Clinical trial NCT06145230: A Cross-sectional Survey of Colorectal Cancer Patients in Different Age Groups
Official title: A Cross-sectional Survey of Symptomatic Characteristics, Family History and Pathologic Features of Colorectal Cancer Patients in Different Age Groups
Study type: OBSERVATIONAL
Overall status: RECRUITING
Conditions: Colorectal Cancer
Age Problem
Keywords: Colorectal caner
Age group
Family history
Symptomatic characteristics
Pathologic features
Lead sponsor: The Second Affiliated Hospital of Harbin Medical University
Sponsor class: OTHER
First posted: 2023-11-24
Enrollment: 430
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: CROSS_SECTIONAL
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Colorectal cancer patients in different age groups

Brief summary: This study will help to determine the main clinical symptom differences between patients of different ages, discover the family genetic predisposition of patients of different ages, and obtain the differences in pathological characteristics of patients of different ages, so as to provide help and basis for more accurate and earlier prevention and treatment of colorectal cancer.

Detailed description: Colorectal cancer is one of the common and highly prevalent malignant tumors of the gastrointestinal system. Previous studies have found that there may be some differences in disease characteristics and prognosis of colorectal cancer patients at different ages, such as patients with early-onset colorectal cancer (age \<50 years) tend to have a worse prognosis than patients with late-onset colorectal cancer (age ≥50 years). However, existing studies on the characteristics of colorectal cancer patients at different ages are not well studied to answer the differences between these patients and develop targeted diagnostic and treatment strategies. Cross-sectional survey research, which uses survey research to collect data on a characteristic group over a certain period of time and statistically analyzes the data to obtain the characteristics of a certain disease or a certain treatment strategy, is a more mature approach that is particularly suitable for the questions that need to be answered in this study. Investigators found that no similar studies have been registered and conducted by searching the official websites of the China Clinical Research Registry and Clinical Trial, and there is a lack of research data on the Chinese population. Therefore, investigators believe there is an urgent need for a cross-sectional survey to study the symptomatic characteristics, family history, and pathologic features of colorectal cancer patients. This study will help to determine the main clinical symptom differences between patients of different ages, discover the family genetic predisposition of patients of different ages, and obtain the differences in pathological characteristics of patients of different ages, so as to provide help and basis for more accurate and earlier prevention and treatment of colorectal cancer.

Eligibility criteria: Inclusion Criteria:

1. Adults aged 18 years and older with a pathologic diagnosis of colorectal cancer;
2. Undergoing surgical treatment of the primary lesion;
3. Voluntary participation of patients.

Exclusion Criteria:

1. Do not agree to participate in the survey or withdraw informed consent
2. Patients did not receive surgical treatment or did not undergo pathologic examination

Primary outcomes:
measure: Characteristics of clinical symptoms
timeFrame: 2023.12-2024.10
measure: Family history
timeFrame: 2023.12-2024.10
measure: Pathological characteristics
timeFrame: 2023.12-2024.10
Secondary outcomes:
measure: Risk factors
timeFrame: 2024.09-2024.10
Other outcomes:
Locations:
city: Harbin
country: China
facility: the 2nd Affiliated Hospital of Harbin Medical University
state: Heilongjiang
Study officials:
affiliation: Second Affiliated Hospital of Harbin Medical University Ethics Committee
name: Ye Tian, Prof.
role: STUDY_CHAIR
References: