Evidence map›Paper›PMID 33870846›Full record

ArticleEmerging microbes & infections2021

Viral quasispecies quantitative analysis: a novel approach for appraising the immune tolerant phase of chronic hepatitis B virus infection.

Mingjie Wang, Li Chen, MinHui Dong, Jing Li, Beidi Zhu, Zhitao Yang, Qiming Gong, Yue Han, Demin Yu, Donghua Zhang and 3 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Emerging microbes & infections, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Detection and Prevention of Virus Infection.Advances in experimental medicine and biology · 2022
    Article
  3. 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

13 authors.

Mingjie WangDepartment of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, People's Republic of China.ORCID https://orcid.org/0000-0002-5680-2390
Li ChenDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, People's Republic of China.ORCID https://orcid.org/0000-0001-8492-1963
MinHui DongDepartment of Infectious Diseases, Huashan Hospital and Key Laboratory of Medical Molecular Virology (MOH & MOE), Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Jing LiDepartment of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, People's Republic of China.
Beidi ZhuDepartment of Infectious Diseases, Huashan Hospital and Key Laboratory of Medical Molecular Virology (MOH & MOE), Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Zhitao YangDepartment of Emergency, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, People's Republic of China.
Qiming GongDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, People's Republic of China.
Yue HanDepartment of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, People's Republic of China.
Demin YuDepartment of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, People's Republic of China.
Donghua ZhangDepartment of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, People's Republic of China.
Fabien ZoulimINSERM U1052, Cancer Research Centre of Lyon (CRCL), Lyon, France.
Jiming ZhangDepartment of Infectious Diseases, Huashan Hospital and Key Laboratory of Medical Molecular Virology (MOH & MOE), Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Xinxin ZhangDepartment of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, People's Republic of China.ORCID https://orcid.org/0000-0002-0598-6425

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few non-invasive models were established for precisely identifying the immune tolerant (IT) phase from chronic hepatitis B (CHB). This study aimed to develop a novel approach that combined next-generation sequencing (NGS) and machine learning algorithms using our recently published viral quasispecies (QS) analysis package. 290 HBeAg positive patients from whom liver biopsies were taken were enrolled and divided into a training group (

Indexed as

QuasispeciesAdultCluster AnalysisDecision Support Systems, ClinicalDeep LearningFemaleHepatitis B, ChronicHepatitis B Surface AntigensHepatitis B virusHumansImmune ToleranceMaleMiddle AgedPrincipal Component AnalysisRetrospective StudiesSequence Analysis, DNAHepatitis B Surface AntigensChronic hepatitis Bclinical pathologydecision support techniquesmachine learningnatural historyquasispecies

Identifiers

PMID33870846
PMCPMC8812768

What OpenQuestion holds

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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.