Evidence map›Paper›PMID 38795766›Full record

ArticleJoint bone spine2024

Skeletal muscle mass and quality in gout patients versus non-gout controls: A computed tomography imaging study.

Allyson Covello, Michael Toprover, Cheongeun Oh, Gregoire Leroy, Ada Kumar, Brian LaMoreaux, Michael Mechlin, Theodore R Fields, Michael H Pillinger, Fabio Becce

Abstract read
In one paragraph

Article in Joint bone spine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Allyson CovelloDivision of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, 550 First Avenue, New York, NY, USA; Rheumatology Section, NY Harbor Health Care System, New York Campus, United States Department of Veterans Affairs, 423 E 23rd Street, New York, NY, USA. Electronic address: allyson.covello@nyulangone.org.
Michael ToproverDivision of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, 550 First Avenue, New York, NY, USA; Rheumatology Section, NY Harbor Health Care System, New York Campus, United States Department of Veterans Affairs, 423 E 23rd Street, New York, NY, USA.
Cheongeun OhDivision of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, 550, First Avenue, New York, NY, USA.
Gregoire LeroyDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, University of Lausanne, 46, rue du Bugnon, 1011 Lausanne, Switzerland.
Ada KumarAmgen Inc, 1 Amgen Center Drive, Thousand Oaks, CA 91320, USA.
Brian LaMoreauxAmgen Inc, 1 Amgen Center Drive, Thousand Oaks, CA 91320, USA.
Michael MechlinDivision of Musculoskeletal Radiology, Department of Radiology, New York University Grossman School of Medicine, 550 First Avenue, New York, NY, USA.
Theodore R FieldsDivision of Rheumatology, Hospital for Special Surgery, 535 E 70th Street, New York, NY, USA.
Michael H PillingerDivision of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, 550 First Avenue, New York, NY, USA; Rheumatology Section, NY Harbor Health Care System, New York Campus, United States Department of Veterans Affairs, 423 E 23rd Street, New York, NY, USA.
Fabio BecceDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, University of Lausanne, 46, rue du Bugnon, 1011 Lausanne, Switzerland.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Institutional Career DevelopmentKL2TR001446 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PILLINGER, MICHAEL · 2015 to 2025
$6.7M
NCATS NIH HHS KL2 TR001446NCATS NIH HHS UL1 TR001445
6 · The paper itself

Abstract

objectivePatients with gout are at elevated risk of multiple vascular and metabolic comorbidities. Whether they are also at risk of sarcopenia, which is known to affect patients with other rheumatic diseases, has not been previously assessed. We examined whether patients with gout have decreased lumbar muscle quality and quantity, indicating an association between gout and sarcopenia.

methodsFifty gout subjects and 25 controls, ages 45-80, underwent computed tomography imaging of the lumbosacral spine. We measured muscle quantity (skeletal muscle area [SMA] and index [SMI]) and quality (skeletal muscle radiation attenuation [SMRA] and intermuscular adipose tissue [IMAT] area and index [IMATI]) of the psoas and erector spinae muscles at the L3 level.

resultsSeventy subjects (45 gout and 25 controls) were included in the analysis. Gout subjects had higher BMI, more kidney disease and hypertension, lower exercise frequency, and higher mean serum urate and creatinine vs. controls. Lumbar SMRA was significantly lower in gout subjects vs. controls, indicating reduced muscle quality. Lumbar IMAT area was significantly higher in gout subjects vs. controls, as was lumbar IMATI, indicating increased muscle adiposity. These differences persisted after adjusting for potential confounders. In contrast, there was no significant difference between gout and control groups in lumbar SMA or lumbar SMI, suggesting that muscle quantity may not be routinely affected by the diagnosis of gout.

conclusionsGout patients exhibit decreased lumbar muscle quality compared with controls, consistent with an association between gout and sarcopenia.

Indexed as

GoutMuscle, SkeletalSarcopeniaTomography, X-Ray ComputedAgedAged, 80 and overCase-Control StudiesFemaleHumansLumbar VertebraeMaleMiddle AgedDual-energy computed tomographyGoutLumbar spineMuscle massMuscle qualitySarcopenia

Identifiers

PMID38795766
PMCPMC11446650

What OpenQuestion holds

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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.