Correlation Between Body Composition and Pathologic Grade/Prognosis in GEP-NENs: A Retrospective Study
NCT ID: NCT06983106
Last Updated: 2025-05-21
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
633 participants
OBSERVATIONAL
2024-11-04
2025-03-29
Brief Summary
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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.
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Detailed Description
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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
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Study Design
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COHORT
RETROSPECTIVE
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* Available enhanced CT scans that included full abdominal imaging before surgery or biopsy
Exclusion Criteria
* Poor image quality or incomplete CT images of the whole abdomen
ALL
No
Sponsors
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Tongji Hospital
OTHER
Responsible Party
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Zhen Li
Professor
Principal Investigators
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Zhen Li, Dr
Role: PRINCIPAL_INVESTIGATOR
Tongji Hospital
Locations
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Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China
Countries
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Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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TJ-IRB202411010
Identifier Type: -
Identifier Source: org_study_id
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