Evidence map›Paper›PMID 35045646›Full record

ReviewZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2021

[Research progress of cirrhotic portal hypertension in diagnostic imaging methods].

J K Li, H L Huang, Y H Zhu, J Q Lei

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2021. 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
–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

1 citing paper in PubMed.

  1. 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

4 authors.

J K LiDepartment of Radiology, the First Hospital of Lanzhou University & Intelligent Imaging Medical Engineering Research Center of Gansu Province & Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Lanzhou 73000, China.
H L HuangDepartment of Radiology, the First Hospital of Lanzhou University & Intelligent Imaging Medical Engineering Research Center of Gansu Province & Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Lanzhou 73000, China.
Y H ZhuDepartment of Radiology, the First Hospital of Lanzhou University & Intelligent Imaging Medical Engineering Research Center of Gansu Province & Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Lanzhou 73000, China.
J Q LeiDepartment of Radiology, the First Hospital of Lanzhou University & Intelligent Imaging Medical Engineering Research Center of Gansu Province & Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Lanzhou 73000, China.

Funding

Youth Foundation of the First Hospital of Lanzhou University ldyyyn2018-12
6 · The paper itself

Abstract

Hepatic venous pressure gradient measurement via jugular vein catheterization is still currently the gold standard for evaluating portal hypertension. However, how to accurately and reproducibly assess whether there is portal hypertension has always been a concern in patients with liver cirrhosis. In recent years, imaging methods have made significant progress in the non-invasive diagnosis of portal hypertension. This paper reviews the current different diagnostic value of imaging methods and related research progress in an attempt to evaluate patients with cirrhotic portal hypertension.

Indexed as

Hypertension, PortalDiagnostic ImagingHumansLiver CirrhosisPortal PressureLiver cirrhosisMedical imaging technologyNon-invasive diagnosisPortal hypertension

Identifiers

PMID35045646
PMCPMC12814303

What OpenQuestion holds

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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.