Evidence map›Paper›PMID 35456024›Full record

ArticleCells2022

Skeletal Muscle Pathological Fat Infiltration (Myosteatosis) Is Associated with Higher Mortality in Patients with Cirrhosis.

Maryam Ebadi, Cynthia Tsien, Rahima A Bhanji, Abha R Dunichand-Hoedl, Elora Rider, Maryam Motamedrad, Vera C Mazurak, Vickie Baracos, Aldo J Montano-Loza

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06593015 (Study Protocol to Redefine Muscle Attenuation Cut-offs for Better Prediction of Mortality in Patients With Cirrhosis), which is not on this map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
5.5field-weighted citation impact, top 3% 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.

NCT06593015 completednot on this map

Study Protocol to Redefine Muscle Attenuation Cut-offs for Better Prediction of Mortality in Patients With Cirrhosis: a Comprehensive Post-hoc Validation Study

TypeobservationalSponsorUniversity of Roma La SapienzaRan2019 to 2024Enrolled1,296ConditionsCirrhosis, Myosteatosis, Sarcopenia, Sarcopenia in Liver CirrhosisArmsRadiological tool for the diagnosis of myosteatosis
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Article
  6. Sarcopenia Predicts Mortality and Hepatic Encephalopathy After TIPS in Older Adults With Cirrhosis and Improves Prognostic Scores.Liver international : official journal of the International Association for the Study of the Liver · 2026
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  7. Article
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  9. Review
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  11. Observational
  12. Article
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  15. Biomarkers and Clinical Evaluation in the Detection of Frailty.International journal of molecular sciences · 2025
    Review
  16. Article
  17. Article
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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

9 authors at 2 institutions in 1 country.

Maryam EbadiDivision of Gastroenterology and Liver Unit, University of Alberta, Edmonton, AB T6G 2X8, Canada.
Cynthia TsienAjmera Transplant Program, Department of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.
Rahima A BhanjiDivision of Gastroenterology and Liver Unit, University of Alberta, Edmonton, AB T6G 2X8, Canada.ORCID 0000-0001-9088-8848
Abha R Dunichand-HoedlDivision of Human Nutrition, University of Alberta, Edmonton, AB T6G 2P5, Canada.
Elora RiderDivision of Gastroenterology and Liver Unit, University of Alberta, Edmonton, AB T6G 2X8, Canada.
Maryam MotamedradDivision of Human Nutrition, University of Alberta, Edmonton, AB T6G 2P5, Canada.
Vera C MazurakDivision of Human Nutrition, University of Alberta, Edmonton, AB T6G 2P5, Canada.
Vickie BaracosDepartment of Oncology, Cross Cancer Institute, Edmonton, AB T6G 1Z2, Canada.
Aldo J Montano-LozaDivision of Gastroenterology and Liver Unit, University of Alberta, Edmonton, AB T6G 2X8, Canada.ORCID 0000-0002-2511-7980
University of Alberta · CAUniversity of Toronto · CA

Funding

CIHR
6 · The paper itself

Abstract

Myosteatosis (pathological fat accumulation in muscle) is defined by lower mean skeletal muscle radiodensity in CT. We aimed to determine the optimal cut-offs for myosteatosis in a cohort of 855 patients with cirrhosis. CT images were used to determine the skeletal muscle radiodensity expressed as Hounsfield Unit (HU). Patients with muscle radiodensity values below the lowest tertile were considered to have myosteatosis. Competing-risk analysis was performed to determine associations between muscle radiodensity and pre-transplant mortality. Muscle radiodensity less than 33 and 28 HU in males and females, respectively, were used as cut-offs to identify myosteatosis. In the univariate analysis, cirrhosis etiology, MELD score, refractory ascites, variceal bleeding, hepatic encephalopathy, sarcopenia and myosteatosis were predictors of mortality. Myosteatosis association with mortality remained significant after adjusting for confounding factors (sHR 1.47, 95% CI 1.17−1.84, p = 0.001). Patients with concurrent presence of myosteatosis and sarcopenia constituted 17% of the patient population. The cumulative incidence of mortality was the highest in patients with concomitant sarcopenia and myosteatosis (sHR 2.22, 95% CI 1.64−3.00, p < 0.001). In conclusion, myosteatosis is common in patients with cirrhosis and is associated with increased mortality. The concomitant presence of myosteatosis and sarcopenia is associated with worse outcomes.

Indexed as

Esophageal and Gastric VaricesSarcopeniaFemaleGastrointestinal HemorrhageHumansLiver CirrhosisMaleMuscle, SkeletalTomography, X-Ray Computedcomputed tomographymuscle qualitymuscle radiodensityradiation attenuationsurvival

Identifiers

PMID35456024
PMCPMC9030863
OpenAlexW4224104772

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.