Evidence map›Paper›PMID 35951425›Full record

ArticleDatabase : the journal of biological databases and curation2022

TopEx: topic exploration of COVID-19 corpora - Results from the BioCreative VII Challenge Track 4.

Amy L Olex, Evan French, Peter Burdette, Srilakshmi Sagiraju, Thomas Neumann, Tamas S Gal, Bridget T McInnes

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Database : the journal of biological databases and curation, 2022. 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. 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

7 authors.

Amy L OlexC. Kenneth and Diane Wright Center for Clinical and Translational Research, Virginia Commonwealth University, 203 E. Cary St, Richmond, VA 23291, USA.ORCID 0000-0001-8064-521X
Evan FrenchC. Kenneth and Diane Wright Center for Clinical and Translational Research, Virginia Commonwealth University, 203 E. Cary St, Richmond, VA 23291, USA.
Peter BurdetteC. Kenneth and Diane Wright Center for Clinical and Translational Research, Virginia Commonwealth University, 203 E. Cary St, Richmond, VA 23291, USA.
Srilakshmi SagirajuC. Kenneth and Diane Wright Center for Clinical and Translational Research, Virginia Commonwealth University, 203 E. Cary St, Richmond, VA 23291, USA.
Thomas NeumannMassey Cancer Center, Virginia Commonwealth University, 401 S. Main St, Richmond, VA 23284, USA.
Tamas S GalC. Kenneth and Diane Wright Center for Clinical and Translational Research, Virginia Commonwealth University, 203 E. Cary St, Richmond, VA 23291, USA.
Bridget T McInnesDepartment of Computer Science, Virginia Commonwealth University, 401 S. Main St, Richmond, VA 23284, USA.

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
NCATS NIH HHS UL1 TR002649NCATS NIH HHS UL1TR002649
6 · The paper itself

Abstract

TopEx is a natural language processing application developed to facilitate the exploration of topics and key words in a set of texts through a user interface that requires no programming or natural language processing knowledge, thus enhancing the ability of nontechnical researchers to explore and analyze textual data. The underlying algorithm groups semantically similar sentences together followed by a topic analysis on each group to identify the key topics discussed in a collection of texts. Implementation is achieved via a Python library back end and a web application front end built with React and D3.js for visualizations. TopEx has been successfully used to identify themes, topics and key words in a variety of corpora, including Coronavirus disease 2019 (COVID-19) discharge summaries and tweets. Feedback from the BioCreative VII Challenge Track 4 concludes that TopEx is a useful tool for text exploration for a variety of users and tasks. DATABSE URL: http://topex.cctr.vcu.edu.

Indexed as

COVID-19AlgorithmsData MiningHumansNatural Language ProcessingSoftware

Identifiers

PMID35951425
PMCPMC9369716

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.