Objective: How well cardiovascular risk models perform in selected atherosclerosis patients for predicting outcomes is unknown. We sought to compare the performance of cardiovascular risk models (Framingham, Globorisk, SCORE2 & SCORE2-OP, and an updated new model) in predicting the 4-year outcome of patients with obstructive coronary artery disease (CAD).
Methods: Patients with suspected CAD who underwent coronary computed tomography angiography (CCTA) were recruited.
Purpose: The aim of the study is to construct two nomograms for predicting the invasive extent of pulmonary adenocarcinoma and nodule growth in patients with pulmonary pure ground-glass nodules (pGGN).
Method: Consecutive patients with pGGNs (n = 172) were retrospectively studied at one institution, formed the development cohort in predicting IPAs' nomogram. A separate cohort of patients with pGGNs (n = 116) from another institution was used for validation.
To investigate whether there were differences and consistent patterns that highlight and consolidate the metabolite changes in type 2 diabetes mellitus (T2DM), a meta-analysis of proton magnetic resonance spectroscopy (MRS) was conducted. PubMed, Web of Science, and Embase databases were searched up to August 2016 for collecting the relevant studies. After an inclusion and exclusion criteria, the data was extracted.
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