Evidence map›Paper›PMID 32934806›Full record

ArticleF1000Research2020

Prediction of repurposed drugs for treating lung injury in COVID-19.

Bing He, Lana Garmire

Abstract read
In one paragraph

Article in F1000Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. A Comprehensive In Silico Study of New Metabolites fromMolecules (Basel, Switzerland) · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Repurposing of antibiotics for clinical management of COVID-19: a narrative review.Annals of clinical microbiology and antimicrobials · 2021
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
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

2 authors.

Bing HeDepartment of Computational Medicine and Bioinformatics, Medical School, University of Michigan, Ann Arbor, 48105, USA.ORCID 0000-0003-1719-9290
Lana GarmireDepartment of Computational Medicine and Bioinformatics, Medical School, University of Michigan, Ann Arbor, 48105, USA.

Funding

An Integrative Omics Approach to Identify Biomarkers Related to Preeclampsia and Breast Cancer RisksR01HD084633 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2020
$3.0M
Cancer precision medicine through spatially informative single cell image and transcriptomics data analysisR01LM012373 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2024
$2.4M
DR. EPS: Drug Repurposing for Extended Patient SurvivalR01LM012907 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2019 to 2022
$1.0M
An Integrative Bioinformatics Approach to Study Single Cancer Cell HeterogeneityK01ES025434 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2014 to 2018
$905k
NICHD NIH HHS R01 HD084633NIEHS NIH HHS K01 ES025434NLM NIH HHS R01 LM012373NLM NIH HHS R01 LM012907
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Drug RepositioningAngiotensin-Converting Enzyme 2Angiotensin-Converting Enzyme InhibitorsBetacoronavirusCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentHumansLung DiseasesPandemicsPeptidyl-Dipeptidase APneumonia, ViralSARS-CoV-2TetracyclinesAngiotensin-Converting Enzyme 2Angiotensin-Converting Enzyme InhibitorsPeptidyl-Dipeptidase Atetracycline CMT-3TetracyclinesACE2CGP-60474COL-3COVID-19lung injurySARS-CoV-2

Identifiers

PMID32934806
PMCPMC7468567

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.