Evidence map›Paper›PMID 30317555›Full record

ReviewImmunology2019

Systems vaccinology and big data in the vaccine development chain.

René H M Raeven, Elly van Riet, Hugo D Meiring, Bernard Metz, Gideon F A Kersten

Abstract readReview
In one paragraph

Review in Immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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  15. Vaccines · 2023
    Review
  16. Article
  17. A Comprehensive Review of mRNA Vaccines.International journal of molecular sciences · 2023
    Review
  18. Article
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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

5 authors.

René H M RaevenIntravacc (Institute for Translational Vaccinology), Bilthoven, The Netherlands.ORCID 0000-0002-1063-271X
Elly van RietIntravacc (Institute for Translational Vaccinology), Bilthoven, The Netherlands.
Hugo D MeiringIntravacc (Institute for Translational Vaccinology), Bilthoven, The Netherlands.
Bernard MetzIntravacc (Institute for Translational Vaccinology), Bilthoven, The Netherlands.
Gideon F A KerstenIntravacc (Institute for Translational Vaccinology), Bilthoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systems vaccinology has proven a fascinating development in the last decade. Where traditionally vaccine development has been dominated by trial and error, systems vaccinology is a tool that provides novel and comprehensive understanding if properly used. Data sets retrieved from systems-based studies endorse rational design and effective development of safe and efficacious vaccines. In this review we first describe different omics-techniques that form the pillars of systems vaccinology. In the second part, the application of systems vaccinology in the different stages of vaccine development is described. Overall, this review shows that systems vaccinology has become an important tool anywhere in the vaccine development chain.

Indexed as

Systems BiologyAnimalsDatasets as TopicDrug DesignHumansProteomicsTranscriptomeVaccinationVaccinesVaccinologyVaccinesbioinformaticsproteomicsT-celltranscriptomicsvaccination

Identifiers

PMID30317555
PMCPMC6283655

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.