This paper is in the following e-collection/theme issue:

Longitudinal and Cohort Studies in Public Health (316) Cancer Prognosis Models and Machine Learning (14) Machine Learning (1501)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43409, first published .
Investigation of the Trajectory of Muscle and Body Mass as a Prognostic Factor in Patients With Colorectal Cancer: Longitudinal Cohort Study

Investigation of the Trajectory of Muscle and Body Mass as a Prognostic Factor in Patients With Colorectal Cancer: Longitudinal Cohort Study

Investigation of the Trajectory of Muscle and Body Mass as a Prognostic Factor in Patients With Colorectal Cancer: Longitudinal Cohort Study

Authors of this article:

Dongjin Seo1 Author Orcid Image ;   Han Sang Kim2, 3, 4 Author Orcid Image ;   Joong Bae Ahn2 Author Orcid Image ;   Yu Rang Park3, 4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. das Neves W, Alves C, dos Santos G, Alves M, Deik A, Pierce K, Dennis C, Buckley L, Clish C, Swoboda K, Brum P, de Castro Junior G. Physical performance and plasma metabolic profile as potential prognostic factors in metastatic lung cancer patients. European Journal of Clinical Investigation 2024;54(11) View
  2. Lai F, Li S, Shen Z. Comment on “Dense Tumor‐Infiltrating Lymphocytes (TILs) in Liver Metastasis From Colorectal Cancer Are Related to Improved Overall Survival”. Journal of Surgical Oncology 2024 View