Evidence map›Paper›PMID 20840785›Full record

ArticleVirology journal2010

The inverse association of serum HBV DNA level with HDL and adiponectin in chronic hepatitis B infection.

Ashraf Mohamadkhani, Kourosh Sayemiri, Reza Ghanbari, Elham Elahi, Hossein Poustchi, Ghodratollah Montazeri

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 79 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

6 authors at 3 institutions in 1 country.

Ashraf MohamadkhaniEpidemiology and social medicine department, Ilam University of Medical sciences, Ilam, Iran.
Kourosh Sayemiri
Reza Ghanbari
Elham Elahi
Hossein Poustchi
Ghodratollah Montazeri
University of Tehran · IRIlam University · IRShariati Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe natural history of hepatitis B virus (HBV) is complex and influenced by the level of viral replication and host factors. The hepatoprotective role of high density lipoproteins (HDL) and adiponectin as host factors on HBV persistence is less well understood.

methodsTo investigate correlation between HBV DNA level with clinical parameters in patients with chronic hepatitis B, 92 male subjects with HBV infection without any risk factors for diabetes were enrolled in this study. Age and BMI of the study population were matched and HBV DNA, ALT, tumor necrosis factor alpha (TNF-α), adiponectin and lipid levels was measured.

resultsSerum HBV DNA correlated inversely with serum HDL level (r = -0.23; P = 0.014). The median of log copies/ml for HBV DNA (3.67) was considered as cut off point. Patients with HBV DNA level higher than cut off point had lower adiponectin (8.7 ± 5.3 vs 10.7 ± 4.9 μg/ml p = 0.05). Also, adiponectin had a negative correlation with TNF-α (r = -0.21, P = 0.04) and positive correlations with HDL (r = 0.18, P = 0.043). Multivariate regression models show that serum HDL level is an independent factor to predict serum HBV DNA.

conclusionOur findings showed that higher HBV DNA levels are associated with lower HDL and adiponectin but induced TNF-alpha values.

Indexed as

AdiponectinAdultAlanine TransaminaseDNA, ViralHepatitis B, ChronicHepatitis B virusHumansLipoproteins, HDLMaleMiddle AgedSerumTumor Necrosis Factor-alphaVirus ReplicationAdiponectinADIPOQ protein, humanAlanine TransaminaseDNA, ViralLipoproteins, HDLTumor Necrosis Factor-alpha

Identifiers

PMID20840785
PMCPMC2949833
OpenAlexW2082206242

What OpenQuestion holds

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LicenceCC BY
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.