Evidence map›Paper›PMID 23732897›Full record

ArticleHuman vaccines & immunotherapeutics2013

Report from the field: Overview of the Sixth Annual Vaccine Renaissance Conference.

Denice Spero, Lauren Levitz, Anne S De Groot

Abstract readConference Proceedings
In one paragraph

Article in Human vaccines & immunotherapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Denice SperoInstitute for Immunology and Informatics; University of Rhode Island; Providence, RI USA.
Lauren Levitz
Anne S De Groot

Funding

TRIAD Scientific Core: TRIAD ToolkitU19AI082642 · NIAID · UNIVERSITY OF RHODE ISLAND · PI MARTIN, WILLIAM D · 2009 to 2013
$13.0M
Vaccine Renaissance Conference at the Institute for Immunology and InformaticsR13AI094946 · NIAID · UNIVERSITY OF RHODE ISLAND · PI DEGROOT, ANNE SEARLS · 2011 to 2018
$61k
NIAID NIH HHS R13 AI094946NIAID NIH HHS R13AI094946-01NIAID NIH HHS U19 AI082642NIAID NIH HHS U19AI082642-01
6 · The paper itself

Abstract

The Sixth Annual Vaccine Renaissance Conference, hosted by the Institute for Immunology and Informatics (iCubed) at the University of Rhode Island (URI), took place on October 15-17, 2012. This conference provides a forum for the review of current progress in the discovery and development of vaccines, and creates an environment for the exchange of ideas. Dr. Joel McCleary opened the conference with a warning about the importance of preparing for well-defined biowarfare threats, including tularemia and Staphylococcal enterotoxin B. Following the keynote address, sessions explored biodefense and preparation for pandemic and biowarfare threats; vaccines for emerging and re-emerging neglected tropical diseases; animal vaccines and human health; and vaccine vectors and the human microbiome. In this issue of Human Vaccines and Immunotherapeutics, seven Vaccine Renaissance Conference speakers will showcase their work; here, we describe a few of the conference highlights.

Indexed as

Biological WarfareBiological Warfare AgentsAnimalsCattleClostridioides difficileEnterocolitis, PseudomembranousEnterotoxinsHepatitis CHumansMalariaMalaria VaccinesMicePandemicsPlasmodium bergheiTropical ClimateTularemiaBiological Warfare Agentsenterotoxin B, staphylococcalEnterotoxinsMalaria VaccinesVaccinesViral Hepatitis Vaccinesanimal vaccinesbiodefenseemerging infectious diseasesimmunoinformaticsimmunomodulationneglected tropical diseasesT cell epitopevaccine designvaccines

Identifiers

PMID23732897
PMCPMC3974885

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.