Development and Validation of a Survival Prediction Model for Esophageal Cancer Patients After Esophagectomy
- Conditions
- Survivorship
- Interventions
- Other: This was an observational study without any intervention
- Registration Number
- NCT06169930
- Lead Sponsor
- Yongtao Han
- Brief Summary
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.
- Detailed Description
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).
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 2957
Not provided
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description low-risk This was an observational study without any intervention - high-risk This was an observational study without any intervention -
- Primary Outcome Measures
Name Time Method Survival 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.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Sichuan Cancer Hospital and Research Institute
🇨🇳Chengdu, Sichuan, China