Improving survival models in healthcare: a novel matching approach.

We present, to our knowledge, the first methodological study aimed at enhancing the prognostic power of Cox regression models, widely used in survival analysis, through optimized data selection. Our approach employs a novel two-stage mechanism: by framing the prognostic stratum matching problem intuitively, we select prognostically representative patient observations to create a more balanced training set. This enables the model to assign equal attention to distinct prognostic subgroups.

Machine Perfusion as a Strategy to Decrease Ischemia-Reperfusion Injury and Lower Cancer Recurrence Following Liver Transplantation.

Liver transplantation (LT) is a key treatment for primary and secondary liver cancers, reducing tumor burden with concurrent improvement of liver function. While significant improvement in survival is noted with LT, cancer recurrence rates remain high. Mitochondrial dysfunction caused by ischemia-reperfusion injury (IRI) is known to drive tumor recurrence by creating a favorable microenvironment rich in pro-inflammatory and angiogenic factors.

Lymphadenectomy for perihilar cholangiocarcinoma: therapeutic benefit of lymph node number and station.

Background: We sought to characterize the benefit of lymphadenectomy among patients undergoing curative-intent surgery for perihilar cholangiocarcinoma (pCCA) utilizing the therapeutic index.

Methods: Data on patients who underwent curative-intent resection for pCCA were obtained from 8 high-volume international hepatobiliary centers. Multivariable Cox regression analysis was used to assess clinicopathological factors associated with overall survival (OS).