Evidence map›Paper›PMID 25879661›Full record

ReviewBMC immunology2015

New challenges in modern vaccinology.

Mireille Centlivre, Béhazine Combadière

Abstract readReview
In one paragraph

Review in BMC immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. High-throughput Sequencing in Vaccine Research.Journal of veterinary research · 2021
    Article
  5. Article
  6. Article
  7. Systemic cytokine and chemokine responses in immunized mice challenged with staphylococcal enterotoxin B.Toxicon : official journal of the International Society on Toxinology · 2017
    Article
  8. Article
  9. Bulletin de l'Academie nationale de medecine
    Article
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

2 authors.

Mireille CentlivreSorbonne Universités, UPMC University Paris 06, UMR_S CR7, Centre d'Immunologie et des Maladies Infectieuses- Paris, F-75013, Paris, France. mireille.centlivre@upmc.fr.
Béhazine CombadièreSorbonne Universités, UPMC University Paris 06, UMR_S CR7, Centre d'Immunologie et des Maladies Infectieuses- Paris, F-75013, Paris, France. behazine.combadiere@upmc.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination has been a major advance for health care, allowing eradication or reduction of incidence and mortality of various infectious diseases. However, there are major pathogens, such as Human Immunodeficiency Virus (HIV) or the causative agent of malaria, for which classical vaccination approaches have failed, therefore requiring new vaccination strategies. The development of new vaccine strategies relies on the ability to identify the challenges posed by these pathogens. Understanding the pathogenesis and correlates of protection for these diseases, our ability to accurately direct immune responses and to vaccinate specific populations are such examples of these roadblocks. In this respect, the use of a robust, cost-effective and predictive animal model that recapitulates features of both human infection and vaccination is currently a much-needed tool. We discuss here the major limitations faced by modern vaccinology and notably, the development of humanized mice for assessing the immune system, along with their potential as vaccine models.

Indexed as

ImmunityVaccinesAnimalsCost-Benefit AnalysisDisease Models, AnimalHumansVaccinationVaccines

Identifiers

PMID25879661
PMCPMC4374378

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.