Evidence map›Paper›PMID 28008342›Full record

ArticleWorld journal of hepatology2016

On-treatment quantitative hepatitis B e antigen predicted response to nucleos(t)ide analogues in chronic hepatitis B.

Yu-Hua Gao, Qing-Hua Meng, Zhan-Qing Zhang, Ping Zhao, Qing-Hua Shang, Quan Yuan, Yao Li, Juan Deng, Tong Li, Xue-En Liu and 1 more

Abstract read
In one paragraph

Article in World journal of hepatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
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

11 authors.

Yu-Hua GaoYu-Hua Gao, Yao Li, Juan Deng, Tong Li, Xue-En Liu, Hui Zhuang, Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Qing-Hua MengYu-Hua Gao, Yao Li, Juan Deng, Tong Li, Xue-En Liu, Hui Zhuang, Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Zhan-Qing ZhangYu-Hua Gao, Yao Li, Juan Deng, Tong Li, Xue-En Liu, Hui Zhuang, Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Ping ZhaoYu-Hua Gao, Yao Li, Juan Deng, Tong Li, Xue-En Liu, Hui Zhuang, Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Qing-Hua ShangYu-Hua Gao, Yao Li, Juan Deng, Tong Li, Xue-En Liu, Hui Zhuang, Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Quan YuanYu-Hua Gao, Yao Li, Juan Deng, Tong Li, Xue-En Liu, Hui Zhuang, Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Yao LiYu-Hua Gao, Yao Li, Juan Deng, Tong Li, Xue-En Liu, Hui Zhuang, Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Juan DengYu-Hua Gao, Yao Li, Juan Deng, Tong Li, Xue-En Liu, Hui Zhuang, Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Tong LiYu-Hua Gao, Yao Li, Juan Deng, Tong Li, Xue-En Liu, Hui Zhuang, Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Xue-En LiuYu-Hua Gao, Yao Li, Juan Deng, Tong Li, Xue-En Liu, Hui Zhuang, Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Hui ZhuangYu-Hua Gao, Yao Li, Juan Deng, Tong Li, Xue-En Liu, Hui Zhuang, Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate potential predictors for treatment response to nucleos(t)ide analogues (NAs) in hepatitis B e antigen (HBeAg)-positive chronic hepatitis B (CHB) patients.

methodsSeventy-six HBeAg-positive CHB patients received 96-wk NAs optimized therapy (lamivudine and adefovir dipivoxil) were studied retrospectively. Serum hepatitis B surface antigen, HBeAg, hepatitis B core antibody, hepatitis B virus (HBV) DNA and alanine aminotransferase levels were quantitatively measured before and during the treatment at 12 and 24 wk. Stepwise logistic regression analyses were performed to identify predictors for treatment response, and areas under the receiver operating characteristic curves (AUROC) of the independent predictors were calculated.

resultsForty-three CHB patients (56.6%) achieved virological response (VR: HBV DNA ≤ 300 copies/mL) and 15 patients (19.7%) developed HBeAg seroconversion (SC) after the 96-wk NAs treatment. The HBeAg level (OR = 0.45,

conclusionThe combination of HBeAg level and its declined value at 24-wk may be used as a reference parameter to optimize NAs therapy.

Indexed as

Chronic hepatitis BHepatitis B e antigenHepatitis B virus DNANucleos(t)ide analoguesQuantitative detectionResponse predictor

Identifiers

PMID28008342
PMCPMC5143432

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Registered trials

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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.