Evidence map›Paper›PMID 36505878›Full record

ArticleFrontiers in oncology2022

Clinic friendly estimation of muscle composition: Preoperative linear segmentation shows overall survival correlated with muscle mass in patients with nonmetastatic renal cell carcinoma.

Benjamin N Schmeusser, Eric Midenberg, Arnold R Palacios, Nikhil Vettikattu, Dattatraya H Patil, Alexandra Medline, Michelle Higgins, Manuel Armas-Phan, Reza Nabavizadeh, Shreyas S Joshi and 5 more

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Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Benjamin N SchmeusserDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Eric MidenbergDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Arnold R PalaciosDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Nikhil VettikattuDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Dattatraya H PatilDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Alexandra MedlineDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Michelle HigginsDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Manuel Armas-PhanDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Reza NabavizadehDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Shreyas S JoshiDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Vikram M NarayanDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Sarah P PsutkaDepartment of Urology, University of Washington, Seattle, WA, United States.
Kenneth OganDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.
Mehmet A BilenDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States.
Viraj A MasterDepartment of Urology, Emory University School of Medicine, Atlanta, GA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Sarcopenia is associated with decreased survival and increased complications in patients with renal cell carcinoma. Readily identifying patients with low muscle composition that may experience worse outcomes or would benefit from preoperative intervention is of clinical interest. Traditional body composition analysis methods are resource intensive; therefore, linear segmentation with routine imaging has been proposed as a clinically practical alternative. This study assesses linear segmentation's prognostic utility in nonmetastatic renal cell carcinoma. Materials and Methods: A single institution retrospective analysis of patients that underwent nephrectomy for nonmetastatic renal cell carcinoma from 2005-2021 was conducted. Linear segmentation of the bilateral psoas/paraspinal muscles was completed on preoperative imaging. Total muscle area and total muscle index associations with overall survival were determined by multivariable analysis. Results: 532 (388 clear cell) patients were analyzed, with median (IQR) total muscle index of 28.6cm Conclusions: Linear segmentation, a clinically feasible technique to assess muscle composition, has prognostic utility in patients with localized renal cell carcinoma, allowing for incorporation of muscle composition analysis into clinical decision-making. Muscle mass determined by linear segmentation was associated with overall survival in patients with nonmetastatic renal cell carcinoma.

Indexed as

linear segmentationmuscle compositionmuscle massnephrectomyrenal cell carcinomasarcopenia

Identifiers

PMID36505878
PMCPMC9732562

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