Evidence map›Paper›PMID 34711822›Full record

ArticleNature communications2021

The impact of the timely birth dose vaccine on the global elimination of hepatitis B.

Margaret J de Villiers, Shevanthi Nayagam, Timothy B Hallett

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  17. [Recent advances in epidemiology, prevention and treatment of hepatitis B in China].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Article
  18. Article
  19. Global elimination of HBV: Is it really achievable?Journal of viral hepatitis · 2024
    Review
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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

3 authors.

Margaret J de VilliersMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK. m.de-villiers@imperial.ac.uk.ORCID 0000-0002-9323-6703
Shevanthi NayagamMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Timothy B HallettMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID 0000-0002-9681-0424

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

In 2016 the World Health Organization set the goal of eliminating hepatitis B globally by 2030. Horizontal transmission has been greatly reduced in most countries by scaling up coverage of the infant HBV vaccine series, and vertical transmission is therefore becoming increasingly dominant. Here we show that scaling up timely hepatitis B birth dose vaccination to 90% of new-borns in 110 low- and middle-income countries by 2030 could prevent 710,000 (580,000 to 890,000) deaths in the 2020 to 2030 birth cohorts compared to status quo, with the greatest benefits in Africa. Maintaining this could lead to elimination by 2030 in the Americas, but not before 2059 in Africa. Drops in coverage due to disruptions in 2020 may lead to 15,000 additional deaths, mostly in South-East Asia and the Western Pacific. Delays in planned scale-up could lead to an additional 580,000 deaths globally in the 2020 to 2030 birth cohorts.

Indexed as

AfricaAmericasAsia, SoutheasternBirth CohortDisease EradicationFemaleHepatitis BHepatitis B VaccinesHepatitis VirusesHumansInfantInfant, NewbornMaleVaccinationWorld Health OrganizationHepatitis B Vaccines

Identifiers

PMID34711822
PMCPMC8553835

What OpenQuestion holds

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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.