Evidence map›Paper›PMID 42825191›Full record

ArticleNeuro-oncology advances

Poor brain reserve increases mortality risk in glioblastoma.

Sree Gongala, Robin Ghotra, George Wang, Jose A Garcia, Rubo Xing, Parisa Arjmand, Pamela LaMontagne, Carmen Balana, Josep Puig, Danial Marcus and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Sree GongalaDepartment of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland.ORCID https://orcid.org/0009-0006-6074-4871
Robin GhotraDepartment of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland.ORCID https://orcid.org/0009-0003-7270-9182
George WangSchool of Medicine, Case Western Reserve University, Cleveland.ORCID https://orcid.org/0000-0003-1463-5579
Jose A GarciaCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0009-0000-2703-0777
Rubo XingCenter for AI and Data Science for Integrated Diagnostics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0009-0008-7944-4785
Parisa ArjmandDepartment of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland.ORCID https://orcid.org/0000-0001-5580-3087
Pamela LaMontagneSchool of Medicine, Case Western Reserve University, Cleveland.ORCID https://orcid.org/0000-0002-6752-8518
Carmen BalanaBadalona Applied Research Group in Oncology (B-ARGO Group), Institut Investigació Germans Trias i Pujol (IGTP), Badalona.ORCID https://orcid.org/0000-0003-0771-0390
Josep PuigResearch Unit (IDIR) Image Diagnosis Institute, Badalona.ORCID https://orcid.org/0000-0003-2791-6599
Danial MarcusDepartment of Radiology, Washington University School of Medicine, St. Louis.ORCID https://orcid.org/0000-0001-5662-5358
Yilun SunDepartment of Population and Quantitative Health Sciences, Case Western Reserve University and University Hospitals of Cleveland, Cleveland.ORCID https://orcid.org/0000-0002-1341-382X
Wassim MalakDepartment of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland.
Haley PerlowDepartment of Radiation Oncology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland.ORCID https://orcid.org/0000-0001-8667-0782
Tiffany R HodgesDepartment of Neurological Surgery, Case Western Reserve University and University Hospitals of Cleveland, Cleveland.ORCID https://orcid.org/0000-0002-3788-1724
Christos DavatzikosCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0002-1025-8561
Chaitra BadveDepartment of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland.ORCID https://orcid.org/0000-0001-8547-8019

Funding

Generalizable quantitative imaging and machine learning signatures in glioblastoma, for precision diagnostics and personalized treatment: the ReSPOND consortiumR01CA269948 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Christos Davatzikos · 2022 to 2026
$3.2M
MR Fingerprinting based Quantitative Imaging and Analysis Platform (MRF-QIA) for brain tumors.R01CA269604 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI BADVE, CHAITRA, DAVATZIKOS, CHRISTOS · 2023 to 2025
$1.7M
NCI NIH HHS R01 CA269604NCI NIH HHS R01 CA269948
6 · The paper itself

Abstract

Background: Brain reserve refers to the structural capacity of the brain and correlates with age and Karnofsky Performance Status (KPS). While age and KPS are known independent predictors of survival in glioblastoma patients, the role of brain reserve in influencing glioblastoma outcomes remains unexplored. This study investigates the relationship between baseline brain-reserve metrics and survival outcomes in isocitrate dehydrogenase 1-wildtype (IDH1-WT) glioblastoma. Methods: We analyzed 841 patients with IDH1-WT glioblastoma using clinical data and presurgical MR images sourced from 4 institutions. MRI-based tumor characteristics and quantitative brain-reserve metrics were assessed using the Cancer Imaging Phenomics Toolkit and the Computational Anatomy Toolbox. Statistical and survival analyses were conducted using MATLAB and R. Results: Long-term survivors showed significantly higher residual functional gray matter volume (rfGM) ( Conclusion: This multi-institutional study establishes significant associations between structural brain-reserve metrics and glioblastoma outcomes, independent of age and KPS. The findings highlight the potential of brain reserve as a new biomarker for brain tumor prognosis and treatment planning.

Indexed as

agebrain reserveglioblastomaKarnofsky performance statussurvival outcomes

Identifiers

PMID42825191
PMCPMC13629547

What OpenQuestion holds

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Registered trials

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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.