Evidence map›Paper›PMID 39791017›Full record

ArticleNeuro-oncology advances

Abdominal myosteatosis measured with computed tomography predicts poor outcomes in patients with glioblastoma.

Farzaneh Rahmani, Garrett Camps, Olesya Mironchuk, Norman Atagu, David H Ballard, Tammie L S Benzinger, Vincent Tze Yang Chow, Sonika Dahiya, John Evans, Shama Jaswal and 11 more

Abstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

21 authors.

Farzaneh RahmaniMallinckrodt Institute of Radiology, Washington University School of Medicine in Saint Louis, St. Louis, Missouri, USA.
Garrett CampsGraduate Medical Education, St. Joseph's Medical Center, Stockton, California, USA.
Olesya MironchukUniversity of Washington School of Medicine, Seattle, Washington, USA.
Norman AtaguRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
David H BallardMallinckrodt Institute of Radiology, Washington University School of Medicine in Saint Louis, St. Louis, Missouri, USA.
Tammie L S BenzingerMallinckrodt Institute of Radiology, Washington University School of Medicine in Saint Louis, St. Louis, Missouri, USA.
Vincent Tze Yang ChowSchool of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada.
Sonika DahiyaDepartment of Pathology, Washington University School of Medicine, Saint Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-5585-0964
John EvansDepartment of Neurosurgery, Washington University School of Medicine, Saint Louis, Missouri, USA.
Shama JaswalDepartment of Radiology, Weill Cornell Medical Center/New York Presbyterian Hospital, New York City, New York, USA.
Sara Hosseinzadeh KassaniMallinckrodt Institute of Radiology, Washington University School of Medicine in Saint Louis, St. Louis, Missouri, USA.
Da MaDepartment of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Muhammad NaeemDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.
Karteek PopuriDepartment of Computer Science, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada.
Cyrus A RajiMallinckrodt Institute of Radiology, Washington University School of Medicine in Saint Louis, St. Louis, Missouri, USA.
Marilyn J SiegelMallinckrodt Institute of Radiology, Washington University School of Medicine in Saint Louis, St. Louis, Missouri, USA.
Yifei XuDepartment of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA.
Jingxia LiuDepartment of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA.
Mirza Faisal BegSchool of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada.
Michael R ChicoineDepartment of Neurosurgery, University of Missouri, Columbia, Missouri, USA.
Joseph E IppolitoDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, Saint Louis, Missouri, USA.ORCID https://orcid.org/0000-0003-1913-5573

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI David G DeNardo · 2001 to 2026
$128.0M
Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Jonathan R Brestoff · 1999 to 2026
$30.2M
NCI NIH HHS P30 CA091842NIDDK NIH HHS P30 DK056341
6 · The paper itself

Abstract

Background: Alterations in cellular metabolism affect cancer survival and can manifest in metrics of body composition. We investigated the effects of various body composition metrics on survival in patients with glioblastoma (GBM). Methods: We retrospectively analyzed patients who had an abdominal and pelvic computed tomography (CT) scan performed within 1 month of diagnosis of GBM (178 participants, 102 males, 76 females, median age: 62.1 years). Volumetric body composition metrics were derived using automated CT segmentation of adipose tissue, skeletal muscle, and aortic calcification from L1 to L5. Univariable and multivariable Cox proportional hazards models were performed separately in males and females using known predictors of GBM overall survival (OS) as covariates. A sex-specific composite score of predisposing and protective factors was constructed using the relative importance of each metric in GBM OS. Results: Higher skeletal muscle volume and lower skeletal muscle fat fraction were associated with better OS in the entire dataset. A robust and independent effect on GBM OS was seen specifically for fraction of inter/intramuscular adipose tissue to total adipose tissue after correction for known survival predictors and comorbidities. Worse OS was observed with increased abdominal aortic calcification volume in both sexes. There was a significant difference in GBM OS among participants stratified into quartiles based on sex-specific composite predisposing and protective scores. Conclusion: The relationship between body composition and GBM OS provides an actionable advancement toward precision medicine in GBM management, as lifestyle and dietary regimens can alter body composition and metabolism and from there GBM survival.

Indexed as

atherosclerosisbody compositioncomputed tomographyGBMmyosteatosisskeletal muscle

Identifiers

PMID39791017
PMCPMC11713020

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.