Evidence map›Paper›PMID 31239374›Full record

ArticlemBio2019

Electronic Health Informatics Data To Describe Clearance Dynamics of Hepatitis B Surface Antigen (HBsAg) and e Antigen (HBeAg) in Chronic Hepatitis B Virus Infection.

Louise O Downs, David A Smith, Sheila F Lumley, Meha Patel, Anna L McNaughton, Jolynne Mokaya, M Azim Ansari, Hizni Salih, Kinga A Várnai, Oliver Freeman and 9 more

Open access · goldAbstract read
In one paragraph

Article in mBio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 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

19 authors at 3 institutions in 1 country.

Louise O Downs *Department of Infectious Diseases and Microbiology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.ORCID 0000-0002-6088-4704
David A Smith *Nuffield Department of Medicine, Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-7778-7137
Sheila F LumleyDepartment of Infectious Diseases and Microbiology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Meha PatelDepartment of Infectious Diseases and Microbiology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Anna L McNaughtonNuffield Department of Medicine, Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom.
Jolynne MokayaNuffield Department of Medicine, Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom.
M Azim AnsariNuffield Department of Medicine, Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom.
Hizni SalihOxford NIHR Biomedical Research Centre Clinical Informatics Group, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
Kinga A VárnaiNIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, National Institute for Health Research Health Informatics Collaborative, Oxford, United Kingdom.
Oliver FreemanOxford NIHR Biomedical Research Centre Clinical Informatics Group, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
Sarah CrippsPharmacy Department, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Jane PhillipsDepartment of Hepatology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Jane CollierDepartment of Hepatology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Kerrie WoodsNIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, National Institute for Health Research Health Informatics Collaborative, Oxford, United Kingdom.
Keith ChannonNIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, National Institute for Health Research Health Informatics Collaborative, Oxford, United Kingdom.
Jim DaviesOxford NIHR Biomedical Research Centre Clinical Informatics Group, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
Eleanor BarnesNuffield Department of Medicine, Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom.
Katie JefferyDepartment of Infectious Diseases and Microbiology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Philippa C MatthewsDepartment of Infectious Diseases and Microbiology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom philippa.matthews@ndm.ox.ac.uk.ORCID 0000-0002-4036-4269
John Radcliffe Hospital · GBOxford BioMedica (United Kingdom) · GBUniversity of Oxford · GB

Funding

British Heart Foundation SP/17/16/33519Wellcome Trust 110110
6 · The paper itself

Abstract

HBsAg and HBeAg have gained traction as biomarkers of control and clearance during chronic hepatitis B virus infection (CHB). Improved understanding of the clearance correlates of these proteins could help inform improvements in patient-stratified care and advance insights into the underlying mechanisms of disease control, thus underpinning new cure strategies. We collected electronic clinical data via an electronic pipeline supported by the National Institute for Health Research Health Informatics Collaborative (NIHR HIC), adopting an unbiased approach to the generation of a robust longitudinal data set for adults testing HBsAg positive from a large UK teaching hospital over a 6-year period (2011 to 2016 inclusive). Of 553 individuals with CHB, longitudinal data were available for 319, representing >107,000 weeks of clinical follow-up. Among these 319 individuals, 13 (4%) cleared HBsAg completely. Among these 13, the HBsAg clearance rate in individuals on nucleos(t)ide analogue (NA) therapy (

Indexed as

AdolescentAdultAgedAntiviral AgentsBiomarkersChildCohort StudiesFemaleHepatitis B, ChronicHepatitis B e AntigensHepatitis B Surface AntigensHepatitis B virusHospitalsHumansLongitudinal StudiesMaleAntiviral AgentsBiomarkersHepatitis B e AntigensHepatitis B Surface Antigensbiomarkerhealth informaticshepatitis B virussurface antigenviral clearance

Identifiers

PMID31239374
PMCPMC6593400
OpenAlexW2953590888

What OpenQuestion holds

Textmetadata
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.