Evidence map›Paper›PMID 41000272›Full record

ArticleNeuro-oncology advances

Prediction of progression-free and overall survival following temozolomide chemoradiation using FET PET-based parameters including radiomics in patients with glioblastoma.

Isabelle Stetter, Jan-Michael Werner, Michael Wollring, Garry Ceccon, Keith George Ciantar, Gabriele Stoffels, Felix M Mottaghy, Gereon R Fink, Karl-Josef Langen, Philipp Lohmann and 1 more

Abstract read
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. 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. Article
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

11 authors.

Isabelle StetterDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.ORCID https://orcid.org/0009-0007-1732-5759
Jan-Michael WernerDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0001-7147-4594
Michael WollringDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
Garry CecconDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
Keith George CiantarInstitute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany.
Gabriele StoffelsInstitute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany.ORCID https://orcid.org/0000-0001-7114-1941
Felix M MottaghyCenter of Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Cologne, Germany.
Gereon R FinkInstitute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany.
Karl-Josef LangenCenter of Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Cologne, Germany.
Philipp LohmannDepartment of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany.ORCID https://orcid.org/0000-0002-5360-046X
Norbert GalldiksCenter of Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Cologne, Germany.ORCID https://orcid.org/0000-0002-2485-1796

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early after surgery and completion of first-line radiotherapy with concomitant temozolomide, the prediction of progression-free and overall survival (PFS, OS) is of considerable interest for managing patients with glioblastoma. Methods: Sixty-three newly diagnosed patients with glioblastoma (age range, 19-82 years) who received PET imaging using the radiolabeled amino acid Results: ROC analyses revealed that static parameters (ie, TBR Conclusion: Our results suggest that FET PET parameters, including radiomics, are highly prognostic in patients with glioblastoma at an early stage of first-line therapy.

Indexed as

artificial intelligencegliomaprognosis

Identifiers

PMID41000272
PMCPMC12458579

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.