Evidence map›Paper›PMID 39884988›Full record

ArticleEuropean radiology2025

Predictive value of temporal muscle thickness for prognosis in newly diagnosed IDH wild-type glioblastoma patients: evaluated for a Chinese population.

Boya Zha, Yajing Ma, Boqun Zha, Xinbin Guo

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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1 citing paper in PubMed, 1 synthesis or guideline pooled it.

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5 · Who and what money

Authors and funding

4 authors.

Boya Zha *Department of Radiotherapy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yajing Ma *Department of Neurointervention, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Boqun ZhaXinxiang Medical University, Xinxiang, China.
Xinbin GuoDepartment of Neurointervention, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. gxb3906080@sina.com.ORCID http://orcid.org/0000-0002-7222-229X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to investigate the prognostic value of Temporal Muscle Thickness (TMT) in Chinese patients with newly diagnosed isocitrate dehydrogenase (IDH) wild-type glioblastoma.

methodsData were retrospectively collected from patients with isocitrate dehydrogenase wild-type genotype glioblastoma, who underwent surgical treatment and concurrent chemoradiotherapy at our center between May 2019 and May 2023. Multi-model and multivariate Cox regression were used to examine factors associated with overall and progression-free survival. Subgroup analysis and sensitivity tests were performed to verify the robustness of the results. Restricted cubic spline regression was used to explore the possible nonlinear relationship between TMT and OS/PFS.

resultsA total of 344 patients were enrolled in this study. The main analysis showed that TMT was positively correlated with overall survival and progression-free survival. The results of multivariate Cox regression after segmentation according to the optimal cutoff value showed that age ≥ 60 years (HR = 1.47, 95% CI: 1.14-1.90, p = 0.003), diabetes (HR = 1.95, 95% CI: 1.26-3.04, p = 0.003) were the risk factors for death. However, TMT ≥ 8.425 mm (HR = 0.45, 95% CI: 0.36-0.57, p < 0.001), Karnofsky ≥ 70 (HR = 0.76, 95% CI: 0.59-0.97, p < 0.031) were associated with a lower risk of death. Age ≥ 60 years (HR = 1.33, 95% CI: 1.03-1.71, p = 0.028) was a risk factor for recurrence, Karnofsky ≥ 70 (HR = 0.76, 95% CI: 0.59-0.97, p = 0.027), TMT ≥ 8.4 mm (HR = 0.64, 95% CI: 0.50-0.80, p < 0.001), and combination of targeted therapy (HR = 0.65, 95% CI: 0.47-0.90, p = 0.01) reduced recurrence risk.

conclusionTMT is an independent predictor of OS and PFS in IDH wild-type GBM patients and can be used to predict prognosis in clinical practice. KEY POINTS: Question Performance status of glioblastoma patients is crucial for treatment decision-making and prognosis assessment; however, there is currently no objective evaluation metric for the Chinese population. Findings Temporal muscle thickness at initial diagnosis is positively correlated with overall survival and progression-free survival in Chinese patients with newly diagnosed IDH wild-type glioblastoma. Clinical relevance Temporal muscle thickness at initial diagnosis is an independent, objective prognostic factor for newly diagnosed IDH wild-type glioblastoma patients in China. It contributes to the formulation of individualized treatment plans and serves as a stratification factor in clinical trials.

Indexed as

Brain NeoplasmsGlioblastomaIsocitrate DehydrogenaseAdultAgedChinaEast Asian PeopleFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesIsocitrate DehydrogenaseConcurrent chemoradiotherapyGlioblastomaSkeletal muscle qualitySurvival predictionTemporal muscle thickness

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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.