biostudies-literatureUnknown14(3)Ren X<h4>Background</h4>Unlike traditional survival analysis methods, conditional survival (CS) provides enhanced insight by offering a personalized prognosis estimation as time advances for tumor patients. This study aimed to estimate CS and devised a novel CS-nomogram for real-time prediction of 10-year CS for patients with spinal chordoma.<h4>Methods</h4>Patients diagnosed with spinal chordoma from 2000 to 2019, as documented in the Surveillance, Epidemiology, and End Results (SEER) database, were included in this study. CS represents the likelihood of surviving an additional y years given that the patient has already survived x years. It is computed using the equation CS(x|y) = S(x + y)/S(x), where S(x) denotes the patient's survival rate at x years. The univariate Cox hazard regression, leTranslational cancer research1710-1724https://www.ebi.ac.uk/biostudies/studies/S-EPMC11985185biostudies-literatureIndividualized estimation of conditional survival for patients with spinal chordoma.PMC11985185Ren XChao GGuo YFan JYang CCong FfalseIndividualized estimation of conditional survival for patients with spinal chordoma.<h4>Background</h4>Unlike traditional survival analysis methods, conditional survival (CS) provides enhanced insight by offering a personalized prognosis estimation as time advances for tumor patients. This study aimed to estimate CS and devised a novel CS-nomogram for real-time prediction of 10-year CS for patients with spinal chordoma.<h4>Methods</h4>Patients diagnosed with spinal chordoma from 2000 to 2019, as documented in the Surveillance, Epidemiology, and End Results (SEER) database, were included in this study. CS represents the likelihood of surviving an additional y years given that the patient has already survived x years. It is computed using the equation CS(x|y) = S(x + y)/S(x), where S(x) denotes the patient's survival rate at x years. The univariate Cox hazard regression, le2025-01-01T00:00:00Z2025 Mar2026-07-15T05:00:33.604Z2025-07-14T03:02:44.248ZS-EPMC119851854022497610.21037/tcr-24-1912