Evidence map›Paper›PMID 26339406›Full record

SynthesisInternational journal of clinical and experimental pathology2015

Correlations of IFN-γ-inducible protein-10 with the risk of chronic hepatitis B and the efficacy of interferon therapy in Asians.

Lu-Lu Gong, Bin-Bin Zhao, Wen-Feng Fan, Lu-Yu Gong, Cai-Feng Chen, Jing-Jun Liu, Xuan Lu

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in International journal of clinical and experimental pathology, 2015. 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
0.7field-weighted citation impact, top 26% 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. Review
  3. Association of mRNA expression level of IP-10 in peripheral blood mononuclear cells with HBV-associated acute-on-chronic liver failure and its prognosis.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2017
    Article
  4. 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

7 authors at 3 institutions in 1 country.

Lu-Lu GongMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 100000, P.R. China.
Bin-Bin ZhaoMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 100000, P.R. China.
Wen-Feng FanDepartment of Infection, Zhongxiang People's Hospital Zhongxiang 431900, Hubei Province, P.R. China.
Lu-Yu GongDepartment of Infection, Zhongxiang People's Hospital Zhongxiang 431900, Hubei Province, P.R. China.
Cai-Feng ChenMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 100000, P.R. China.
Jing-Jun LiuMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 100000, P.R. China.
Xuan LuSchool of Basic Medical Science, Wuhan University Wuhan 430072, P.R. China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNZhongshan People's Hospital · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to identify the correlations of IFN-γ-inducible protein-10 (IP-10) with the risk of chronic hepatitis B (CHB) and the efficacy of interferon therapy in Asians.

methodSerum IP-10 levels were assayed using enzyme linked immunosorbent assay (ELISA) in both CHB and control group. CHB group received interferon-α2b treatment to compare the pre-treatment and post-treatment serum IP-10 levels. Relevant studies met predefined inclusion and exclusion criteria were enrolled into further meta-analysis. Stata 12.0 software was applied for data analysis.

resultOur case-control study demonstrated that CHB group had evaluated serum IP-10 levels compared with control group (285.7 ± 41.6 pg/mL vs. 79.1 ± 33.8 pg/mL, t = 21.85, P < 0.001. After treatment for 12 weeks, CHB group had remarkably decreased post-treatment serum IP-10 levels than pre-treatment (78.5 ± 20.4 pg/mL vs. 285.7 ± 41.6 pg/mL, t = 33.76, P < 0.001). No significance was observed on post-treatment serum IP-10 levels between CHB and control group (78.5 ± 20.4 pg/mL vs. 78.1 ± 33.8 pg/mL, t = 0.07, P = 0.947). Meta-analysis results demonstrated that serum IP-10 levels in CHB group were obviously higher than healthy controls (SMD = 2.21, 95% CI = 1.55~2.87, P < 0.001). A subgroup based on the HBeAg states revealed that serum IP-10 levels in both HBeAg-positive and HBeAg-negative CHB patients were notably higher than healthy controls (HBeAg-positive: SMD = 2.00, 95% CI = 1.13-2.87, P < 0.001; HBeAg-negative: SMD = 1.34, 95% CI = 0.97-1.72, P < 0.001).

conclusionSerum IP-10 may be correlated with the risk of CHB and the efficiency of interferon therapy, thus IP-10 may be a good biomarker for the diagnosis and treatment of CHB.

Indexed as

Asian PeopleAdultAntiviral AgentsBiomarkersCase-Control StudiesChemokine CXCL10ChinaEnzyme-Linked Immunosorbent AssayFemaleHepatitis B, ChronicHepatitis B e AntigensHumansInterferon-alphaInterferon alpha-2MaleMiddle AgedAntiviral AgentsBiomarkersChemokine CXCL10CXCL10 protein, humanHepatitis B e AntigensInterferon-alphaInterferon alpha-2Recombinant ProteinsChronic hepatitis Bhepatitis B virusinterferon inducible protein 10interferon-α2b

Identifiers

PMID26339406
PMCPMC4555734
OpenAlexW2411822708

What OpenQuestion holds

Textmetadata
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.