A Nomogram for Predicting the Diagnosis of Central Malignant Tumors Based on Preoperative Clinical Characteristics and Laboratory Indicators:

NCT06914700 | Completed DMC

• 1 other identifier: GDPH-PG
• Study Type: observational
• Target: 800
• Locations: 0 countries
• Sites: N/A

Brief Summary

The purpose of this study is to develop a nomogram to predict the diagnostic probability of preoperative central lymphoma and glioma, as well as the diagnostic probability of glioblastoma and non glioblastoma in central malignant tumors. The author retrospectively analyzed patients with central lymphoma and glioma who received treatment in the neurosurgery department of Guangdong Provincial People's Hospital from 2016 to 2024. Eligible patients were randomly divided into training and validation sets in a 7:3 ratio. By integrating the least absolute shrinkage and selection operator \[LASSO\] and multivariate logistic regression analysis, the key variables for establishing a nomogram were identified. Moreover, seven models including logistic regression, decision tree, random forest, support vector machine (SVM), neural network, XGBoost, and lightGBM were used to calculate the area under the receiver operating characteristic curve (AUC)

Conditions

Central Malignant Tumors; PCNSL; Glioma; GBM

Outcome Measures

Primary Outcomes (1)

• Dependent Receiver Operating Characteristic (ROC) curve

  The most recent blood test result before surgery

Study Arms (3)

PCNSL

The postoperative pathological result is PCNSL

Glioma

The postoperative pathological result is Glioma

GBM

The postoperative pathological result is GBM

Eligibility Criteria

• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The first postoperative pathological result suggests patients with PCNSL or GLioma

You may qualify if:

• \- Patients who underwent surgical treatment and were diagnosed with PNCSL or glioma after surgery;

You may not qualify if:

• \- Patients who have not undergone their first surgery

Sponsors & Collaborators

• Guangdong Provincial People's Hospital: lead

MeSH Terms

Conditions

Glioma

Condition Hierarchy (Ancestors)

Neoplasms, Neuroepithelial; Neuroectodermal Tumors; Neoplasms, Germ Cell and Embryonal; Neoplasms by Histologic Type; Neoplasms; Neoplasms, Glandular and Epithelial; Neoplasms, Nerve Tissue

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Department Head

Study Record Dates

• First Submitted: March 31, 2025
• First Posted: April 6, 2025
• Study Start: September 1, 2016
• Primary Completion: August 1, 2024
• Study Completion: December 1, 2024
• Last Updated: April 9, 2025

Record last verified: 2025-04