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After radical liver resection (LR) in patients with hepatocellular carcinoma (HCC), the likelihood of survival is dynamic because multiple recurrences and/or metastases may occur, and the impact of each recurrence/metastasis on patient outcomes are all different
.
This study aimed to use a multi-state model to assess the natural progression, patterns, and timing of various disease states after hepatectomy and to develop a practical algorithm to provide patients and clinicians with predictive information about their prognosis
.
The distribution of the number of patients in different states
The distribution of the number of patients in different statesWe retrospectively identified adult patients who underwent liver resection for hepatocellular carcinoma at a single medical center between January 2000 and December 2018
.
Multistate analysis models tumor progression after hepatectomy by describing transitions between different disease states
Subsequent local recurrence-free survival in patients with different status
Subsequent local recurrence-free survival in patients with different statusA total of 486 patients were included, of which 169 (34.
8%) remained recurrence-free, 205 (42.
2%) developed intrahepatic recurrence, 80 (16.
5%) developed distant metastases, and 32 (7%) has died
.
For the average patient undergoing liver resection, the odds of remaining disease-free within the first 60 months after surgery were 33.
169 (34.
Compared with standard single-event time-to-event estimates, multi-state modeling provides more realistic predictions and criteria for clinical outcomes after hepatectomy for patients with hepatocellular carcinoma by accounting for multiple postoperative disease states and transitions between them.
Original source:
Ivanics Tommy, Murillo Perez Carla Fiorella, Claasen Marco Paw et al.
Dynamic risk profiling of hepatocellular carcinoma recurrence after curative intent liver resectionLeave a comment here