EOCRCPred: an AI Model for Predicting Overall Survival in Early-Onset Stage I-III Colorectal Cancer Patients Post-Radical Resection-A SEER Database and Dual-Center Chinese Medical Institutions Study
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 250
- 试验地点
- 2
- 主要终点
- Assessment of Clinical Characteristics and Survival Status of Subjects Using the CRF Scale
研究概览
简要总结
The goal of this observational study is to develop a predictive model for overall survival in patients under the age of 50 who have undergone surgery for early-onset colorectal cancer (EOCRC). The main question it aims to answer is:
Can machine learning models accurately predict the long-term survival of EOCRC patients after surgical treatment?
Participants who have already undergone surgery for EOCRC as part of their regular medical care will have their clinical data analyzed, with survival outcomes tracked through follow-up assessments. An online survival calculator will also be developed to aid clinicians and patients in predicting personalized survival outcomes.
详细描述
To avoid duplicating information that will be entered or uploaded elsewhere in the record, here is a concise summary of the key components of the study:
- Study Title**: *EOCRCPred: An AI Model to Predict Survival in Early-onset Colorectal Cancer Patients After Surgery*
- Introduction**:
This study addresses the increasing incidence and mortality of early-onset colorectal cancer (EOCRC) in patients under 50. EOCRC exhibits distinct clinical and pathological features compared to late-onset CRC, including higher recurrence rates and advanced disease stages at diagnosis. Current predictive models for postoperative outcomes in EOCRC are limited, highlighting the need for specialized tools to guide treatment decisions.
- Objectives**:
- Develop AI models for predicting overall survival (OS) in postoperative M0 EOCRC patients.
- Propose a new survival risk stratification system.
- Deploy an online survival calculator to assist clinical decision-making.
- Methods**:
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 49 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Primary EOCRC confirmed by pathological histological examination (ICD-10 codes: C18.0, C18.2-18.9, C19.9, C20.9)
- •Radical surgery performed (Specific Surgery Codes 30-70, including partial/subtotal colectomy, hemicolectomy, right/left colectomy, and total colectomy, as well as partial or total removal of other organs and regional lymph nodes)
- •Stage I-III disease according to the 7th AJCC-TNM system
排除标准
- •Patients with multiple primary cancers or other malignancies
- •Survival time of less than 1 month, or absence of postoperative follow-up information
- •Incomplete critical clinical feature information
结局指标
主要结局
Assessment of Clinical Characteristics and Survival Status of Subjects Using the CRF Scale
时间窗: 2024.11
Age, Gender, Race, Primary Site, Tumor Diameter, Differentiation Degree, Histology, TNM Stage, CEA, Surgery Type, Number of Resected Lymph Nodes, Tumor Deposits, Neural Invasion, Radiation Sequence, Chemotherapy Sequence, Systemic Therapy Sequence, Marital Status, Household Income, Survival Status, Postoperative Survival Time.
次要结局
未报告次要终点
研究者
Wanli Deng, MD
Principal Investigator
Shanghai University of Traditional Chinese Medicine