Evidence map›Paper›PMID 31374014›Full record

ArticleMedicine2019

Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification.

Lei Cheng, Yongan Chen, Rui Xiao, Yan Pan, Jia Guo

Abstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Lei ChengDepartment of Echocardiography, Huashan Hospital, Fudan University.
Yongan ChenDepartment of Oncology, The 455th Hospital of Chinese People's Liberation Army, Shanghai, China.
Rui XiaoDepartment of Anesthesiology, Columbia University Medical Center, New York, NY.
Yan PanDepartment of Ultrasound, Yu Huang Ding Hospital, Yan Tai.
Jia GuoDepartment of Ultrasound, Eastern Hepatobilary Surgery Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the diagnostic accuracy of ultrasonic acoustic structure quantification (ASQ) for grading hepatic fibrosis/cirrhosis by comparing ultrasonographic features of regions of interest on ASQ images with the pathological characteristics of stage F0-F4 hepatic fibrosis cases.We retrospectively analyzed the medical records of 97 patients with chronic hepatitis who underwent ASQ evaluation at the Ultrasound Room of Dongfang Hepatobiliary Surgery Hospital (Shanghai, China) between July 2012 and October 2013. Regions of interest on stored ASQ images were analyzed to obtain cm values on modes, averages, and standard deviations. Correlation analysis, principal component analysis (PCA), and multivariate analysis of variance (MANOVA) of the mean cm values with hepatic fibrosis staging were performed. A receiver operating characteristic (ROC) curve was used to assess the diagnostic accuracy of ASQ.The mean cm of ASQ correlated with the pathological stage of hepatic fibrosis, with the best correlation coefficient (r = 0.81) in the right lobe below rib 2. The best cm average 1 and 2 values, which differed significantly among different hepatic fibrosis/cirrhosis stages, were also found in this area. The maximal area under the ROC curve (0.969) was for cmaverage 1 for the F0 versus F1 to F4 group, with a low criterion (110), while the maximal criterion (145) was for cm average 2 for the F0-F3 versus F4 group, with a relatively small AUC (0.882).With objective and accurate results, ASQ analysis is a promising non-invasive method for grading hepatic fibrosis, although this should be verified in further studies.

Indexed as

AdolescentAdultAgedAnalysis of VarianceChinaFemaleHumansLiver CirrhosisMaleMiddle AgedNeuroma, AcousticRetrospective StudiesUltrasonography

Identifiers

PMID31374014
PMCPMC6708933

What OpenQuestion holds

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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.