Statistical approaches for evaluating body composition markers in clinical cancer research.

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Statistical approaches for evaluating body composition markers in clinical cancer research.

Expert Rev Anticancer Ther. 2017 Mar 02;:1-8

Authors: Bayar MA, Antoun S, Lanoy E

Abstract
INTRODUCTION: The term 'morphomics' stands for the markers of body composition in muscle and adipose tissues. in recent years, as part of clinical cancer research, several associations between morphomics and outcome or toxicity were found in different treatment settings leading to a growing interest. we aim to review statistical approaches used to evaluate these markers and suggest practical statistical recommendations. Area covered: We identified statistical methods used recently to take into account properties of morphomics measurements. We also reviewed adjustment methods on major confounding factors such as gender and approaches to model morphomic data, especially mixed models for repeated measures. Finally, we focused on methods for determining a cut-off for a morphomic marker that could be used in clinical practice and how to assess its robustness. Expert commentary: From our review, we proposed 13 key points to strengthen analyses and reporting of clinical research assessing associations between morphomics and outcome or toxicity.

PMID: 28277100 [PubMed - as supplied by publisher]

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