1. A Novel Clinical Prediction Model for Prognosis in Malignant Pleural Mesothelioma Using Decision Tree Analysis 
Fraser J.H. Brims, MD, Tarek M. Meniawy, PhD, Ian Duffus, MBChB., Duneesha de Fonseka, MBChB., Amanda Segal, M.B.B.S., Jenette Creaney, PhD, Nicholas Maskell, DM, Richard A. Lake, PhD, Nick de Klerk, PhD, Anna K. Nowak, PhD 
Journal of Thoracic Oncology 
Volume 11, Issue 4, Pages (April 2016)
DOI: /j.jtho
Copyright © 2016 International Association for the Study of Lung Cancer Terms and Conditions

2. Figure 1
Classification and regression tree model demonstrating characteristics of different risk groups of subjects with malignant pleural mesothelioma with 18-month survival as the outcome variable. PS, ECOG performance status; Hb, haemoglobin.
Journal of Thoracic Oncology  , DOI: ( /j.jtho )
Copyright © 2016 International Association for the Study of Lung Cancer Terms and Conditions

3. Figure 2
Cox proportional hazards regression for different groups: by the original (eight) risk groups (A), by histological subtype (B); by the refined (four) risk groups (C); and validation cohort (D). To help meaningful presentation of the data, we combined the validation risk groups 1 and 2 owing to the low numbers in group 1 (see main text).
Journal of Thoracic Oncology  , DOI: ( /j.jtho )
Copyright © 2016 International Association for the Study of Lung Cancer Terms and Conditions

4. Figure 3
Proposed flowchart for clinicians to estimate malignant pleural mesothelioma prognosis from the time of diagnosis. Risk group median interquartile range survival: ( ) months, ( ) months, ( ) months, ( ) months. PS, ECOG performance status; Hb, haemoglobin.
Journal of Thoracic Oncology  , DOI: ( /j.jtho )
Copyright © 2016 International Association for the Study of Lung Cancer Terms and Conditions