Evidence map›Paper›PMID 31249569›Full record

ArticleFrontiers in immunology2019

Assessing the Dynamics and Complexity of Disease Pathogenicity Using 4-Dimensional Immunological Data.

Ariel L Rivas, Almira L Hoogesteijn, Athos Antoniades, Marios Tomazou, Tione Buranda, Douglas J Perkins, Jeanne M Fair, Ravi Durvasula, Folorunso O Fasina, George P Tegos and 1 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. 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.

Ariel L RivasSchool of Medicine, Center for Global Health-Division of Infectious Diseases, University of New Mexico, Albuquerque, NM, United States.
Almira L HoogesteijnHuman Ecology, Centro de Investigación y de Estudios Avanzados (CINVESTAV), Mérida, Mexico.
Athos AntoniadesStremble Ventures LTD, Limassol, Cyprus.
Marios TomazouStremble Ventures LTD, Limassol, Cyprus.
Tione BurandaDepartment of Pathology, School of Medicine, University of New Mexico, Albuquerque, NM, United States.
Douglas J PerkinsSchool of Medicine, Center for Global Health-Division of Infectious Diseases, University of New Mexico, Albuquerque, NM, United States.
Jeanne M FairBiosecurity and Public Health, Los Alamos National Laboratory, Los Alamos, NM, United States.
Ravi DurvasulaLoyola University Medical Center, Chicago, IL, United States.
Folorunso O FasinaDepartment of Veterinary Tropical Diseases, University of Pretoria, Pretoria, South Africa.
George P TegosGAMA Therapeutics LLC, Mansfield, MA, United States.
Marc H V van RegenmortelCentre National de la Recherche Scientifique (CNRS), School of Biotechnology, University of Strasbourg, Strasbourg, France.

Funding

Harnessing the Malarial Immunity Omics Landscape in Vaccinated and Unvaccinated Children for Improved Therapeutic StrategiesR01AI130473 · NIAID · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Samuel Bonuke Anyona, Douglas Jay Perkins · 2018 to 2026
$5.6M
NIAID NIH HHS R01 AI130473
6 · The paper itself

Abstract

Investigating disease pathogenesis and personalized prognostics are major biomedical needs. Because patients sharing the same diagnosis can experience different outcomes, such as survival or death, physicians need new personalized tools, including those that rapidly differentiate several inflammatory phases. To address these topics, a pattern recognition-based method (PRM) that follows an inverse problem approach was designed to assess, in <10 min, eight concepts

Indexed as

AnimalsCommunicable DiseasesFemaleHantavirus InfectionsHumansInflammationLeukocytesMaleOrthohantavirusPrecision MedicinePredictive Value of TestsPrincipal Component AnalysisPrognosisSongbirdsVirulenceinfectioninflammationpathogenesispattern recognition-based visualizationpersonalized prognostics

Identifiers

PMID31249569
PMCPMC6582751

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.