Evidence map›Paper›PMID 19750575›Full record

ArticleWorld journal of gastroenterology2009

Baseline predictors of virological response for chronic hepatitis B patients.

Xue-Jie Wu, Yan Wang, Ji Chen, Gui-Qiang Wang

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2009. 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
0.4field-weighted citation impact, top 36% 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, 6 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

4 authors at 3 institutions in 3 countries.

Xue-Jie WuDepartment of Infectious Diseases, Peking University First Hospital, Beijing 100034, China.
Yan Wang
Ji Chen
Gui-Qiang Wang
National Natural Science Foundation of China · CNPeking University · CNWright State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine which baseline factors of chronic hepatitis B patients are predictive of virological response to Peginterferon alpha-2b therapy.

methodsA total of 21 HBeAg-positive chronic hepatitis B (CHB) patients treated with Peginterferon alpha-2b were recruited. They were treated with Peginterferon alpha-2b (0.5-1.0 microg/kg per week) for 24 wk and followed up for 24 wk. Clinical and laboratory data of the patients were determined at pretreatment and at week 12, at 24 during treatment, and at week 48 during follow up.

resultsTen patients achieved a virological response at the end of treatment. Their baseline serum alanine aminotransferase (ALT), thyroid-stimulating hormone (TSH), and total thyroxin (TT4) levels were significantly different from those who failed treatment. The positive predictive values (PPV) and negative predictive values (NPV) of ALT, TSH, and TT4 were 75% and 89 %, 75% and 89 %, and 75% and 75%, respectively. Moreover, combinations of the baseline ALT and TT4, ALT and TSH, TT4 and TSH levels had much higher PPV and NPV (86% and 88%, 89% and 100%, 83% and 100%, respectively).

conclusionBaseline serum ALT, TSH, and TT4 levels, especially in combination, have high predictive values of virological response to Peginterferon alpha-2b in HBeAg-positive CHB patients.

Indexed as

AdultAntiviral AgentsBiomarkersFemaleHepatitis B, ChronicHepatitis B e AntigensHepatitis B virusHumansInterferon-alphaInterferon alpha-2MalePolyethylene GlycolsRecombinant ProteinsAntiviral AgentsBiomarkersHepatitis B e AntigensInterferon-alphaInterferon alpha-2peginterferon alfa-2bPolyethylene GlycolsRecombinant Proteins

Identifiers

PMID19750575
PMCPMC2744188
OpenAlexW1980043431

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.