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NCT06199388

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

Completed Last updated 10 January 2024
What this trial tests

trial testing Survival state in Glioma in 9,532 participants. Completed in 20 December 2023.

Timeline
20 September 2022
Primary endpoint
16 August 2023
20 December 2023

Quick facts

Lead sponsorTang-Du Hospital
StatusCompleted
Study typeOBSERVATIONAL
Enrollment9,532
Start date20 September 2022
Primary completion16 August 2023
Estimated completion20 December 2023
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Tang-Du Hospital

Who can join

Under 21, any sex, with Glioma. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for Glioma

Currently open trials in the same condition.

Other Tang-Du Hospital trials

Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06199388.

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