Evidence map›Paper›PMID 29228729›Full record

ArticleOncotarget2017

Development and validation of a model for staging hepatic fibrosis for chronic hepatitis B patients with E antigen-positive.

Hong Wang, Ying Zhou, Rong Yan, Guo Qing Ru, Li Li Yu, Ming Shan Wang, Mei Juan Chen

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. 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
–field-weighted citation impact, top 81% 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, 3 citations in OpenAlex.

  1. Article
4 · The record

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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 1 country.

Hong WangDepartment of Infectious Diseases, Zhejiang Provincial People's Hospital, Zhejiang, People's Hospital of Hangzhou Medical College, Zhejiang, China.
Ying ZhouDepartment of Infectious Diseases, Zhejiang Provincial People's Hospital, Zhejiang, People's Hospital of Hangzhou Medical College, Zhejiang, China.
Rong YanDepartment of Infectious Diseases, Zhejiang Provincial People's Hospital, Zhejiang, People's Hospital of Hangzhou Medical College, Zhejiang, China.
Guo Qing RuDepartment of Pathology, Zhejiang Provincial People's Hospital, Zhejiang, People's Hospital of Hangzhou Medical College, Zhejiang, China.
Li Li YuDepartment of Pathology, Zhejiang Provincial People's Hospital, Zhejiang, People's Hospital of Hangzhou Medical College, Zhejiang, China.
Ming Shan WangDepartment of Infectious Diseases, Zhejiang Provincial People's Hospital, Zhejiang, People's Hospital of Hangzhou Medical College, Zhejiang, China.
Mei Juan ChenDepartment of Infectious Diseases, Zhejiang Provincial People's Hospital, Zhejiang, People's Hospital of Hangzhou Medical College, Zhejiang, China.
Hangzhou Medical College · CNZhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterest is growing in the use of non-invasive techniques for complementing liver biopsy for liver fibrosis assessment. We aimed to prospectively evaluate liver histology in chronic hepatitis B (CHB) patients with e-antigen positivity, and develop and validate a novel scoring system-e-antigen-positive CHB liver fibrosis (EPLF) score-for noninvasively predicting the fibrosis stages.

methodsWe identified the baseline variables associated with fibrosis stage (MATAVIR score, F0-F4) in 212 CHB patients with e-antigen positivity. These significant variables were used to develop the EPLF scoring system. The EPLF score equation was developed based on the prediction of fibrosis stages via multivariate ordered logistic regression analysis. The diagnostic powers of the EPLF score and several non-invasive markers were assessed through an area under the receiver operating characteristic curve (AUROC) analyses. This EPLF score model was validated in another set of 208 similar patients.

resultsThe natural logarithms of serum albumin, HBeAg, and HBsAg levels were selected as significant independent variables for the EPLF score equation. The EPLF score had good diagnostic power (AUROC, 0.72-0.90, p<0.001) and good diagnostic accuracy (72-85%), with a high positive predictive value (80.8-92.8%) for each fibrosis stage in the test group. Similar results were observed in the validation group (AUROC, 0.73-0.89, p<0.001). The EPLF score exhibited a strong correlation with fibrosis stage (r=0.67, p<0.001), and was the preferable non-invasive marker for staging liver fibrosis.

conclusionIn e-antigen-positive patients with CHB, the EPLF score could serve as a potential non-invasive marker of liver fibrosis stage.

Indexed as

E antigen positivehepatitis B virusliver biopsyliver fibrosisnon-invasive fibrosis marker

Identifiers

PMID29228729
PMCPMC5716769
OpenAlexW2766648297

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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.