Evidence map›Paper›PMID 36350492›Full record

SynthesisNeurosurgical review2022

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

Nidhisha Sadhwani, Ankita Aggarwal, Ayushi Mishra, Kanwaljeet Garg

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neurosurgical review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Temporalis muscle biomarkers from routine brain MRI and risk of dementia in two independent cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  7. Evaluation of temporal muscle thickness in subjects with acromegaly: a follow-up study.Therapeutic advances in endocrinology and metabolism · 2026
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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

4 authors at 2 institutions in 1 country.

Nidhisha SadhwaniDepartment of Neurosurgery, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India.
Ankita AggarwalDepartment of Radiodiagnosis, VMMC and Safdarjung Hospital, New Delhi, India.
Ayushi MishraDepartment of Radiodiagnosis, VMMC and Safdarjung Hospital, New Delhi, India.
Kanwaljeet GargDepartment of Neurosurgery, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India. kanwaljeet84@gmail.com.
All India Institute of Medical Sciences · INSafdarjang Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Brain NeoplasmsGlioblastomaSarcopeniaAdultHumansPrognosisTemporal MuscleGlioblastomaPrognosisSarcopeniaTemporal muscle thickness

Identifiers

PMID36350492
OpenAlexW4308638602

What OpenQuestion holds

Textmetadata
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.