Evidence map›Paper›PMID 32836216›Full record

ArticleAging2020

Controlled attenuation parameter value-based diagnostic algorithm improves the accuracy of liver stiffness measurement in chronic hepatitis B patients.

Yaoxin Fan, Lin Wang, Yang Ding, Qiuju Sheng, Chong Zhang, Yanwei Li, Chao Han, Xiaoguang Dou

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. 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
0.4field-weighted citation impact, top 34% 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, 5 citations in OpenAlex.

  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

8 authors at 1 institution in 1 country.

Yaoxin FanDepartment of Infectious Diseases, Shengjing Hospital of China Medical University, Shenyang Liaoning Province, China.
Lin WangDepartment of Health Management, Shengjing Hospital of China Medical University, Shenyang Liaoning Province, China.
Yang DingDepartment of Infectious Diseases, Shengjing Hospital of China Medical University, Shenyang Liaoning Province, China.
Qiuju ShengDepartment of Infectious Diseases, Shengjing Hospital of China Medical University, Shenyang Liaoning Province, China.
Chong ZhangDepartment of Infectious Diseases, Shengjing Hospital of China Medical University, Shenyang Liaoning Province, China.
Yanwei LiDepartment of Infectious Diseases, Shengjing Hospital of China Medical University, Shenyang Liaoning Province, China.
Chao HanDepartment of Infectious Diseases, Shengjing Hospital of China Medical University, Shenyang Liaoning Province, China.
Xiaoguang DouDepartment of Infectious Diseases, Shengjing Hospital of China Medical University, Shenyang Liaoning Province, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver stiffness measurement (LSM) frequently overestimates the severity of liver fibrosis because of steatosis. However, the impact of the controlled attenuation parameter (CAP) on liver stiffness cutoff values remains unknown; CAP was used to quantify and diagnose the severity of hepatic steatosis. The study was conducted to determine the effect of CAP on liver stiffness cutoff values in chronic hepatitis B (CHB) patients. A retrospective cross-sectional study was performed in liver biopsy-proven CHB patients. The median LSM (kPa) in the elevated CAP group was higher than that in the normal CAP group at the same fibrosis stage. For S2-4, the area under the receiver operating characteristic (AUROC) curve of LSM was 0.78 and 0.72 in the normal and elevated CAP groups, respectively. When a cutoff value of 8.9 kPa was used, the diagnostic accuracy was 77.82% and 63.41% in the normal and elevated CAP groups, respectively. Compared with the alanine transaminase (ALT)-based LSM algorithm, the CAP-based LSM algorithm had a similar correct diagnosis rate (33.64% vs. 33.94%, respectively) but a lower misdiagnosis rate (16.97% vs. 20.30%, respectively). The new CAP-based LSM diagnostic algorithm will improve the diagnostic accuracy of liver fibrosis in CHB patients.

Indexed as

AlgorithmsElasticity Imaging TechniquesImage Interpretation, Computer-AssistedAdultBiopsyCross-Sectional StudiesFemaleHepatitis B, ChronicHumansLiverLiver CirrhosisMalePredictive Value of TestsReproducibility of ResultsRetrospective StudiesSeverity of Illness Indexchronic hepatitis Bcontrolled attenuation parameterdiagnostic algorithmliver fibrosis measurement

Identifiers

PMID32836216
PMCPMC7485708
OpenAlexW3080336353

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.