, unmarried individuals should ideally benefit of improved counseling, closer follow-up, as well as of other measures aimed at reducing the CSM and OCM disadvantages.
AB - Background: Marital status rates may have changed over time in prostate cancer (PC) patients and may have affected cancer-specific mortality (CSM) and other-cause mortality (OCM). Methods: Within the Surveillance, Epidemiology, and End Results database (2004–2015), we identified PC patients who were either married (n = 326,664) or unmarried (n = 106,533). Temporal trends, cumulative incidence plots, as well as multivariable competing risks regression analyses focused on (1) the overall population, (2) D'Amico low-risk N0M0 PC, (3) D'Amico intermediate-risk N0M0 PC, (4) D'Amico high-risk N0M0 PC, (5) N1M0 PC, and (6) M1 PC patients. Results: Of all, 24.6 % were unmarried and increased trend over time (23.0%–26.9%, P < 0.001). Unmarried men experienced higher CSM rates (9.8% vs. 6.3% in married men, P < 0.001) and OCM rates (24.3% vs. 17.1% in married men, P < 0.001) in the overall population, as well as in all subgroup analyses. Unmarried status represented an independent predictor of higher CSM (hazard ratio: 1.19, P < 0.001) and OCM (hazard ratio: 1.41, P < 0.001) in the overall cohort, as well as in all subgroup analyses except for the N1M0 subgroup, where marital status did not reach independent predictor status for CSM. Conclusions: Unmarried PC patients are at higher risk of CSM and OCM. This relationship applies to all stage subgroups, except for the N1M0 subgroup. Consequently, unmarried individuals should ideally benefit of improved counseling, closer follow-up, as well as of other measures aimed at reducing the CSM and OCM disadvantages.
KW - Epidemiology
KW - Marital status
KW - Prostate cancer
KW - SEER database
KW - Survival
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U2 - 10.1016/j.urolonc.2019.04.023
DO - 10.1016/j.urolonc.2019.04.023
M3 - Article
C2 - 31103337
AN - SCOPUS:85065589465
VL - 37
SP - 702
EP - 710
JO - Urologic Oncology
JF - Urologic Oncology
SN - 1078-1439
IS - 10
ER -