Background This study aimed to assess the performance of the pre- and postoperative early recurrence after surgery for liver tumor (ERASL) models at external validation. Prediction of early... Show moreBackground This study aimed to assess the performance of the pre- and postoperative early recurrence after surgery for liver tumor (ERASL) models at external validation. Prediction of early hepatocellular carcinoma (HCC) recurrence after resection is important for individualized surgical management. Recently, the preoperative (ERASL-pre) and postoperative (ERASL-post) risk models were proposed based on patients from Hong Kong. These models showed good performance although they have not been validated to date by an independent research group. Methods This international cohort study included 279 patients from the Netherlands and 392 patients from Japan. The patients underwent first-time resection and showed a diagnosis of HCC on pathology. Performance was assessed according to discrimination (concordance [C] statistic) and calibration (correspondence between observed and predicted risk) with recalibration in a Weibull model. Results The discriminatory power of both models was lower in the Netherlands than in Japan (C statistic, 0.57 [95% confidence interval {CI} 0.52-0.62] vs 0.69 [95% CI 0.65-0.73] for the ERASL-pre model and 0.62 [95% CI 0.57-0.67] vs 0.70 [95% CI 0.66-0.74] for the ERASL-post model), whereas their prognostic profiles were similar. The predictions of the ERASL models were systematically too optimistic for both cohorts. Recalibrated ERASL models improved local applicability for both cohorts. Conclusions The discrimination of ERASL models was poorer for the Western patients than for the Japanese patients, who showed good performance. Recalibration of the models was performed, which improved the accuracy of predictions. However, in general, a model that explains the East-West difference or one tailored to Western patients still needs to be developed. Show less
Background: The objective of this systematic review was to evaluate the performance of prognostic survival models for intrahepatic cholangiocarcinoma (iCCA) when validated in an external dataset.... Show moreBackground: The objective of this systematic review was to evaluate the performance of prognostic survival models for intrahepatic cholangiocarcinoma (iCCA) when validated in an external dataset. Furthermore, it sought to identify common prognostic factors across models, and assess methodological quality of the studies in which the models were developed.Methods: The PRISMA guidelines were followed. External validation studies of prognostic models for patients with iCCA were searched in 5 databases. Model performance was assessed by discrimination and calibration.Results: Thirteen external validation studies were identified, validating 18 different prognostic models. The Wang model was the sole model with good performance (C-index above 0.70) for overall survival. This model incorporated tumor size and number, lymph node metastasis, direct invasion into surrounding tissue, vascular invasion, Carbohydrate antigen (CA) 19-9, and carcinoembryonic antigen (CEA). Methodological quality was poor in 11/12 statistical models. The Wang model had the highest score with 13 out of 17 points.Conclusion: The Wang model for prognosis after resection of iCCA has good quality and good performance at external validation, while most prognostic models for iCCA have been developed with poor methodological quality and show poor performance at external validation. Show less
