Prediction Model for Advanced Gastric Cancer in Elderly

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

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06467591

Enrollment

1436

Registered

2024-06-21

Start date

2024-01-01

Completion date

2024-05-20

Last updated

2024-06-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Aged, Stomach Neoplasms

Keywords

Stomach Neoplasms, Prognosis, Elderly, Prediction Model

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

65 Years to No maximum

Healthy volunteers

Inclusion criteria

* Confirmed as primary gastric adenocarcinoma by preoperative gastric endoscopy pathology; * Underwent R0 laparoscopic radical gastrectomy for gastric cancer; * Pathological stage T2-4a-N+; * Age ≥ 65 years.

Exclusion criteria

* Pathological stage T1 and T2N0; * Age \< 65 years; * Presence of peritoneal or distant metastasis confirmed before or during surgery; * Received neoadjuvant chemotherapy before surgery; * Remnant gastric cancer; * Emergency surgery or palliative exploratory surgery; * Preoperative abdominal CT scan not available or preoperative examination time \> 1 month; * Survival time less than 1 month; * Incomplete clinical and pathological data.

Design outcomes

Primary

Measure	Time frame	Description
5-Year Overall Survival	5 years or 60 months.	The proportion of patients who are alive at five years after treatment for elderly gastric cancer patients.

Secondary

Measure	Time frame	Description
3-Year Overall Survival	3 years or 36 months.	The proportion of patients who have survived without any signs or symptoms of gastric cancer for 3 years after the initial treatment.
1-Year Overall Survival	1 years or 12 months.	The proportion of patients who have survived without any signs or symptoms of gastric cancer for 1 years after the initial treatment.

Countries

China

Outcome results