Sichuan Cancer Hospital and Research Institute
Chengdu, Sichuan, 610041, China
NCT Number: NCT06169930
In this retrospective study, we analyzed data from the Sichuan Cancer Hospital & Institute Esophageal Cancer Case Management Database (SCH-ECCM Database) from January 2010 to December 2017. Our study focused on examining the clinicopathological characteristics, lymph node removal at each station, and treatment details of patients with esophageal squamous cell carcinoma (ESCC) who underwent esophagectomy. Using this data, we developed a prediction model for OS by considering a combination of clinical characteristics and details of lymphadenectomy variables.
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Notify Me18 year–90 year
All sexes
Observational
Chengdu, Sichuan, 610041, China
In this retrospective study, we analyzed data from the Sichuan Cancer Hospital & Institute Esophageal Cancer Case Management Database (SCH-ECCM Database) from January 2010 to December 2017. Our study focused on examining the clinicopathological characteristics, lymph node removal at each station, and treatment details of patients with esophageal squamous cell carcinoma (ESCC) who underwent esophagectomy. Using this data, we developed a prediction model for OS by considering a combination of clinical characteristics and details of lymphadenectomy variables. Additionally, the receiver operating characteristic curve demonstrated an area under the curve greater than 0.7 at 1, 3, and 5 years in both the verification and training groups. Furthermore, Kaplan-Meier (K-M) curves showed that our model effectively distinguished between high- and low-risk groups (p < 0.01).
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Inclusion criteria
Exclusion criteria
This was an observational study without any intervention
Time frame: April 2022-April 2024
Overall survival (OS) was defined as the time from the month and year of surgery until death or the last follow-up in April 2022.
Yongtao Han
Other
Development and Validation of A Overall Survival Prediction Model for Esophageal Squamous Cell Carcinoma: A Novel pN Classification
Acronym: OSmodel
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