Ignite Creation Date:
2024-05-06 @ 7:52 PM
Last Modification Date:
2024-10-26 @ 3:16 PM
Study NCT ID:
NCT06169930
Status:
COMPLETED
Last Update Posted:
2023-12-14
First Post:
2023-12-03
Brief Title:
Development and Validation of a Survival Prediction Model for Esophageal Cancer Patients After Esophagectomy
Sponsor:
Yongtao Han
Organization:
Sichuan Cancer Hospital and Research Institute
Study Overview
Official Title:
Development and Validation of A Overall Survival Prediction Model for Esophageal Squamous Cell Carcinoma A Novel pN Classification
Status:
COMPLETED
Status Verified Date:
2023-12
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
OSmodel
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 07 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 001
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None