Evidence map›Paper›PMID 31369680›Full record

Trial reportNeuro-oncology2019

Temporal muscle thickness is an independent prognostic marker in patients with progressive glioblastoma: translational imaging analysis of the EORTC 26101 trial.

Julia Furtner, Els Genbrugge, Thierry Gorlia, Martin Bendszus, Martha Nowosielski, Vassilis Golfinopoulos, Michael Weller, Martin J van den Bent, Wolfgang Wick, Matthias Preusser

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Neuro-oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
7.0field-weighted citation impact, top 2% of its field
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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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  7. Two-arm study of sarcopenia in geriatric patients with high-grade glial tumors: temporal muscle thickness and prognostic nutritional index.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

10 authors at 6 institutions in 5 countries.

Julia FurtnerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Els GenbruggeEuropean Organisation for Research and Treatment of Cancer, Brussels, Belgium.
Thierry GorliaEuropean Organisation for Research and Treatment of Cancer, Brussels, Belgium.
Martin BendszusUniversity Medical Center, Department of Neuroradiology, Heidelberg, Germany.
Martha NowosielskiDepartment of Neurology, Medical University Innsbruck, Innsbruck, Austria.
Vassilis GolfinopoulosEuropean Organisation for Research and Treatment of Cancer, Brussels, Belgium.
Michael WellerClinical Cooperation Unit, Neuro-Oncology, German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany.
Martin J van den BentDepartment of Neurology/Neuro-Oncology, Erasmus MC-Cancer Institute, Rotterdam, Netherlands.
Wolfgang WickNeurology Clinic, University of Heidelberg, Heidelberg, Germany.
Matthias PreusserDepartment of Medicine I, Medical University of Vienna, Vienna, Austria.
European Organisation for Research and Treatment of Cancer · BEHeidelberg University · DEMedical University of Vienna · ATErasmus MC Cancer Institute · NLGerman Cancer Research Center · DEInnsbruck Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTemporal muscle thickness (TMT) was described as a surrogate marker of skeletal muscle mass. This study aimed to evaluate the prognostic relevance of TMT in patients with progressive glioblastoma.

methodsTMT was analyzed on cranial MR images of 596 patients with progression of glioblastoma after radiochemotherapy enrolled in the European Organisation for Research and Treatment of Cancer 26101 trial. An optimal TMT cutoff for overall survival (OS) and progression-free survival (PFS) was defined in the training cohort (n = 260, phase II). Patients were grouped as "below" or "above" the TMT cutoff and associations with OS and PFS were tested using the Cox model adjusted for important risk factors. Findings were validated in a test cohort (n = 308, phase III).

resultsAn optimal baseline TMT cutoff of 7.2 mm was obtained in the training cohort for both OS and PFS (area under the curve = 0.64). Univariate analyses estimated a hazard ratio (HR) of 0.54 (95% CI: 0.42, 0.70; P < 0.0001) for OS and an HR of 0.49 (95% CI: 0.38, 0.64; P < 0.0001) for PFS for the comparison of training cohort patients above versus below the TMT cutoff. Similar results were obtained in Cox models adjusted for important risk factors with relevance in the trial for OS (HR, 0.54; 95% CI: 0.41, 0.70; P < 0.0001) and PFS (HR, 0.47; 95% CI: 0.36, 0.61; P < 0.0001). Results were confirmed in the validation cohort.

conclusionReduced TMT is an independent negative prognostic parameter in patients with progressive glioblastoma and may help to facilitate patient management by supporting patient stratification for therapeutic interventions or clinical trials.

Indexed as

AgedBrain NeoplasmsChemoradiotherapyFemaleFollow-Up StudiesGlioblastomaHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedPrognosisProspective StudiesRetrospective StudiesSurvival RateTemporal Muscleoverall survivalprogression-free survivalrecurrent glioblastomasarcopeniatemporal muscle thickness

Identifiers

PMID31369680
PMCPMC6917403
OpenAlexW2966408271

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.