Evidence map›Paper›PMID 33584672›Full record

ArticleFrontiers in immunology2020

Indicator Regularized Non-Negative Matrix Factorization Method-Based Drug Repurposing for COVID-19.

Xianfang Tang, Lijun Cai, Yajie Meng, JunLin Xu, Changcheng Lu, Jialiang Yang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

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10 more citing papers are in PubMed but not listed here.

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.

Xianfang TangCollege of Information Science and Engineering, Hunan University, Changsha, China.
Lijun CaiCollege of Information Science and Engineering, Hunan University, Changsha, China.
Yajie MengCollege of Information Science and Engineering, Hunan University, Changsha, China.
JunLin XuCollege of Information Science and Engineering, Hunan University, Changsha, China.
Changcheng LuCollege of Information Science and Engineering, Hunan University, Changsha, China.
Jialiang YangDepartment of Science, Geneis Beijing Co., Ltd., Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel coronavirus, named COVID-19, has become one of the most prevalent and severe infectious diseases in human history. Currently, there are only very few vaccines and therapeutic drugs against COVID-19, and their efficacies are yet to be tested. Drug repurposing aims to explore new applications of approved drugs, which can significantly reduce time and cost compared with

Indexed as

AlgorithmsAntiviral AgentsCOVID-19 Drug TreatmentDrug RepositioningDatasets as TopicDrug DiscoveryHumansSARS-CoV-2Antiviral Agentsbiological networksCOVID-19drug repurposingnon-negative matrix factorizationsemi-supervised learning

Identifiers

PMID33584672
PMCPMC7878370

What OpenQuestion holds

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Registered trials

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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.