Traditional Chinese Medicine Decoctions Improve Longevity Following Diagnosis with Stage IV Esophageal Squamous Cell Carcinoma: A Retrospective Analysis

Honglin Li,1,* Chunzheng Ma,1,* Sisi Chang,2 Yutan Xi,2 Shuai Shao,2 Mengli Chen,2 Juan Ren,2 Mingyue Sun,1 Liang Dong1 1Oncology Department, Henan Provincial Hospital of Traditional Chinese Medicine, Zhengzhou, Henan Province, People’s Republic of China; 2Oncology Department, Henan Provincial University of Traditional Chinese Medicine, Zhengzhou, Henan Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Honglin Li, Oncology Department, Henan Provincial Hospital of Traditional Chinese Medicine, No. 6 Dongfeng Road, Zhengzhou, 450002, People’s Republic of China, Email 46991701@qq.com Chunzheng Ma, Oncology Department, Henan Provincial Hospital of Traditional Chinese Medicine, No. 6 Dongfeng Road, Zhengzhou, 450002, People’s Republic of China, Email mchzh666@126.comObjective: Traditional Chinese medicine (TCM) is an ancient form of personalized medicine and may improve morbidity and mortality in patients with esophageal cancer. This retrospective study aimed to evaluate the utility of TCM in the treatment of stage IV esophageal squamous cell carcinoma (SCC).Methods: We collected the medical records of patients with stage IV SCC admitted to Henan Provincial Hospital of Traditional Chinese Medicine and Linzhou Hospital of Traditional Chinese Medicine between July 2017 and June 2020. We used univariate and multivariate analyses to determine if the use of TCM improved patient prognosis. Moreover, cluster analysis was used to classify the patients according to TCM syndrome type and identify the most frequently used combinations of remedies.Results: After that 402 patients were included in PSM, of which 196 (48.8%) were treated with traditional Chinese medicine. TCM prolonged the survival time of patients with stage IV esophageal SCC (P=0.084), and was an independently associated with prognosis as demonstrated by Cox multivariate regression analysis [risk ratio (RR) =0.543, 95% confidence interva