Ignite Creation Date:
2024-07-17 @ 11:59 AM
Last Modification Date:
2024-10-26 @ 3:32 PM
Study NCT ID:
NCT06467591
Status:
COMPLETED
Last Update Posted:
2024-06-21
First Post:
2024-06-15
Brief Title:
Prediction Model for Advanced Gastric Cancer in Elderly
Sponsor:
Chang-Ming Huang Prof
Organization:
Fujian Medical University
Study Overview
Official Title:
Prediction of Long-term Survival and Chemotherapy Benefit in Elderly Advanced Gastric Cancer Patients Based on the mCNS Model of Nutritional Control State Score and Sarcopenia
Status:
COMPLETED
Status Verified Date:
2024-06
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:
None
Brief Summary:
This study aims to develop and validate a Nomogram mCNS model for predicting long-term survival in elderly patients following curative resection for advanced gastric cancer The study is a retrospective multi-center analysis involving 924 gastric cancer patients treated at the Department of Gastrointestinal Surgery of the Affiliated Union Hospital of Fujian Medical University between 2009 and 2013 and 512 patients aged 65 and above who underwent gastric resection at the Affiliated Zhongshan Hospital of Dalian University between 2011 and 2018 An online prognostic tool is introduced to assist clinicians in predicting patient prognosis and customizing treatment and follow-up strategies
Detailed Description:
Data were collected from 1436 gastric cancer patients of which 555 elderly patients with advanced gastric cancer were ultimately included after applying exclusion criteria Patients were divided into training and testing cohorts from the Fujian Medical University Affiliated Union Hospital and Dalian University Affiliated Zhongshan Hospital The study was approved by the institutional review boards with a waiver of informed consent due to the use of anonymized secondary data The analysis utilized the Cox proportional hazards model to select key variables for predicting overall survival OS The study also implemented rigorous data handling procedures including multiple imputations for missing data The development of an online prognostic tool based on the Nomogram model is part of the project designed to provide real-time survival predictions through a user-friendly interface for clinical application
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