Evidence map›Paper›PMID 30587224›Full record

ArticleJournal of biomedical semantics2018

Investigating the role of interleukin-1 beta and glutamate in inflammatory bowel disease and epilepsy using discovery browsing.

Thomas C Rindflesch, Catherine L Blake, Michael J Cairelli, Marcelo Fiszman, Caroline J Zeiss, Halil Kilicoglu

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical semantics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Neuroinflammation, Sleep, and Circadian Rhythms.Frontiers in cellular and infection microbiology · 2022
    Review
  9. Article
  10. Drug repurposing for COVID-19 via knowledge graph completion.Journal of biomedical informatics · 2021
    Article
  11. Review
  12. Article
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

6 authors at 4 institutions in 1 country.

Thomas C RindfleschRetired, Washington, DC, USA.
Catherine L BlakeSchool of Information Sciences, University of Illinois at Urbana-Champaign, 501 E Daniel Street, Champaign, 61820, IL, USA.
Michael J CairelliKaiser Permanente Southern California, 11975 El Camino Real, San Diego, CA, 92103, USA.
Marcelo FiszmanIndependent researcher, Rio de Janeiro, Brazil.
Caroline J ZeissDepartment of Comparative Medicine, Yale School of Medicine, New Haven, CT, 06520, USA.
Halil KilicogluLister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, 8600 Rockville Pike, Bethesda, MD, USA. kilicogluh@mail.nih.gov.ORCID 0000-0003-3987-9393
Kaiser Permanente · USUnited States National Library of Medicine · USUniversity of Illinois Urbana-Champaign · USYale University · US

Funding

Semantic Relation Extraction from Biomedical Text - Methods and ApplicationsZIALM010012 · NLM · NATIONAL LIBRARY OF MEDICINE · PI KILICOGLU, HACI · 2018 to 2019
$2.1M
6 · The paper itself

Abstract

backgroundStructured electronic health records are a rich resource for identifying novel correlations, such as co-morbidities and adverse drug reactions. For drug development and better understanding of biomedical phenomena, such correlations need to be supported by viable hypotheses about the mechanisms involved, which can then form the basis of experimental investigations.

methodsIn this study, we demonstrate the use of discovery browsing, a literature-based discovery method, to generate plausible hypotheses elucidating correlations identified from structured clinical data. The method is supported by Semantic MEDLINE web application, which pinpoints interesting concepts and relevant MEDLINE citations, which are used to build a coherent hypothesis.

resultsDiscovery browsing revealed a plausible explanation for the correlation between epilepsy and inflammatory bowel disease that was found in an earlier population study. The generated hypothesis involves interleukin-1 beta (IL-1 beta) and glutamate, and suggests that IL-1 beta influence on glutamate levels is involved in the etiology of both epilepsy and inflammatory bowel disease.

conclusionsThe approach presented in this paper can supplement population-based correlation studies by enabling the scientist to identify literature that may justify the novel patterns identified in such studies and can underpin basic biomedical research that can lead to improved treatments and better healthcare outcomes.

Indexed as

Data MiningBrainEpilepsyGlutamic AcidHumansInflammatory Bowel DiseasesInterleukin-1betaMEDLINESemanticsGlutamic AcidInterleukin-1betaDiscovery browsingEpilepsyGlutamateInflammatory bowel diseaseInterleukin-1 betaLiterature-based discovery

Identifiers

PMID30587224
PMCPMC6307110
OpenAlexW2908070408

What OpenQuestion holds

Textmetadata
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.