Evidence map›Paper›PMID 40044498›Full record

ReviewGut2025

Vasomics of the liver.

Chengyan Wang, Eric Felli, Jonathan Andrew Fallowfield, Christoph Frank Dietrich, Don Rockey, Jürgen Hennig, Gao-Jun Teng, Jordi Gracia-Sancho, Xiaolong Qi

Abstract readReview
In one paragraph

Review in Gut, 2025. 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
–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

8 citing papers in PubMed.

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

9 authors.

Chengyan WangState Key Laboratory of Digital Medical Engineering, Department of Radiology, Zhongda Hospital, Southeast University, Nanjing, China.ORCID 0000-0002-8890-4973
Eric FelliDepartment of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Jonathan Andrew FallowfieldCentre for Inflammation Research, Univeristy of Edinburgh, Edinburgh, UK.ORCID 0000-0002-5741-1471
Christoph Frank DietrichDepartment for General Internal Medicine DAIM at Hirslanden in Bern, Bern, Switzerland.
Don RockeyDigestive Disease Research Center, Medical University of South Carolina, Charleston, South Carolina, USA.ORCID 0000-0002-3751-2961
Jürgen HennigDepartment of Radiology, Medical Center, University of Freiburg, Freiburg im Breisgau, Baden-Württemberg, Germany.
Gao-Jun TengCenter of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Southeast University, Nanjing, China.ORCID 0000-0003-1145-0798
Jordi Gracia-SanchoDepartment of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0001-7736-4089
Xiaolong QiState Key Laboratory of Digital Medical Engineering, Department of Radiology, Zhongda Hospital, Southeast University, Nanjing, China qixiaolong@vip.163.com.ORCID 0000-0002-3559-5855

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic liver disease is a cluster of disorders associated with complex haemodynamic alterations, which is characterised by structural and functional disruptions of the intrahepatic and extrahepatic vasculature. 'Vasomics' is an emerging omics discipline that comprehensively analyses and models the vascular system by integrating pathophysiology of disease, biomechanics, medical imaging, computational science and artificial intelligence. Vasomics is further typified by its multidimensional, multiscale and high-throughput nature, which depends on the rapid and robust extraction of well-defined vascular phenotypes with clear clinical and/or biological interpretability. By leveraging multimodality medical imaging techniques, vascular functional assessments, pathological image evaluation, and related computational methods, integrated vasomics provides a deeper understanding of the associations between the vascular system and disease. This in turn reveals the crucial role of the vascular system in disease occurrence, progression and treatment responses, thereby supporting precision medicine approaches. Pathological vascular features have already demonstrated their key role in different clinical scenarios. Despite this, vasomics is yet to be widely recognised. Therefore, we furnished a comprehensive definition of vasomics providing a classification of existing hepatic vascular phenotypes into the following categories: anatomical, biomechanical, biochemical, pathophysiological and composite.

Indexed as

LiverLiver DiseasesChronic DiseaseHemodynamicsHumansCIRRHOSISLIVERPORTAL HYPERTENSION

Identifiers

PMID40044498
PMCPMC12229081

What Socratic 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 Socratic graph.