Highlights ■ We developed ONCO-1, a simple tool based on tumor volume. ■ Cutoff points were defined by a CART model. ■ Tumor volume was a prognostic factor for 1-year mortality. ■ Tumor volume can to support clinical decision-making. ABSTRACT Objective: To develop a simple and accessible univariate tool based on tumor volume to predict 1-year mortality in patients with oral cavity squamous cell carcinoma. Methods: A retrospective analysis was conducted on patients with oral cavity squamous cell carcinoma included […]

ABSTRACT Objective To develop and validate a high-risk predictive model that identifies, at least, one common adverse event in older population: early readmission (up to 30 days after discharge), long hospital stays (10 days or more) or in-hospital deaths. Methods This was a retrospective cohort study including patients aged 60 years or older (n=340) admitted at a 630-beds tertiary hospital, located in the city of São Paulo, Brazil. A predictive model of high-risk indication was developed by analyzing logistical regression […]

RESUMO Objetivo Propor um modelo de predição de risco de permanência das crianças na unidade de terapia intensiva pediátrica, considerando-se as características demográficas e clínicas na admissão. Métodos Coorte retrospectiva realizada a partir da análise de 1.815 admissões na terapia intensiva pediátrica, em um hospital privado e geral, do município de São Paulo (SP). Foram utilizados procedimentos de validação interna e obtenção da área sob a curva ROC na construção do modelo preditor. Resultados A mediana do tempo de permanência […]