Conditional Probability of Long-term Survival After Liver Resection for XXXX : A Multi-institutional Analysis of 535 @entity1 .

@entity1 @entity66 @entity5 @entity34924 @entity1350 @entity1419 @entity3 @entity1349
Importance: Whereas conventional actuarial @entity1349 ( @entity1349 ) estimates rely exclusively on static factors determined around the time of surgery, conditional survival ( @entity34924 ) estimates take into account the years that a @entity1 has already survived. Objective: To define the @entity34924 of @entity1 following liver resection for @entity1419 ( @entity1419 ). Design, Setting, and @entity1 : Between January 1, 1990, and December 31, 2013, a total of 535 @entity1 who underwent resection of @entity1419 were identified from an international multi-institutional database. In this retrospective international study conducted from January to June 2014, clinicopathological characteristics, operative details, and long-term survival data were analyzed. Conditional survival estimates were calculated as the probability of survival for an additional 3 years. Intervention: Resection of @entity1419 . Main Outcomes and Measures: Overall survival and @entity34924 . Results: While actuarial @entity1349 decreased over time from 39% at 3 years to 16% at 8 years (P   =   .002), the 3-year @entity34924 ( @entity34924 ) increased over time among those @entity1 who survived. The @entity34924 at 5 years-the probability of surviving to postoperative year 8 after having already survived to postoperative year 5-was 65% compared with 8-year @entity1349 of 16% (P   =   .002). Factors that were associated with worse @entity1349 included larger @entity5 size (hazard ratio [HR], 1.02; 95% CI, 1.00-1.05; P   =   .05), @entity66 (HR, 1.49; 95% CI, 1.19-1.86; P   =   .01), lymph node @entity3 (HR, 2.21; 95% CI, 1.67-2.93; P   <   .01), and @entity1350 (HR, 1.39; 95% CI, 1.10-1.75; P   =   .006). The calculated @entity34924 exceeded the actuarial survival for all high-risk subgroups. For example, @entity1 with lymph node @entity3 had an actuarial @entity1349 of 11% at 6 years vs a @entity34924 of 49% at 3 years (  38%). Similarly, @entity1 with @entity1350 had an actuarial @entity1349 of 15% at 6 years compared with a @entity34924 of 50% at 3 years (  35%). Conclusions and Relevance: Conditional survival estimates may provide critical quantitative information about the changing probability of survival over time among @entity1 undergoing liver resection for @entity1419 . Therefore, such estimates can be of significant value to @entity1 and health care professionals.
