Evidence map›Paper›PMID 38576750›Full record

ArticleWorld journal of transplantation2024

Improving the radiological diagnosis of hepatic artery thrombosis after liver transplantation: Current approaches and future challenges.

Cristian Lindner, Raúl Riquelme, Rodrigo San Martín, Frank Quezada, Jorge Valenzuela, Juan P Maureira, Martín Einersen

Open access · diamondAbstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of transplantation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Observational
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

7 authors at 1 institution in 1 country.

Cristian LindnerDepartment of Radiology, Faculty of Medicine, University of Concepción, Concepción 4030000, Chile.
Raúl RiquelmeDepartment of Radiology, Faculty of Medicine, University of Concepción, Concepción 4030000, Chile.
Rodrigo San MartínDepartment of Radiology, Faculty of Medicine, University of Concepción, Concepción 4030000, Chile.
Frank QuezadaDepartment of Radiology, Faculty of Medicine, University of Concepción, Concepción 4030000, Chile.
Jorge ValenzuelaDepartment of Radiology, Faculty of Medicine, University of Concepción, Concepción 4030000, Chile.
Juan P MaureiraDepartment of Statistics, Catholic University of Maule, Talca 3460000, Chile.
Martín EinersenDepartment of Radiology, Faculty of Medicine, University of Concepción, Concepción 4030000, Chile.
University of Concepción · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic artery thrombosis (HAT) is a devastating vascular complication following liver transplantation, requiring prompt diagnosis and rapid revascularization treatment to prevent graft loss. At present, imaging modalities such as ultrasound, computed tomography, and magnetic resonance play crucial roles in diagnosing HAT. Although imaging techniques have improved sensitivity and specificity for HAT diagnosis, they have limitations that hinder the timely diagnosis of this complication. In this sense, the emergence of artificial intelligence (AI) presents a transformative opportunity to address these diagnostic limitations. The develo pment of machine learning algorithms and deep neural networks has demon strated the potential to enhance the precision diagnosis of liver transplant com plications, enabling quicker and more accurate detection of HAT. This article examines the current landscape of imaging diagnostic techniques for HAT and explores the emerging role of AI in addressing future challenges in the diagnosis of HAT after liver transplant.

Indexed as

Artificial intelligenceHepatic arteryLiver transplantationPostoperative complicationsRadiologyThrom bosis

Identifiers

PMID38576750
PMCPMC10989478
OpenAlexW4392869600

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.