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NCT06256185

Machine Learning to Predict Lymph Node Metastasis in T1 Esophageal Squamous Cell Carcinoma

Completed NA Last updated 13 February 2024
What this trial tests

NA trial testing esophagectomy in Lymph Node Metastasis in 1,267 participants. Completed in 15 July 2023.

Timeline
15 January 2010
Primary endpoint
15 December 2019
15 July 2023

Quick facts

Lead sponsorShanghai Zhongshan Hospital
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposediagnostic
Enrollment1,267
Start date15 January 2010
Primary completion15 December 2019
Estimated completion15 July 2023
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Shanghai Zhongshan Hospital

Who can join

Eligibility, any sex, with Lymph Node Metastasis. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Existing models do poorly when it comes to quantifying the risk of Lymph node metastases (LNM). This study generated elastic net regression (ELR), random forest (RF), extreme gradient boosting (XGB), and a combined (ensemble) model of these for LNM in patients with T1 esophageal squamous cell carcinoma.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Machine learning to predict lymph node metastasis in T1 esophageal squamous cell carcinoma: a multicenter study.
    Huang X, Wang Q, Xu W, Liu F, et al · · 2024 · cited 7× · PMID 38905510 · DOI 10.1097/js9.0000000000001694

Verify or expand the search:

Other trials of esophagectomy

Trials testing the same drug.

Other recruiting trials for Lymph Node Metastasis

Currently open trials in the same condition.

Other Shanghai Zhongshan Hospital trials

Trials by the same sponsor.

Verify against primary sources

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/NCT06256185.

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