Nutritional characterization of patients with oropharyngeal cancers: impact of human papillomavirus status.

Background: Oropharyngeal squamous cell carcinoma (OPSCC) of human papillomavirus (HPV)-positive status is increasing relative to HPV-negative disease. Nutritional features of OPSCC patients according to HPV status is unclear.

Subjects/methods: Canadian and Spanish patients with OPSCC were assessed for body mass index (BMI), weight loss grade (WLG), and computed tomography-defined skeletal muscle index (SMI).

TNM 8 staging system beyond p16: Double HPV/p16 status is superior to p16 alone in predicting outcome in oropharyngeal squamous cell carcinoma.

Purpose: The assessment of p16INK4a (p16) in oropharyngeal squamous cell carcinoma (OPSCC) has been incorporated into tumor classification, as p16 has been shown to impact survival probability. However, a recent study demonstrated that human papillomavirus (HPV) status in addition to p16 may have a better discriminatory effect on survival probability. This study aims to determine the impact of combined evaluation of p16 and HPV on prognosis.

Prediction model for major bleeding in anticoagulated patients with cancer-associated venous thromboembolism using machine learning and natural language processing.

Purpose: We developed a predictive model to assess the risk of major bleeding (MB) within 6 months of primary venous thromboembolism (VTE) in cancer patients receiving anticoagulant treatment. We also sought to describe the prevalence and incidence of VTE in cancer patients, and to describe clinical characteristics at baseline and bleeding events during follow-up in patients receiving anticoagulants.

Methods: This observational, retrospective, and multicenter study used natural language processing and machine learning (ML), to analyze unstructured clinical data from electronic health records from nine Spanish hospitals between 2014 and 2018.