Evidence map›Paper›PMID 32060419›Full record

ReviewNature reviews. Drug discovery2020

Next-generation influenza vaccines: opportunities and challenges.

Chih-Jen Wei, Michelle C Crank, John Shiver, Barney S Graham, John R Mascola, Gary J Nabel

Erratum issuedAbstract readReview
In one paragraph

Review in Nature reviews. Drug discovery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 215 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
215citing 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

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

  1. Pooled it
  2. Trial
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  5. Safety and Efficacy of CR6261 in an Influenza A H1N1 Healthy Human Challenge Model.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Trial
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155 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Chih-Jen WeiSanofi Global Research and Development, Cambridge, MA, USA.
Michelle C CrankVaccine Research Center, National Institute for Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
John ShiverSanofi Pasteur, Swiftwater, PA, USA.
Barney S GrahamVaccine Research Center, National Institute for Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
John R MascolaVaccine Research Center, National Institute for Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Gary J NabelSanofi Global Research and Development, Cambridge, MA, USA. Gary.Nabel@sanofi.com.ORCID http://orcid.org/0000-0003-0619-4419

Funding

Influenza Vaccine Research and DevelopmentZIAAI005003 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI KANEKIYO, MASARU · 2009 to 2025
$89.8M
6 · The paper itself

Abstract

Seasonal influenza vaccines lack efficacy against drifted or pandemic influenza strains. Developing improved vaccines that elicit broader immunity remains a public health priority. Immune responses to current vaccines focus on the haemagglutinin head domain, whereas next-generation vaccines target less variable virus structures, including the haemagglutinin stem. Strategies employed to improve vaccine efficacy involve using structure-based design and nanoparticle display to optimize the antigenicity and immunogenicity of target antigens; increasing the antigen dose; using novel adjuvants; stimulating cellular immunity; and targeting other viral proteins, including neuraminidase, matrix protein 2 or nucleoprotein. Improved understanding of influenza antigen structure and immunobiology is advancing novel vaccine candidates into human trials.

Identifiers

PMID32060419
PMCPMC7223957

What OpenQuestion holds

Textmetadata
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.