Evidence map›Paper›PMID 31178920›Full record

Trial reportComputational and mathematical methods in medicine2019

Improved Specificity and False Discovery Rates for Multiplex Analysis of Changes in Strain-Specific Anti-Influenza IgG.

Dongmei Li, Jiong Wang, John J Treanor, Martin S Zand

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in Computational and mathematical methods in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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.

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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 at 1 institution in 1 country.

Dongmei Li *Informatics Core, Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, NY, USA.ORCID 0000-0001-9140-2483
Jiong Wang *Department of Medicine, Division of Nephrology, University of Rochester Medical Center, Rochester, NY, USA.ORCID 0000-0002-4938-5074
John J TreanorDepartment of Medicine, Division of Infectious Diseases, University of Rochester Medical Center, Rochester, NY, USA.
Martin S ZandInformatics Core, Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, NY, USA.ORCID 0000-0002-7095-8682
University of Rochester Medical Center · US

Funding

The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
Modeling B Cell Vaccine Responses in Transplant RecipientsR01AI069351 · NIAID · UNIVERSITY OF ROCHESTER · PI HYRIEN, OLLIVIER, ZAND, MARTIN S · 2007 to 2016
$3.7M
Modeling Mechanisms of Adjuvanted Influenza Vaccine Induced IgG Repertoire Diversity and Heterosubtypic ImmunityR01AI129518 · NIAID · UNIVERSITY OF ROCHESTER · PI HYRIEN, OLLIVIER, ZAND, MARTIN S · 2017 to 2021
$3.5M
Modeling Immune Desensitization in Renal TransplantationR01AI098112 · NIAID · UNIVERSITY OF ROCHESTER · PI ZAND, MARTIN S · 2012 to 2016
$1.9M
Predictive Modeling of Multidimensional Anti-Influenza IgG RepertoiresR21AI138500 · NIAID · UNIVERSITY OF ROCHESTER · PI ZAND, MARTIN S · 2018 to 2019
$424k
NCATS NIH HHS UL1 TR002001NIAID NIH HHS R01 AI069351NIAID NIH HHS R01 AI098112NIAID NIH HHS R01 AI129518NIAID NIH HHS R21 AI138500
6 · The paper itself

Abstract

We describe a statistical approach to compare absolute antibody concentrations, both within and across subjects, derived from a multidimensional measurement of IgG binding to the influenza surface receptor hemagglutinin (HA). This approach addresses a fundamental problem in the field of vaccine immunology: how to accurately compare the levels of antibodies against multiple influenza strains. The mPlex-Flu assay can simultaneously measure the concentration of IgG antibodies against up to 50 influenza strains with only ≤10

Indexed as

Influenza A Virus, H5N1 SubtypeAntibodies, ViralAntigensComputer SimulationData Interpretation, StatisticalFalse Positive ReactionsHemagglutinin Glycoproteins, Influenza VirusHumansImmunoassayImmunoglobulin GInfluenza, HumanInfluenza VaccinesLikelihood FunctionsLinear ModelsMonte Carlo MethodNormal DistributionAntibodies, ViralAntigensHemagglutinin Glycoproteins, Influenza VirusImmunoglobulin GInfluenza Vaccines

Identifiers

PMID31178920
PMCPMC6501432
OpenAlexW2936285899

What OpenQuestion holds

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LicenceCC BY
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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.