Evidence map›Paper›PMID 25287071›Full record

ReviewThe pharmacogenomics journal2015

The first steps towards the era of personalised vaccinology: predicting adverse reactions.

P Pellegrino, F S Falvella, V Perrone, C Carnovale, T Brusadelli, M Pozzi, S Antoniazzi, S Cheli, C Perrotta, E Clementi and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in The pharmacogenomics journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.International journal of molecular sciences · 2021
    Review
  6. Article
  7. Review
  8. 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

11 authors.

P PellegrinoUnit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, University Hospital 'Luigi Sacco', Universitá di Milano, Milan, Italy.
F S FalvellaUnit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, University Hospital 'Luigi Sacco', Universitá di Milano, Milan, Italy.
V PerroneUnit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, University Hospital 'Luigi Sacco', Universitá di Milano, Milan, Italy.
C CarnovaleUnit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, University Hospital 'Luigi Sacco', Universitá di Milano, Milan, Italy.
T BrusadelliUnit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, University Hospital 'Luigi Sacco', Universitá di Milano, Milan, Italy.
M PozziScientific Institute, IRCCS E. Medea, Bosisio Parini, Lecco, Italy.
S AntoniazziIRCCS Foundation Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
S CheliUnit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, University Hospital 'Luigi Sacco', Universitá di Milano, Milan, Italy.
C PerrottaUnit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, University Hospital 'Luigi Sacco', Universitá di Milano, Milan, Italy.
E Clementi1] Scientific Institute, IRCCS E. Medea, Bosisio Parini, Lecco, Italy [2] Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, Consiglio Nazionale delle Ricerche Institute of Neuroscience, University Hospital 'Luigi Sacco', Universitá di Milano, Milan, Italy.
S RadiceUnit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, University Hospital 'Luigi Sacco', Universitá di Milano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Until now, the occurrence of adverse reactions among individuals inoculated with identical vaccines has been ascribed to unpredictable stochastic processes. Recent advances in pharmacogenomics indicate that some features of host response to immunisation are influenced by genetic traits, henceforth predictable. The ability to predict the adverse reaction to vaccination would represent an important step towards the development of personalised vaccinology and could enhance public confidence in the safety of vaccines. Herein, we have reviewed all the available information on the association between genetic variants and the risk for healthy subjects to develop adverse reactions.

Indexed as

Drug-Related Side Effects and Adverse ReactionsGenetic VariationHumansPharmacogeneticsRiskVaccinationVaccinesVaccines

Identifiers

PMID25287071

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.