Evidence map›Paper›PMID 37086078›Full record

ArticleThe British journal of radiology2023

Adipopenia in body composition analysis: a promising imaging biomarker and potential predictive factor for patients undergoing transjugular intrahepatic portosystemic shunt placement.

Georgios Luca Alatzides, Johannes Haubold, Hannah Luisa Steinberg, Sven Koitka, Vicky Parmar, Johannes Grueneisen, Amos Cornelius Zeller, Hartmut Schmidt, Jens Matthias Theysohn, Yan Li and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

12 authors at 1 institution in 1 country.

Georgios Luca AlatzidesInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr, Essen, Germany.ORCID 0000-0002-6928-7324
Johannes HauboldInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr, Essen, Germany.
Hannah Luisa SteinbergInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr, Essen, Germany.
Sven KoitkaInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr, Essen, Germany.
Vicky ParmarInstitute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Hufelandstr, Germany.
Johannes GrueneisenInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr, Essen, Germany.
Amos Cornelius ZellerDepartment of Gastroenterology and Hepatology, University Hospital Essen, Hufelandstr, Essen, Germany.
Hartmut SchmidtDepartment of Gastroenterology and Hepatology, University Hospital Essen, Hufelandstr, Essen, Germany.
Jens Matthias TheysohnInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr, Essen, Germany.
Yan LiInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr, Essen, Germany.
Felix NensaInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr, Essen, Germany.
Benedikt Michael SchaarschmidtInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr, Essen, Germany.
Essen University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBody tissue composition plays a crucial role in the multisystemic processes of advanced liver disease and has been shown to be influenced by transjugular intrahepatic portosystemic shunt (TIPS). A differentiated analysis of the various tissue compartments has not been performed until now. The purpose of this study was to evaluate the value of imaging biomarkers derived from automated body composition analysis (BCA) to predict clinical and functional outcome.

methodsA retrospective analysis of 56 patients undergoing TIPS procedure between 2013 and 2021 was performed. BCA on the base of pre-interventional CT examination was used to determine quantitative data as well as ratios of bone, muscle and fat masses. Furthermore, a BCA-derived sarcopenia marker was investigated. Regarding potential correlations between BCA imaging biomarkers and the occurrence of hepatic encephalopathy (HE) as well as 1-year survival, an exploratory analysis was conducted.

resultsNo BCA imaging biomarker was associated with the occurrence of HE after TIPS placement. However, there were significant differences in alive and deceased patients regarding the BCA-derived sarcopenia marker (alive: 1.60, deceased: 1.83,

conclusionA lower amount of intra- and intermuscular adipose tissue might have protective effects regarding liver derived complications and survival. ADVANCES IN KNOWLEDGE: Precise characterization of body tissue components with automated BCA might provide prognostic information in patients with advanced liver disease undergoing TIPS procedure.

Indexed as

Hepatic EncephalopathyPortasystemic Shunt, Transjugular IntrahepaticSarcopeniaBiomarkersBody CompositionHumansLiver CirrhosisRetrospective StudiesTreatment OutcomeBiomarkers

Identifiers

PMID37086078
PMCPMC10230376
OpenAlexW4366742773

What OpenQuestion 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 OpenQuestion graph.