Evidence map›Paper›PMID 38084569›Full record

ReviewAnaesthesiology intensive therapy2023

Computed tomography measured epicardial adipose tissue and psoas muscle attenuation: new biomarkers to predict major adverse cardiac events and mortality in patients with heart disease and critically ill patients. Part II: Psoas muscle area and density.

Jeroen Walpot, Paul Van Herck, Caroline M Van de Heyning, Johan Bosmans, Samia Massalha, João R Inácio, Hein Heidbuchel, Manu L Malbrain

Open access · diamondAbstract readReview
In one paragraph

Review in Anaesthesiology intensive therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Ultrasound evaluation of epicardial fat andFrontiers in endocrinology · 2025
    Article
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

8 authors at 5 institutions in 4 countries.

Jeroen WalpotZorgsaam Hospital, Netherlands.
Paul Van HerckDepartment of Cardiology, University Hospital Antwerp, Antwerp, Belgium.
Caroline M Van de HeyningDepartment of Cardiology, University Hospital Antwerp, Antwerp, Belgium.
Johan BosmansDepartment of Cardiology, University Hospital Antwerp, Antwerp, Belgium.
Samia MassalhaRambam Health Campus, Haifa, Israel.
João R InácioCentro Hospitalar Universitário Lisboa Norte/ Hospital de Santa Maria, Lisbon, Portugal.
Hein HeidbuchelDepartment of Cardiology, University Hospital Antwerp, Antwerp, Belgium.
Manu L MalbrainInternational Fluid Academy, Lovenjoel, Belgium.
University of Antwerp · BEAntwerp University Hospital · BEHospital de Santa Maria · PTMedical University of Lublin · PLRambam Health Care Campus · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia is a syndrome characterised by loss of skeletal muscle mass, loss of muscle quality, and reduced muscle strength, resulting in low performance. Sarcopenia has been associated with increased mortality and complications after medical interventions. In daily clinical practice, sarcopenia is assessed by clinical assessment of muscle strength and performance tests and muscle mass quantification by dual-energy X-ray absorptio-metry (DXA) or bioelectrical impedance analysis (BIA). Assessment of the skeletal muscle quantity and quality obtained by abdominal computed tomography (CT) has gained interest in the medical community, as abdominal CT is performed for various medical reasons, and quantification of the psoas and skeletal muscle can be performed without additional radiation load and dye administration. The definitions of CT-derived skeletal muscle mass quantification are briefly reviewed: psoas muscle area (PMA), skeletal muscle area (SMA), and transverse psoas muscle thickness (TPMT). We explain how CT attenuation coefficient filters are used to determine PMA and SMA, resulting in the psoas muscle index (PMI) and skeletal muscle index (SMI), respectively, after indexation to body habitus. Psoas muscle density (PMD), a biomarker for skeletal muscle quality, can be assessed by measuring the psoas muscle CT attenuation coefficient, expressed in Hounsfield units. The concept of low-density muscle (LDM) is explained. Finally, we review the medical literature on PMI and PMD as predictors of adverse outcomes in patients undergoing trauma or elective major surgery, transplantation, and in patients with cardiovascular and internal disease. PMI and PMD are promising new biomarkers predicting adverse outcomes after medical interventions.

Indexed as

Heart DiseasesSarcopeniaBiomarkersCritical IllnessHumansPsoas MusclesRetrospective StudiesTomography, X-Ray ComputedBiomarkersbiomarkerscomputed tomographymajor acute cardiovascular events (MACE)postoperative clinical outcomespsoas muscle area (PMA)psoas muscle density (PMD)sarcopenia

Identifiers

PMID38084569
PMCPMC10691466
OpenAlexW4389050939

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.