Evidence map›Paper›PMID 31404139›Full record

ReviewFrontiers in immunology2019

Vaccine Evolution and Its Application to Fight Modern Threats.

Emanuele Andreano, Ugo D'Oro, Rino Rappuoli, Oretta Finco

Abstract readHistorical ArticleReview
In one paragraph

Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. The advent of clinical self-amplifying RNA vaccines.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  3. Complement system activation in wild boar (Frontiers in veterinary science · 2025
    Article
  4. Review
  5. Evolution of tick vaccinology.Parasitology · 2024
    Review
  6. Article
  7. A broadly immunogenic polyvalentInfection and immunity · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Towards A Novel Multi-Epitopes Chimeric Vaccine for Simulating Strong Immune Responses and Protection againstInternational journal of environmental research and public health · 2021
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

4 authors.

Emanuele AndreanoDepartment of Life Sciences, University of Siena, Siena, Italy.
Ugo D'OroGlaxoSmithKline, Siena, Italy.
Rino RappuoliGlaxoSmithKline, Siena, Italy.
Oretta FincoGlaxoSmithKline, Siena, Italy.

Funding

European Research Council
6 · The paper itself

Abstract

Before the development of the first vaccine, infectious diseases were a major cause of death around the globe with life expectancy estimated to be <50 years. Three measures have helped to drastically reduce the burden of infectious diseases but only vaccines have proven to be able to eradicate infectious agents. Herein, we describe new methodologies that have paved the way for what is currently known as modern vaccinology and the use of vaccines to tackle antimicrobial resistance, the biggest global threat of our time.

Indexed as

AIDS VaccinesAntibodies, MonoclonalAntibodies, NeutralizingAntigensB-LymphocytesClinical Trials as TopicCommunicable Diseases, EmergingDisease OutbreaksDrug Resistance, MicrobialGenetic EngineeringGlobal HealthHistory, 19th CenturyHistory, 20th CenturyHistory, 21st CenturyHistory, AncientHistory, MedievalAIDS VaccinesAntibodies, MonoclonalAntibodies, NeutralizingAntigensRespiratory Syncytial Virus VaccinesVaccinesantimicrobial resistance (AMR)infectious diseasesvaccine developmentvaccinesvaccinology

Identifiers

PMID31404139
PMCPMC6669413

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.