ArticleBrain sciences2025
Response Assessment in Long-Term Glioblastoma Survivors Using a Multiparametric MRI-Based Prediction Model.
Laiz Laura de Godoy, Archith Rajan, Amir Banihashemi, Thara Patel, Arati Desai, Stephen Bagley, Steven Brem, Sanjeev Chawla, Suyash Mohan
Abstract read
In one paragraphArticle in Brain sciences, 2025. 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
Laiz Laura de GodoyDepartments of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Archith RajanDepartments of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Amir BanihashemiPathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-7898-8459 Thara PatelNeurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Arati DesaiAbramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Stephen BagleyAbramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Steven BremNeurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-5803-8920 Sanjeev ChawlaDepartments of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-6978-7284 Suyash MohanDepartments of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
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
$3.2MNCI NIH HHS R01 CA269948
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
diffusion tensor imagingdynamic susceptibility contrast-perfusion MRIglioblastomalong-term survivalpseudoprogressiontrue progression
Identifiers
PMID40002479
PMCPMC11852837
What OpenQuestion holds
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