Evidence map›Paper›PMID 15052676›Full record

ArticleWorld journal of gastroenterology2004

Effect of SEN virus coinfection on outcome of lamivudine therapy in patients with hepatitis B.

Dong Xu, De-Ying Tian, Zhen-Gang Zhang, Hong-Yun Chen, Pei-Hui Song

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Dong XuDepartment of Infectious Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Street 1095, Wuhan 430030, Hubei Province, China. xudongtj@tom.com
De-Ying Tian
Zhen-Gang Zhang
Hong-Yun Chen
Pei-Hui Song
Huazhong University of Science and Technology · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimInteractions between hepatitis B virus (HBV) and other viral hepatitis infections are well known, whether the newly discovered SEN virus (SENV) has any effect on lamivudine antiHBV activity is unclear. Our aim was to clarify the effect on treatment outcome of coinfection with SEN virus in patients with hepatitis B during lamivudine therapy.

methodsNested polymerase chain reaction (PCR) amplification was used to detect SENV-D and SENV-H strains in serum from 45 patients with chronic hepatitis B treated with lamivudine 100 mg daily for 12 mo. HBV DNA load was detected with fluorescence quantitative PCR (FQ-PCR) and YMDD (tyrosine, methionine, aspartate, aspartate) motif mutation of HBV DNA was investigated with cDNA microarray.

resultsSENV DNA was detected in 5 of 45(11.1%) cases after 12 mo they received lamivudine treatment. SENV-D and SENV-H were 4.4% and 6.7% respectively. HBV DNA failed to respond to lamivudine therapy in 4 of 5 SENV coinfected patients while only 10 of 40 patients became SENV positive and the difference was statistically significant. Response of ALT and HBeAg to lamivudine had no significant difference between coinfection patients and single HBV infection ones.

conclusionCoinfection with SEN virus in chronic hepatitis B patients may adversely affect the outcome of lamivudine treatment.

Indexed as

AdultDNA Virus InfectionsHepatitis BHumansLamivudineMaleReverse Transcriptase InhibitorsTreatment OutcomeLamivudineReverse Transcriptase Inhibitors

Identifiers

PMID15052676
PMCPMC4717114
OpenAlexW32377057

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.