Evidence map›Paper›PMID 32502018›Full record

ArticleMedicine2020

Comparison and evaluation of non-invasive models in predicting liver inflammation and fibrosis of chronic hepatitis B virus-infected patients with high hepatitis B virus DNA and normal or mildly elevated alanine transaminase levels.

Lingmei Wang, Jiao Li, Kai Yang, Hao Zhang, Qin Wang, Xiongwen Lv, Shihe Guan

Open access · goldAbstract readComparative Study
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Lingmei WangDepartment of Clinical Laboratory, The Second Hospital of Anhui Medical University.ORCID 0000-0001-6240-3938
Jiao LiDepartment of Clinical Laboratory, The Second Hospital of Anhui Medical University.
Kai YangDepartment of Clinical Laboratory, The Second Hospital of Anhui Medical University.
Hao ZhangDepartment of Clinical Laboratory, The Second Hospital of Anhui Medical University.
Qin WangDepartment of Clinical Laboratory, The Second Hospital of Anhui Medical University.
Xiongwen LvThe Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, School of Pharmacy, Institute for Liver Disease of Anhui Medical University, Hefei, China.
Shihe GuanDepartment of Clinical Laboratory, The Second Hospital of Anhui Medical University.ORCID 0000-0003-4014-3893
Anhui Medical University · CNMinistry of Education · KN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have paid attention to the performances of non-invasive models in diagnosing stages of liver fibrosis and inflammation, which are critical for early and accurate assessment of prognostication and decisions on antiviral treatment in chronic hepatitis B infection patients with high hepatitis B virus DNA and normal or mildly elevated alanine transaminase levels (≤2 times upper limit of normal (ULN)). This study aimed to investigate the value of routine serum markers in evaluation of liver inflammation and fibrosis in these patients.A total of 370 consecutive chronic hepatitis B virus-infected patients who underwent liver biopsy were retrospectively analyzed. The Scheuer scoring system was adopted as the pathological standard for diagnosing liver inflammation and fibrosis. The receiver-operating characteristic curves (ROC) and the area under the ROC curves (AUROCs) were used to analyze the performances of the models, including aspartate transaminase to platelet ratio index (APRI), fibrosis index based on the 4 factors (FIB-4), red cell volume distribution width-to-platelet ratio (RPR), globulin-platelet model (GP), and gamma-glutamyl transpeptidase to platelet ratio index (GPR).To predict significant inflammation (G ≥2), the AUROC of APRI was higher than that of FIB-4 (0.705 vs 0.629, P = .001), RPR (0.705 vs 0.593, P < .001) and GP (0.705 vs 0.620, P = .002), equivalent to that of GPR (0.705 vs 0.690, P = .606). As for severe inflammation (≥G3) and significant fibrosis (≥S2), there was no statistic difference among them. To predict severe fibrosis (≥ S3), the AUROC of FIB-4 was higher than that of RPR (0.805 vs 0.750, P = .006) and GP (0.805 vs 0.755, P = .046), comparable to that of APRI (0.805 vs 0.785, P = .550) and GPR (0.805 vs 0.818, P = .694). As for significant liver histological changes (G ≥ 2 or/and S ≥ 2), the performance of APRI was higher than that of RPR (0.717 vs 0.652, P = .006), GP (0.717 vs 0.659, p = .011), equivalent to that of FIB-4 (0.717 vs 0.692, P = .254) and GPR (0.717 vs 0.680, P = .166).We found that APRI, GPR, and FIB-4 were more effective than RPR and GP for diagnosing liver inflammation and fibrosis.

Indexed as

AdultAlanine TransaminaseDNA, ViralErythrocyte VolumeFemalegamma-GlutamyltransferaseGlobulinsHepatitis B, ChronicHepatitis B virusHumansInflammationLiver CirrhosisMalePlatelet CountRetrospective StudiesSeverity of Illness IndexAlanine TransaminaseDNA, Viralgamma-GlutamyltransferaseGlobulins

Identifiers

PMID32502018
PMCPMC7306294
OpenAlexW3033049262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.