A Cross-Sectional Analysis of Interventional Clinical Trials in High-Grade Glioma Therapy

Angelo Angione1,2, Jonathan Patterson1, Ebrar Akca1

  • 1Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.

PubMed

Insights

Clinical trials for high-grade glioma lack comprehensive demographic data and equitable geographic representation. This limits understanding of treatment efficacy across diverse patient populations and hinders access to novel therapies.

Area of Science:

  • Neuro-oncology
  • Clinical trial methodology
  • Health equity

Background:

  • High-grade glioma remains a leading cause of cancer-related death, with stagnant standards of care for over a decade.
  • Despite therapeutic advancements, clinical trial participation and data reporting present significant challenges.

Purpose of the Study:

  • To analyze demographic and geographic reporting in high-grade glioma interventional trials.
  • To identify disparities in participant representation and trial accessibility.

Main Methods:

  • Cross-sectional analysis of 201 interventional trials completed between 2010 and 2023, including 18,563 participants.
  • Evaluation of reported demographic data (age, sex, ethnicity) and geographic distribution of trials across the United States.

Main Results:

  • While age and sex were universally reported, only 52% of trials reported other demographics, leaving 51% unreported.
  • Ethnicity data was largely missing (60% unreported), and males were underrepresented (60% of participants vs. 75% of glioblastoma patients).
  • Significant geographic "coverage deserts" were identified in rural areas, with trials concentrated in urban, wealthier regions, suggesting socioeconomic barriers to participation.

Conclusions:

  • High-grade glioma trials exhibit critical gaps in demographic and geographic reporting, impacting generalizability and equity.
  • Inconsistent improvements in reporting and unequal trial site distribution necessitate targeted interventions to enhance patient access and data completeness.