Evidence map›Paper›PMID 25360742›Full record

ArticlePloS one2014

Liver stiffness measurement-based scoring system for significant inflammation related to chronic hepatitis B.

Mei-Zhu Hong, Ru-Mian Zhang, Guo-Liang Chen, Wen-Qi Huang, Feng Min, Tian Chen, Jin-Chao Xu, Jin-Shui Pan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. MAFLD Criteria May Overlook a Subtype of Patient with Steatohepatitis and Significant Fibrosis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Article
  3. 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

8 authors at 3 institutions in 1 country.

Mei-Zhu HongDepartment of Infectious Diseases, Chenggong Hospital affiliated to Xiamen University (the 174th Hospital of PLA), Xiamen, Fujian, China.
Ru-Mian ZhangHepatology Unit and Department of Infectious Diseases, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, Fujian, China.
Guo-Liang ChenHepatology Unit and Department of Infectious Diseases, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, Fujian, China.
Wen-Qi HuangDepartment of Infectious Diseases, Chenggong Hospital affiliated to Xiamen University (the 174th Hospital of PLA), Xiamen, Fujian, China.
Feng MinDepartment of Infectious Diseases, Chenggong Hospital affiliated to Xiamen University (the 174th Hospital of PLA), Xiamen, Fujian, China.
Tian ChenDepartment of Infectious Diseases, Chenggong Hospital affiliated to Xiamen University (the 174th Hospital of PLA), Xiamen, Fujian, China.
Jin-Chao XuDepartment of Infectious Diseases, Chenggong Hospital affiliated to Xiamen University (the 174th Hospital of PLA), Xiamen, Fujian, China.
Jin-Shui PanDepartment of Gastroenterology, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Xiamen University · CN174th hospital of the People's Liberation Army · CNZhongshan Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLiver biopsy is indispensable because liver stiffness measurement alone cannot provide information on intrahepatic inflammation. However, the presence of fibrosis highly correlates with inflammation. We constructed a noninvasive model to determine significant inflammation in chronic hepatitis B patients by using liver stiffness measurement and serum markers.

methodsThe training set included chronic hepatitis B patients (n = 327), and the validation set included 106 patients; liver biopsies were performed, liver histology was scored, and serum markers were investigated. All patients underwent liver stiffness measurement.

resultsAn inflammation activity scoring system for significant inflammation was constructed. In the training set, the area under the curve, sensitivity, and specificity of the fibrosis-based activity score were 0.964, 91.9%, and 90.8% in the HBeAg(+) patients and 0.978, 85.0%, and 94.0% in the HBeAg(-) patients, respectively. In the validation set, the area under the curve, sensitivity, and specificity of the fibrosis-based activity score were 0.971, 90.5%, and 92.5% in the HBeAg(+) patients and 0.977, 95.2%, and 95.8% in the HBeAg(-) patients. The liver stiffness measurement-based activity score was comparable to that of the fibrosis-based activity score in both HBeAg(+) and HBeAg(-) patients for recognizing significant inflammation (G ≥3).

conclusionsSignificant inflammation can be accurately predicted by this novel method. The liver stiffness measurement-based scoring system can be used without the aid of computers and provides a noninvasive alternative for the prediction of chronic hepatitis B-related significant inflammation.

Indexed as

AdultArea Under CurveBiomechanical PhenomenaFemaleHepatitis B, ChronicHumansInflammationLiverLiver CirrhosisMaleModels, BiologicalReproducibility of ResultsRisk Factors

Identifiers

PMID25360742
PMCPMC4216134
OpenAlexW2088059103

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.