NCT06199388Completed
Development and Validation of a Deep Learning-Based Survival Prediction Model for Pediatric Glioma Patients: A Retrospective Study Using the SEER Database and Chinese Data
Source: ClinicalTrials.gov · Last updated 10 Jan 2024
Brief summary (registry, in English)
Accurately predicting the survival of pediatric glioma patients is crucial for informed clinical decision-making and selecting appropriate treatment strategies. However, there is a lack of prognostic models specifically tailored for pediatric glioma patients. This study aimed to address this gap by developing a time-dependent deep learning model to aid physicians in making more accurate prognostic assessments and treatment decisions.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 9532 (actual)
- First submitted
- 27 Dec 2023
- Start date
- 20 Sept 2022
- Primary completion date
- 16 Aug 2023
- Lead sponsor
- Tang-Du Hospital
- Diseases
- Childhood cancers
- NCT number
- NCT06199388
What you commit to
- Study type: Observational
- Participants enrolled: 9532
- From 20 Sept 2022 to the primary completion date, 16 Aug 2023
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other
- Only patients with available survival time were included, and those with unknown or missing clinical features were excluded.
Who the study is looking for
- To identify specific tumor types, the International Classification of Diseases for Oncology, 3rd Edition codes (ICD-O-3) were used, including codes 9450, 9394, 9421, 9384, 9383, 9424, 9400, 9420, 9410, 9411, 9380, 9382, 9391, 9393, 9390, 9401, 9381, 9451, 9440, 9441, 9442, 9430, and 9380, covering astrocytic tumors, oligodendroglia tumors, oligoastrocytic tumors, ependymal tumors, and other gliomas. Inclusion criteria comprised all primary brain tumors (C71.0-C71.9, C72.3, C72.8, C75.3) diagnosed, among patients under 21 years old, and meeting the third edition of the ICD-O-3 classification.
Age in the registry: - to 21 years · Sex: All
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Tangdu Hospital Coordinator of this site? Confirm its status | Xi'an | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.