Evidence map›Paper›PMID 37196212›Full record

ArticleHealth security

Lessons Learned From Limited Overlap of 15 In Vitro COVID-19 Drug Repurposing Screens.

Phillip J Tomezsko, Cassandra W Phillipson, Matthew E Walsh

Abstract read
In one paragraph

Article in Health security. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Phillip J TomezskoPhillip J. Tomezsko, PhD, is Technical Staff, Counter WMD Systems Group, MIT Lincoln Laboratory, Lexington, MA.
Cassandra W PhillipsonCasandra W. Philipson, PhD, was Technical Staff, MIT Lincoln Laboratory, Lexington, MA.
Matthew E WalshMatthew E. Walsh was Associate Technical Staff, Biological and Chemical Technologies Group, MIT Lincoln Laboratory, Lexington, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug repurposing can quickly and cost-effectively identify medical countermeasures against pathogens with pandemic potential and could be used as a down-selection method for selecting US Food and Drug Administration-approved drugs to test in clinical trials. We compared results from 15 high-throughput in vitro screening efforts that tested approved and clinically evaluated drugs for activity against SARS-CoV-2 replication. From the 15 studies, 304 drugs were identified as displaying the highest level of confidence from the individual screens. Of those 304 drugs, 30 were identified in 2 or more screens, while only 3 drugs (apilimod, tetrandrine, and salinomycin) were identified in 4 screens. The lack of concordance in high-confidence hits and variations in protocols makes it challenging to use the collective data as down-selection criteria for identifying repurposing candidates to move into a clinical trial.

Indexed as

COVID-19Antiviral AgentsDrug RepositioningHumansSARS-CoV-2Antiviral AgentsBiodefense R&DCountermeasuresCOVID-19High-throughput screenInfectious diseasesPublic health preparedness/response

Identifiers

PMID37196212
PMCPMC10357111

What OpenQuestion holds

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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.