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

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.

authors

Bayar MA,Antoun S,Lanoy E

doi

10.1080/14737140.2017.1298446

subject

Has Abstract

pub_date

2017-04-01 00:00:00

pages

311-318

issue

4

eissn

1473-7140

issn

1744-8328

journal_volume

17

pub_type

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