Evidence map›Paper›PMID 35550032›Full record

ArticleBMC medical imaging2022

The severity of portal hypertension by a non-invasive assessment: acoustic structure quantification analysis of liver parenchyma.

Wen-Bin Cai, Ji-Kai Yin, Qiao-Ying Li, Yi-Lin Yang, Yun-You Duan, Li Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 1 country.

Wen-Bin Cai *Department of Ultrasound Diagnosis, Tangdu Hospital, The Fourth Military Medical University, Xin Si Road, Ba Qiao District, Xi'an, China.
Ji-Kai Yin *Department of General Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Qiao-Ying LiDepartment of Ultrasound Diagnosis, Tangdu Hospital, The Fourth Military Medical University, Xin Si Road, Ba Qiao District, Xi'an, China.
Yi-Lin YangDepartment of Ultrasound Diagnosis, Tangdu Hospital, The Fourth Military Medical University, Xin Si Road, Ba Qiao District, Xi'an, China.
Yun-You DuanDepartment of Ultrasound Diagnosis, Tangdu Hospital, The Fourth Military Medical University, Xin Si Road, Ba Qiao District, Xi'an, China.
Li ZhangDepartment of Ultrasound Diagnosis, Tangdu Hospital, The Fourth Military Medical University, Xin Si Road, Ba Qiao District, Xi'an, China. lilyzhang319_20@hotmail.com.
Air Force Medical University · CNTang Du Hospital · CNTibet Autonomous Region People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcoustic structure quantification (ASQ) has been applied to evaluate liver histologic changes by analyzing the speckle pattern seen on B-mode ultrasound. We aimed to assess the severity of portal hypertension (PHT) through hepatic ultrasonography.

methodsSixty patients diagnosed with PHT and underwent surgical treatment with portosystemic shunts were enrolled. Portal pressure (PP) was measured intraoperatively. Patients were divided into subgroups according to the severity of gastroesophageal varices and Child-Pugh class. Three difference ratio (C

resultsIn the patients, the ASQ parameters peak C

conclusionsASQ analysis of ultrasonographic images may have a role in the evaluation of the severity of PHT by detecting liver histologic changes in the speckle pattern caused by cirrhosis.

Indexed as

Esophageal and Gastric VaricesHypertension, PortalVaricose VeinsAcousticsHumansLiverLiver CirrhosisAcousticGastroesophageal varicesNoninvasivePortal hypertensionUltrasound

Identifiers

PMID35550032
PMCPMC9097305
OpenAlexW4280538595

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.