2026

Predicting first-year kidney graft loss at the time of donor offer using machine learning and competing-risk analysis in a Latin American cohort

ABSTRACT Background. Kidney transplantation faces organ shortages, underscoring the need for early risk stratification of graft loss. We developed and validated a 12-month prediction model that treats death as a competing event. Methods. We conducted a retrospective cohort study of 2030 adult kidney transplant recipients (2008–2023) from Colombia’s largest transplant network. Models included a random […]

Predicting first-year kidney graft loss at the time of donor offer using machine learning and competing-risk analysis in a Latin American cohort Read More »

Explorando los desafíos: causas de rechazo de potenciales donantes de órganos en Colombia

Introducción El trasplante de órganos es vital para mejorar la calidad de vida de los pacientes con insuficiencia orgánica, pero la escasez de donantes es un desafío global. En Colombia, la demanda supera la oferta, lo cual aumenta la mortalidad de aquellos pacientes en las listas de espera. Objetivo Analizar las causas de rechazo de

Explorando los desafíos: causas de rechazo de potenciales donantes de órganos en Colombia Read More »

Methodological guidance on implementing propensity score matching in observational studies of kidney transplantation

Observational studies in kidney transplantation often face confounding bias due to the absence of randomization, which can compromise validity and limit generalizability. Propensity score matching (PSM) helps mitigate this bias by mimicking random assignment. This guide outlines the implementation of PSM in kidney transplant research, focusing on methodology, practical considerations, common pitfalls, and reporting standards.

Methodological guidance on implementing propensity score matching in observational studies of kidney transplantation Read More »