Evidence map›Paper›PMID 26398839›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2015

[Clinical significance of high-sensitivity C-reactive protein in development of chronic hepatitis B].

Lina Ma, Xiaoyan Liu, Yanchao Hu, Xia Luo, Yuanyuan Tang, Jinliang Pan, Shuaiwei Liu, Xiangchun Ding

Open access · greenAbstract read
In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2015. 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 76% 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, 1 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.

Lina MaDepartment of Infectious Disease, General Hospital of Ningxia Medical University, Yinchuan 750004, China.
Xiaoyan Liu
Yanchao Hu
Xia Luo
Yuanyuan Tang
Jinliang Pan
Shuaiwei Liu
Xiangchun Ding
Ningxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the clinical significance of high-sensitivity C-reactive protein (hsCRP) in the development of chronic hepatitis B (CHB).

methodsA total of 182 patients with untreated CHB and 50 healthy individuals (controls) participated in the study. Correlation analysis was performed to determine the association of serum hs-CRP with the age,sex,medical history,serum hepatitis B virus (HBV) DNA, liver function parameters,liver stiffness measure (LSM) and hepatic fibrosis; in addition, correlation analysis was carried out for the associations of degree of liver damage with grade of hepatic fibrosis, LSM and the serum levels of hs-CRP.

resultsCHB patients showed significantly higher serum hs-CRP levels than healthy controls (2.38 ± 2.79 vs.0.78 ± 1.07; t =2.495, P < 0.05). Serum hs-CRP levels were significantly correlated with HBV DNA (r = 0.159), liver function parameters (total bilirubin, r = 0.271; alanine aminotransferase, r = 0.298; aspartate aminotransferase, r = 0.389), and LSM, r = 0.562) (all P < 0.05). The correlations with liver function (r = 0.340), LSM (r = 0.292) and hepatic fibrosis grade were positive (r = 0.434) (all P < 0.01).

conclusionSerum hs-CRP levels in CHB patients can reflect degree of liver damage and of liver fibrosis.

Indexed as

Hepatitis B, ChronicAlanine TransaminaseAspartate AminotransferasesC-Reactive ProteinHepatitis B virusHumansLiver CirrhosisAlanine TransaminaseAspartate AminotransferasesC-Reactive Protein

Identifiers

PMID26398839
PMCPMC12677485
OpenAlexW2471844028

What OpenQuestion holds

Textmetadata
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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.