Evidence map›Paper›PMID 35475275›Full record

ArticleNeuro-oncology advances

Temporal muscle thickness as an independent prognostic imaging marker in newly diagnosed glioblastoma patients: A validation study.

Martinus P G Broen, Rueben Beckers, Anna C H Willemsen, Sandra M H Huijs, Raphael C O S Pasmans, Daniëlle B P Eekers, Linda Ackermans, Jan Beckervordersandforth, Elisabeth P M van Raak, Maikel Verduin and 3 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  4. 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

13 authors.

Martinus P G BroenDepartment of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.ORCID https://orcid.org/0000-0002-8834-2202
Rueben BeckersDepartment of Neurology, Zuyderland Medical Center, Heerlen, the Netherlands.
Anna C H WillemsenGROW-School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands.
Sandra M H HuijsDepartment of Neurology, Zuyderland Medical Center, Heerlen, the Netherlands.
Raphael C O S PasmansDepartment of Neurology, Zuyderland Medical Center, Heerlen, the Netherlands.
Daniëlle B P EekersDepartment of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Center, Maastricht, the Netherlands.
Linda AckermansDepartment of Neurosurgery, Maastricht University Medical Center, Maastricht, the Netherlands.
Jan BeckervordersandforthGROW-School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands.
Elisabeth P M van RaakDepartment of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.
Maikel VerduinGROW-School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands.
Monique H M E AntenDepartment of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.
Ann HoebenGROW-School for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands.
Alida A PostmaDepartment of Radiology, Maastricht University Medical Center, Maastricht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have recognized temporal muscle thickness (TMT) as a prognostic marker in glioblastoma, but clinical implementation is hampered due to studies' heterogeneity and lack of established cutoff values. The aim of this study was to assess the validity of recent proposed sex-specific TMT cutoff values in a real-world population of genotyped primary glioblastoma patients. Methods: We measured TMT in preoperative MR images of 328 patients. Sex-specific TMT cutoff values were used to divide patients into "at risk of sarcopenia" or "normal muscle status". Kaplan-Meier analyses and stepwise multivariate Cox-Regression analyses were used to assess the association with overall survival (OS) and progression-free survival (PFS). The association with occurrence of complications and discontinuation of glioblastoma treatment was investigated using odds ratios (OR). Results: Patients at risk of sarcopenia had a significantly higher risk of progression and death than patients with normal muscle status, which remained significant in the multivariate analyses (OS HR = 1.437; 95%CI: 1.046-1.973; Conclusions: Our study confirms external validity of the use of proposed sex-specific TMT cutoff values as an independent prognostic marker in newly diagnosed glioblastoma patients. This simple, noninvasive marker could improve patient counseling and aid in treatment decision processes or trial stratification.

Indexed as

glioblastomaimaging markersarcopeniasurvivaltemporal muscle thickness

Identifiers

PMID35475275
PMCPMC9034111

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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.