Evidence map›Paper›PMID 32315297›Full record

SynthesisPLoS medicine2020

Hepatitis B virus seroepidemiology data for Africa: Modelling intervention strategies based on a systematic review and meta-analysis.

Anna L McNaughton, José Lourenço, Phillip Armand Bester, Jolynne Mokaya, Sheila F Lumley, Uri Obolski, Donall Forde, Tongai G Maponga, Kenneth R Katumba, Dominique Goedhals and 5 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
6.0field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 10 institutions in 4 countries.

Anna L McNaughtonNuffield Department of Medicine, University of Oxford, Medawar Building for Pathogen Research, Oxford, United Kingdom.ORCID 0000-0002-7436-8727
José LourençoDepartment of Zoology, University of Oxford, Medawar Building for Pathogen Research, Oxford, United Kingdom.
Phillip Armand BesterDivision of Virology, University of the Free State and National Health Laboratory Service, Bloemfontein, South Africa.ORCID 0000-0002-5795-5313
Jolynne MokayaNuffield Department of Medicine, University of Oxford, Medawar Building for Pathogen Research, Oxford, United Kingdom.ORCID 0000-0001-8398-0689
Sheila F LumleyNuffield Department of Medicine, University of Oxford, Medawar Building for Pathogen Research, Oxford, United Kingdom.ORCID 0000-0001-6825-9324
Uri ObolskiSchool of Public Health, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0001-7594-9745
Donall FordeNuffield Department of Medicine, Nuffield Department of Medicine Research Building, Headington, Oxford, United Kingdom.ORCID 0000-0003-2452-9868
Tongai G MapongaDivision of Medical Virology, University of Stellenbosch, Faculty of Medicine and Health Sciences, Cape Town, South Africa.ORCID 0000-0002-6876-3712
Kenneth R KatumbaMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda.
Dominique GoedhalsDivision of Virology, University of the Free State and National Health Laboratory Service, Bloemfontein, South Africa.
Sunetra GuptaDepartment of Zoology, University of Oxford, Medawar Building for Pathogen Research, Oxford, United Kingdom.
Janet SeeleyMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda.ORCID 0000-0002-0583-5272
Robert NewtonMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda.
Ponsiano OcamaMakerere University College of Health Sciences, Kampala, Uganda.
Philippa C MatthewsNuffield Department of Medicine, University of Oxford, Medawar Building for Pathogen Research, Oxford, United Kingdom.ORCID 0000-0002-4036-4269
University of Oxford · GBJohn Radcliffe Hospital · GBNational Health Laboratory Service · ZALondon School of Hygiene & Tropical Medicine · GBMakerere University · UGNuffield Orthopaedic Centre · GBStellenbosch University · ZATel Aviv University · ILUganda Virus Research Institute · UGUniversity of York · GB

Funding

Medical Research Council MC_UU_00027/2Wellcome Trust 110110
6 · The paper itself

Abstract

backgroundInternational Sustainable Development Goals (SDGs) for elimination of hepatitis B virus (HBV) infection set ambitious targets for 2030. In African populations, infant immunisation has been fundamental to reducing incident infections in children, but overall population prevalence of chronic hepatitis B (CHB) infection remains high. In high-prevalence populations, adult catch-up vaccination has sometimes been deployed, but an alternative Test and Treat (T&T) approach could be used as an intervention to interrupt transmission. Universal T&T has not been previously evaluated as a population intervention for HBV infection, despite high-profile data supporting its success with human immunodeficiency virus (HIV). METHODS AND

findingsWe set out to investigate the relationship between prevalence of HBV infection and exposure in Africa, undertaking a systematic literature review in November 2019. We identified published seroepidemiology data representing the period 1995-2019 from PubMed and Web of Science, including studies of adults that reported prevalence of both hepatitis B surface antigen (HBsAg; prevalence of HBV infection) and antibody to hepatitis B core antigen (anti-HBc; prevalence of HBV exposure). We identified 96 studies representing 39 African countries, with a median cohort size of 370 participants and a median participant age of 34 years. Using weighted linear regression analysis, we found a strong relationship between the prevalence of infection (HBsAg) and exposure (anti-HBc) (R2 = 0.45, p < 0.001). Region-specific differences were present, with estimated CHB prevalence in Northern Africa typically 30% to 40% lower (p = 0.007) than in Southern Africa for statistically similar exposure rates, demonstrating the need for intervention strategies to be tailored to individual settings. We applied a previously published mathematical model to investigate the effect of interventions in a high-prevalence setting. The most marked and sustained impact was projected with a T&T strategy, with a predicted reduction of 33% prevalence by 20 years (95% CI 30%-37%) and 62% at 50 years (95% CI 57%-68%), followed by routine neonatal vaccination and prevention of mother to child transmission (PMTCT; at 100% coverage). In contrast, the impact of catch-up vaccination in adults had a negligible and transient effect on population prevalence. The study is constrained by gaps in the published data, such that we could not model the impact of antiviral therapy based on stratification by specific clinical criteria and our model framework does not include explicit age-specific or risk-group assumptions regarding force of transmission.

conclusionsThe unique data set collected in this study highlights how regional epidemiology data for HBV can provide insights into patterns of transmission, and it provides an evidence base for future quantitative research into the most effective local interventions. In combination with robust neonatal immunisation programmes, ongoing PMTCT efforts, and the vaccination of high-risk groups, diagnosing and treating HBV infection is likely to be of most impact in driving advances towards elimination targets at a population level.

Indexed as

Hepatitis B virusAfricaHepatitis BHepatitis B AntibodiesHepatitis B VaccinesHIV InfectionsHumansSeroepidemiologic StudiesVaccinationHepatitis B AntibodiesHepatitis B Vaccines

Identifiers

PMID32315297
PMCPMC7173646
OpenAlexW3017361557

What OpenQuestion holds

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LicenceCC BY
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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.