Open AccessRecalibrating survival prediction among patients receiving trans‐arterial chemoembolization for hepatocellular carcinoma
Author(s) -
Cucchetti Alessandro,
Giannini Edoardo G.,
Mosconi Cristina,
Plaz Torres Maria Corina,
Pieri Giulia,
Farinati Fabio,
Rapaccini Gian Ludovico,
Di Marco Maria,
Caturelli Eugenio,
Sacco Rodolfo,
Cabibbo Giuseppe,
Campani Claudia,
Mega Andrea,
Guarino Maria,
Gasbarrini Antonio,
SvegliatiBaroni Gianluca,
Foschi Francesco Giuseppe,
Missale Gabriele,
Masotto Alberto,
Nardone Gerardo,
Raimondo Giovanni,
Vidili Gianpaolo,
Brunetto Maurizia Rossana,
Sansone Vito,
Zoli Marco,
Azzaroli Francesco,
Trevisani Franco
Publication year - 2021
Publication title -
liver cancer international
Language(s) - English
Resource type - Journals
ISSN - 2642-3561
DOI - 10.1002/lci2.33
Subject(s) - hepatocellular carcinoma , medicine , transcatheter arterial chemoembolization , proportional hazards model , cohort , population , gastroenterology , oncology , surgery , environmental health
Background & Aims The Pre‐TACE‐Predict model was devised to assess prognosis of patients treated with trans‐arterial chemoembolization (TACE) for hepatocellular carcinoma (HCC). However, before entering clinical practice, a model should demonstrate that it performs a useful role. Methods We performed an independent external validation of the Pre‐TACE model in a cohort that differs in setting and time period from the one that generated the original model. Data from 826 patients treated with TACE for naïve HCC (2008‐2018) were used to assess calibration and discrimination of the Pre‐TACE‐Predict model. Results The four risk‐categories identified by the Pre‐TACE‐Predict model had gradient monotonicity, with median survivals of 52.0, 36.2, 29.9, and 14.1 months respectively. However, predicted survivals systematically underestimated observed survivals ( R 2 : 0.667). A recalibration was adopted maintaining fixed the prognostic index and modifying the baseline survival function. This resulted in an almost perfect calibration ( R 2 : 0.995) in all the four risk categories. Cox regressions showed that aetiology and macrovascular invasion, included in the Pre‐TACE‐Predict model, had no prognostic impact in the present study population, and that coefficients for tumour size and multiplicity were overestimated. The c ‐index was similar to that of the m‐HAP‐III, but higher than those of HAP, m‐HAP‐II and the six‐and‐twelve models. Conclusions The recalibration of Pre‐TACE‐Predict model improved the estimation of survival probabilities of HCC patients treated with TACE. The highest discriminatory ability of the Pre‐TACE‐model in comparison to other available models, together with risk stratification and recalibration, makes it the best prognostic tool currently available for these patients.