Literature DB >> 30366103

Prediction modelling using routine clinical parameters to stratify survival in Malignant Pleural Mesothelioma patients undergoing cytoreductive surgery.

Edward J A Harris1, Steven Kao2, Brian McCaughan3, Takashi Nakano4, Nobuyuki Kondo5, Rebecca Hyland6, Anna K Nowak7, Nicholas H de Klerk8, Fraser J H Brims9.   

Abstract

INTRODUCTION: Malignant pleural mesothelioma (MPM) is an uncommon cancer with a poor prognosis and heterogeneous survival. Surgery for MPM is offered in some specialist centers to highly selected patients. A previously described classification and regression tree (CART) model stratified survival in unselected MPM patients using routinely collected clinical data. This study aimed to examine the performance of this CART model on a highly selected surgical population.
METHODS: Data were collected from subjects undergoing cytoreductive surgery for MPM from specialist centers in Hyõgo, Japan, and Sydney, Australia, between 1991 and 2016. The CART model was applied using the combination of clinical variables to stratify subjects into risk groups (1 through 4); survival characteristics were then compared.
RESULTS: Two hundred eighty-nine cases were included (205 from Australia, 84 from Japan). Overall median survival was 34.6 (interquartile range: 17.5-56.1) months; median age was 63.0 (interquartile range: 57.0-67.8) years, and 83.0% (n = 240) were male. There were no clinically meaningful differences between the two cohorts. Survival across the four risk groups was significantly different (p < 0.0001); the model stratified survival well with a Harrell's concordance statistic of 0.62 (95% confidence interval: 0.57-0.66) at 36 months. The group with the longest survival (median, 82.5 months) had: no weight loss, hemoglobin > 153 g/L and serum albumin > 43 g/L at time of referral to the surgical center.
CONCLUSIONS: Using routinely available clinical variables, the CART model was able to stratify surgical patients into risk groups with statistically different survival characteristics with fair to good performance. Presence of weight loss, anemia, and low albumin should confer caution when considering surgical therapy for MPM.
Copyright © 2018 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Mesothelioma; Prediction modeling; Thoracic surgery

Mesh:

Substances:

Year:  2018        PMID: 30366103     DOI: 10.1016/j.jtho.2018.10.005

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  4 in total

Review 1.  The Evolving Therapeutic Landscape for Malignant Pleural Mesothelioma.

Authors:  Nirosha D Perera; Aaron S Mansfield
Journal:  Curr Oncol Rep       Date:  2022-06-03       Impact factor: 5.075

Review 2.  Biomarkers for Malignant Pleural Mesothelioma-A Novel View on Inflammation.

Authors:  Melanie Vogl; Anna Rosenmayr; Tomas Bohanes; Axel Scheed; Milos Brndiar; Elisabeth Stubenberger; Bahil Ghanim
Journal:  Cancers (Basel)       Date:  2021-02-06       Impact factor: 6.639

3.  Malignant Pleural Mesothelioma: Time Is Running Out.

Authors:  Filippo Lococo
Journal:  J Clin Med       Date:  2021-02-08       Impact factor: 4.241

4.  Prediction modeling using routine clinical parameters to stratify survival in malignant pleural mesothelioma patients complicated with malignant pleural effusion.

Authors:  Shu Zhang; Yuan Zhang; Wei Feng; Zhongyue Shi; Huanzhong Shi; Yuhui Zhang
Journal:  Thorac Cancer       Date:  2021-10-26       Impact factor: 3.500

  4 in total

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