2018
DOI: 10.1002/hep.30185
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Restaging Patients With Hepatocellular Carcinoma Before Additional Treatment Decisions: A Multicenter Cohort Study

Abstract: Although the ITA.LI.CA score demonstrated the best prognostic performance at restaging, other variables should be considered to improve the prognostic assessment of patients at the time of deciding additional therapies for HCC.

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Cited by 32 publications
(34 citation statements)
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“…First, the need to connect prognostic stages to specific therapeutic choices limits the prognostic power of the staging systems (prognostic problem). Further, the prognostic scores (such as ITA.LI.CA, MESIAH and CLIP), in fact, usually show a better discriminatory and predictive ability than the staging‐treatment schemes (ie BCLC, HKLC).…”
Section: Discussionmentioning
confidence: 99%
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“…First, the need to connect prognostic stages to specific therapeutic choices limits the prognostic power of the staging systems (prognostic problem). Further, the prognostic scores (such as ITA.LI.CA, MESIAH and CLIP), in fact, usually show a better discriminatory and predictive ability than the staging‐treatment schemes (ie BCLC, HKLC).…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, the ITA.LI.CA score showed the best prognostic performance compared with other available HCC prognostic systems and its superiority was confirmed by an independent study group . It also showed better performance in complex restaging after an HCC treatment …”
Section: Introductionmentioning
confidence: 99%
“…There is growing evidence about the potential synergistic effect of RT and ICI in clinical and preclinical studies . Local RT induces the release of tumor‐specific antigens as in situ individualized tumor vaccines that can result in anticancer immune responses that mediate abscopal effects .…”
Section: Discussionmentioning
confidence: 99%
“…We read with great interest the comment letter by Huo et al, because this letter gives us the possibility to better explain some aspects of the ITA.LI.CA prognostic system that were probably unclear in our previous studies …”
mentioning
confidence: 97%
“…First, the ITA.LI.CA system is a score based on 14 prognostic subgroups and not only 4: The lowest score (ITA.LI.CA score = 0) of the model corresponded to the best prognosis, and the highest score (ITA.LI.CA score = 13) was associated with the worst prognosis. In the original paper in which the ITA.LI.CA score was developed and externally validated, and in this paper focused on restaging, we stratified our score in quartiles only to clearly and legibly represent the discrimination and calibration abilities of the ITA.LI.CA system by Kaplan‐Meier survival curves.…”
mentioning
confidence: 99%