Work

Bayesian Network Meta-Analysis Code and Curated Data for: Comparative Network Meta-Analysis of Immunotherapy and Targeted Agents for Glioblastoma Survival and Response

Year: 2026

Type: review

Abstract: This software record contains the custom R scripts and curated study-level tables used to reproduce the revised Bayesian network meta-analysis reported in “Comparative Network Meta-Analysis of Immunotherapy and Targeted Agents for Glioblastoma Survival and Response.” The workflow applies revised eligibility rules and treatment-node mapping, fits Bayesian random-effects network models for overall survival and progression-free survival, summarizes objective response rate descriptively, and generates reproducible tables and analysis outputs. Statistical analyses were performed in R using gemtc interfaced with JAGS.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21435382

Authors: Shafi, Shaheryar, Anwaar, Waqas, Hamid, Arslan, Yang, Jiao, Sun, Minxuan

Institutions: University of Science and Technology of China, Suzhou Institute of Biomedical Engineering and Technology, Shenzhen University, University of Bonn, Nanjing University

Language: English

Topic: Glioma Diagnosis and Treatment

Subfield: Genetics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7169727176

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