Trials / Completed
CompletedNCT06983106
Correlation Between Body Composition and Pathologic Grade/Prognosis in GEP-NENs: A Retrospective Study
Value of Automatically Segmented Three-Dimensional(3D) Volumetric Body Composition in Predicting the Pathological Grading and Prognosis of Gastroenteropancreatic Neuroendocrine Neoplasms: A Multicenter Study
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 633 (actual)
- Sponsor
- Tongji Hospital · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Not accepted
Summary
The goal of this observational study is to learn about the value of body composition as predictors of pathological grading and prognosis in patients with gastroenteropancreatic neuroendocrine neoplasms. The main question it aims to answer is: Does body composition affect the pathological grading and prognosis of patients with gastroenteropancreatic neuroendocrine tumors? Participants with gastroenteropancreatic neuroendocrine neoplasms will answer questions about their physical condition during follow-up visits.
Detailed description
Objectives To explore the value of body composition parameters (BCPs) as predictors of pathological grading, prognosis in patients with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs). Methods This retrospective multicenter analysis enrolled GEP-NENs patients pathologically confirmed from three institutions between 2015 and 2024. The volume of skeletal muscle and abdominal fat tissue was calculated based on CT scans at diagnosis. Univariate and multivariate logistic regression analyses were used to identify the relationships between BCPs and the pathological grade. The Kaplan-Meier method, along with the log-rank test, was employed for survival analysis. Independent prognostic factors were identified through uni- and multivariable Cox regression analyses.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | body composition calculate | The goal of this observational study is to learn about the value of body composition as predictors of pathological grading and prognosis in patients with gastroenteropancreatic neuroendocrine neoplasms. The volume of abdominal skeletal muscle and fat tissue is calculated based on CT scans at diagnosis. |
Timeline
- Start date
- 2024-11-04
- Primary completion
- 2024-12-30
- Completion
- 2025-03-29
- First posted
- 2025-05-21
- Last updated
- 2025-05-21
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06983106. Inclusion in this directory is not an endorsement.