Evidence map›Paper›PMID 34250435›Full record

ArticleFrontiers in research metrics and analytics2021

Using Literature Based Discovery to Gain Insights Into the Metabolomic Processes of Cardiac Arrest.

Sam Henry, D Shanaka Wijesinghe, Aidan Myers, Bridget T McInnes

Open access · goldAbstract read
In one paragraph

Article in Frontiers in research metrics and analytics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

4 authors at 2 institutions in 1 country.

Sam HenryDepartment of Physics, Computer Science and Engineering, Christopher Newport University, Newport News, VA, United States.
D Shanaka WijesingheDepartment of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University, Richmond, VA, United States.
Aidan MyersDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA, United States.
Bridget T McInnesDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA, United States.
Virginia Commonwealth University · USChristopher Newport University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we describe how we applied LBD techniques to discover lecithin cholesterol acyltransferase (LCAT) as a druggable target for cardiac arrest. We fully describe our process which includes the use of high-throughput metabolomic analysis to identify metabolites significantly related to cardiac arrest, and how we used LBD to gain insights into how these metabolites relate to cardiac arrest. These insights lead to our proposal (for the first time) of LCAT as a druggable target; the effects of which are supported by

Indexed as

knowledge discoverylipidomicsliterature based discoverymetabolomicsnatural language processingnew discovery proposaltext mining

Identifiers

PMID34250435
PMCPMC8267364
OpenAlexW3176924827

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.