Title: The relationships between symptom clusters and contributing factors in patients with
esophageal cancer: Structural equation modelling based on theory of unpleasant symptoms
Version: 4 Date: 01 Jul 2025
Reviewer:  Liying Lin
Reviewer's report:
This study explores the relationships between symptom clusters and physiological,
psychological, and social factors in esophageal cancer patients undergoing chemoradiotherapy,
based on the Theory of Unpleasant Symptoms (TOUS) and employing structural equation
modeling. The research topic holds significant clinical relevance. With a rigorous study design,
adequate sample size, and robust analytical methods, the findings provide valuable guidance for
improving symptom management in this patient population.
Title: The relationships between symptom clusters and contributing factors in patients with
esophageal cancer: Structural equation modelling based on theory of unpleasant symptoms
Version: 4 Date: 01 Jul 2025
Reviewer:  Liying Lin
Reviewer's report:
This study explores the relationships between symptom clusters and physiological,
psychological, and social factors in esophageal cancer patients undergoing chemoradiotherapy,
based on the Theory of Unpleasant Symptoms (TOUS) and employing structural equation
modeling. The research topic holds significant clinical relevance. With a rigorous study design,
adequate sample size, and robust analytical methods, the findings provide valuable guidance for
improving symptom management in this patient population.
Please review this paper.
user
Title: The relationships between symptom clusters and contributing factors in patients with
esophageal cancer: Structural equation modelling based on theory of unpleasant symptoms
Version: 4 Date: 01 Jul 2025
Reviewer:  Liying Lin
Reviewer's report:
This study explores the relationships between symptom clusters and physiological,
psychological, and social factors in esophageal cancer patients undergoing chemoradiotherapy,
based on the Theory of Unpleasant Symptoms (TOUS) and employing structural equation
modeling. The research topic holds significant clinical relevance. With a rigorous study design,
adequate sample size, and robust analytical methods, the findings provide valuable guidance for
improving symptom management in this patient population.
assistant