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Temporal muscle thickness as an independent prognostic marker in glioblastoma patients—a systematic review and meta-analysis

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Abstract

Glioblastoma is the most common primary malignant brain tumor in the adult population. It causes the patient to incur a great deal of malady. Even with the advances in management and the Stupp protocol in place, the prognosis remains grim. There are various parameters to evaluate patients’ performance status and frailty pre-operatively, but these are mostly subjective and thus suffer from inter-observer variability. Assessment of sarcopenia serves as an objective parameter to assess the patient’s performance status pre-operatively. Temporalis muscle thickness serves as a surrogate to assess sarcopenia in patients with glioblastoma. We conducted a literature review and meta-analysis to determine the prognostic implications of temporalis muscle thickness in 3283 patients with primary glioblastoma. The pooled overall survival hazard’s ratio of thick versus thin TMT was 0.54. The pooled progression-free survival hazard’s ratio of thick versus thin TMT was 0.38. Thus, the main finding of this study is that thicker temporal muscle is associated with better OS and PFS as compared to thinner temporal muscle. We thus conclude that TMT is a viable surrogate for predicting sarcopenia and survival in primary glioblastoma. TMT measurement is extremely easy and can be incorporated as a part of the routine neurosurgical workflow in these patients. Survival prediction will help inform treatment decisions in glioblastoma patients having poor prognosis, at the initial diagnosis itself.

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Authors and Affiliations

  1. Department of Neurosurgery, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India

    Nidhisha Sadhwani & Kanwaljeet Garg

  2. Department of Radiodiagnosis, VMMC and Safdarjung Hospital, New Delhi, India

    Ankita Aggarwal & Ayushi Mishra

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  1. Nidhisha Sadhwani
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  2. Ankita Aggarwal
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  4. Kanwaljeet Garg
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Contributions

Dr. Nidhisha Sadhwani: data curation, writing manuscript, and approved final draft.

Dr. Ankita Aggarwal: data curation, writing manuscript, and approved final draft

Dr. Ayushi Mishra: data curation and approved final draft

Dr. Kanwaljeet Garg: conceptualization, data curation, analysis, writing manuscript, and approved final draft

Corresponding author

Correspondence to Kanwaljeet Garg.

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Sadhwani, N., Aggarwal, A., Mishra, A. et al. Temporal muscle thickness as an independent prognostic marker in glioblastoma patients—a systematic review and meta-analysis. Neurosurg Rev 45, 3619–3628 (2022). https://doi.org/10.1007/s10143-022-01892-3

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