Survival prediction in glioblastoma: 10-year follow-up from the Dutch Neurosurgery Quality Registry

  • 0Department of Neurosurgery, Haaglanden Medical Centre, The Hague, The Netherlands.

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Summary

This summary is machine-generated.

Glioblastoma survival remains poor despite advances. Surgical resection and adjuvant therapy improve outcomes, but age and molecular markers significantly influence prognosis. New models aid patient-centered care.

Area Of Science

  • Neuro-oncology
  • Clinical Epidemiology
  • Surgical Oncology

Background

  • Glioblastoma is a highly aggressive primary brain tumor with poor outcomes.
  • Standard treatments offer limited efficacy, necessitating improved prognostic tools.

Purpose Of The Study

  • To evaluate survival and prognostic factors in glioblastoma patients.
  • To develop pragmatic prognostic models for individualized patient care.
  • To analyze treatment variations and outcomes in a large Dutch cohort.

Main Methods

  • Prospective cohort analysis of 7621 glioblastoma patients (2012-2022).
  • Univariate analysis, Kaplan-Meier curves, and Cox regression for prognostic modeling.
  • Funnel plots assessed center performance and surgical volume impact.

Main Results

  • Median survival was 10.4 months; 2-year survival was 17.8%.
  • Factors influencing survival included age, ASA classification, Karnofsky Performance Status, extent of resection, complications, MGMT methylation, and adjuvant therapy.
  • Prognostic models achieved C-indices of 0.704 (6-month) and 0.721 (2-year).

Conclusions

  • Surgical resection and adjuvant therapy improve glioblastoma survival but prognosis remains poor.
  • Age, premorbid condition, treatment, and molecular markers are key survival determinants.
  • Developed prognostic models show potential for clinical decision-making after validation.

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