Evidence map›Paper›PMID 41504931›Full record

ArticleJournal of neuro-oncology2026

Understanding the difference in symptoms and outcomes between glioblastoma patients diagnosed based on histological or molecular criteria: a retrospective cohort analysis from the Histo-Mol GBM collaborative.

Stephen David Robinson, Sarah Kingdon, Sophie Therese Williams, Ciaran Scott Hill, Matthew Williams, Edward Chandy, Giles Critchley, Histo-Mol GBM collaborative

Abstract readMulticenter Study
In one paragraph

Article in Journal of neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Stephen David RobinsonSussex Cancer Centre, University Hospitals Sussex NHS Foundation Trust, Brighton, BN25BE, UK. stephen.robinson@nhs.net.ORCID http://orcid.org/0000-0003-0623-4636
Sarah KingdonTessa Jowell Brain Cancer Mission, London, UK.ORCID http://orcid.org/0000-0002-6582-9632
Sophie Therese WilliamsDivision of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-5843-0295
Ciaran Scott HillNational Hospital for Neurology and Neurosurgery, Brain Tumour Service (Neuro-Oncology), London, UK.ORCID http://orcid.org/0000-0002-4488-4034
Matthew WilliamsDepartment of Radiotherapy, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London, UK.ORCID http://orcid.org/0000-0001-7096-0718
Edward ChandySussex Cancer Centre, University Hospitals Sussex NHS Foundation Trust, Brighton, BN25BE, UK.ORCID http://orcid.org/0000-0002-6117-8692
Giles CritchleyDepartment of Neurosurgery, University Hospitals Sussex NHS Foundation Trust, Brighton, UK. giles.critchley@nhs.net.ORCID http://orcid.org/0009-0008-2628-8176
Histo-Mol GBM collaborative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSince the 2021 World Health Organisation (WHO) classification, glioblastoma could be diagnosed based on classical histological features (hGBM) or molecular criteria (mGBM). However, prior studies included patients who required reclassification as a mGBM, potentially biasing survival analyses. The Histo-Mol GBM collaborative performed an international multicentre retrospective real-world cohort study of glioblastoma patients diagnosed according to WHO CNS 5.

methodsWe identified consecutive patients diagnosed in 2021 with IDH wildtype glioblastoma according to WHO CNS 5. Clinicopathological, treatment, and survival data were collected and compared between mGBM and hGBM.

results1828 patients diagnosed with glioblastoma were included. 75 mGBM patients (8.4% of tested patients) were identified, with no difference in age (median 61 vs 64, p = 0.057), gender (p = 0.937), or proportion with performance status 0–1 (82.7% vs 68.3%, p = 0.052) compared to hGBM. mGBM patients had an extended interval from MRI to surgery (median 23 vs 14 days, p < 0.001) and more frequently underwent biopsy (69.3% vs 30.3%, p < 0.001), but equivalent proportions received oncological treatment (80.0% vs 78.7%, p = 0.784). Overall survival (OS) from surgery was not different (p = 0.063). However, OS from initial MRI, stratified by surgical extent, demonstrated improved OS for mGBM patients (hazard ratio (HR) 0.56, 95% confidence interval (CI): 0.43–0.73). Propensity score matching identified improved survival following resection (HR 0.48, 95% CI: 0.24–0.95; median OS: 26.0 versus 14.0 months, p = 0.031) but not biopsy (HR 1.10, 95% CI: 0.71–1.72).

conclusionIn this large real-world cohort, mGBMs had longer OS than hGBMs following resection with implications for prognostication and clinical decision making.

Indexed as

Brain NeoplasmsGlioblastomaAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRetrospective StudiesSurvival RateClassificationGlioblastomaHistologyMolecular glioblastomaReal-world evidenceSurvival

Identifiers

PMID41504931
PMCPMC12783167

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.