Evidence map›Paper›PMID 32340868›Full record

ReviewTrends in immunology2020

Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome?

John S Tsang, Carlota Dobaño, Pierre VanDamme, Gemma Moncunill, Arnaud Marchant, Rym Ben Othman, Manish Sadarangani, Wayne C Koff, Tobias R Kollmann

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in Trends in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06738082 (Influenza Vaccine Elicited Immune Response in Immunocompromised Patients), which is not on this map. Cited by 94 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 2 pooled it
13.5field-weighted citation impact, top 1% of its field
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.

NCT06738082 completednot on this mapstarted 2024, after this paper: background citation

Influenza Vaccine Elicited Immune Response in Immunocompromised Patients

TypeobservationalSponsorInsel Gruppe AG, University Hospital BernRan2024 to 2025Enrolled147ConditionsInfluenza Vaccine, Immunocompromised PatientsArmsInfluenza vaccine
3 · Its place in the literature

Who cites it

94 citing papers in PubMed, 2 syntheses or guidelines pooled it, 146 citations in OpenAlex.

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34 more citing papers are in PubMed but not listed here.

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

9 authors at 6 institutions in 5 countries.

John S TsangMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID and Center for Human Immunology (CHI), NIH, Bethesda, MD, USA.
Carlota DobañoISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Pierre VanDammeCentre for the Evaluation of Vaccination and Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
Gemma MoncunillISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Arnaud MarchantInstitute for Medical Immunology, Université libre de Bruxelles, Charleroi, Belgium.
Rym Ben OthmanTelethon Kids Institute, Perth Children's Hospital, University of Western Australia, Nedlands, WA, Australia.
Manish SadaranganiVaccine Evaluation Center, BC Children's Hospital Research Institute and Division of Infectious Diseases, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada.
Wayne C KoffHuman Vaccines Project, New York, NY, USA.
Tobias R KollmannTelethon Kids Institute, Perth Children's Hospital, University of Western Australia, Nedlands, WA, Australia. Electronic address: Tobias.Kollmann@telethonkids.org.au.
Barcelona Institute for Global Health · ESThe Kids Research Institute Australia · AUHuman Immunome Project · USUniversité Libre de Bruxelles · BEUniversity of Antwerp · BEUniversity of British Columbia · CA

Funding

Center for Human Immunology ZICAI001226 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI CHERRY, JAMES · 2018 to 2025
$34.1M
Transcriptomics to define biomarkers of neonatal vaccine immunogenicityU19AI118608 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI LEVY, OFER · 2017 to 2021
$24.7M
Integrative analysis and modeling of human immune responses and pathologiesZIAAI001152 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI TSANG, JOHN · 2011 to 2022
$14.1M
Systems Immunology of COVID-19ZIAAI001266 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI TSANG, JOHN · 2020 to 2022
$1.2M
NIAID NIH HHS U19 AI118608
6 · The paper itself

Abstract

Immune signatures measured at baseline and immediately prior to vaccination may predict the immune response to vaccination. Such pre-vaccine assessment might allow not only population-based, but also more personalized vaccination strategies ('precision vaccination'). If baseline immune signatures are predictive, the underlying mechanism they reflect may also determine vaccination outcome. Thus, baseline signatures might contribute to identifying interventional targets to be modulated prior to vaccination in order to improve vaccination responses. This concept has the potential to transform vaccination strategies and usher in a new approach to improve global health.

Indexed as

Immunity, ActiveVaccinesHumansVaccinationVaccines

Identifiers

PMID32340868
PMCPMC7142696
OpenAlexW3015851459

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.