Evidence map›Paper›PMID 34790124›Full record

ReviewFrontiers in pharmacology2021

Drug-Repositioning Approaches Based on Medical and Life Science Databases.

Yoshito Zamami, Hirofumi Hamano, Takahiro Niimura, Fuka Aizawa, Kenta Yagi, Mitsuhiro Goda, Yuki Izawa-Ishizawa, Keisuke Ishizawa

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

8 authors.

Yoshito ZamamiDepartment of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Hirofumi HamanoDepartment of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Takahiro NiimuraDepartment of Pharmacy, Tokushima University Hospital, Tokushima, Japan.
Fuka AizawaDepartment of Pharmacy, Tokushima University Hospital, Tokushima, Japan.
Kenta YagiClinical Trial Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan.
Mitsuhiro GodaClinical Trial Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan.
Yuki Izawa-IshizawaDepartment of Pharmacology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Keisuke IshizawaDepartment of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug repositioning is a drug discovery strategy in which an existing drug is utilized as a therapeutic agent for a different disease. As information regarding the safety, pharmacokinetics, and formulation of existing drugs is already available, the cost and time required for drug development is reduced. Conventional drug repositioning has been dominated by a method involving the search for candidate drugs that act on the target molecules of an organism in a diseased state through basic research. However, recently, information hosted on medical information and life science databases have been used in translational research to bridge the gap between basic research in drug repositioning and clinical application. Here, we review an example of drug repositioning wherein candidate drugs were found and their mechanisms of action against a novel therapeutic target were identified via a basic research method that combines the findings retrieved from various medical and life science databases.

Indexed as

databasedrug repositioningexisting drugslife science databasesmedical information database

Identifiers

PMID34790124
PMCPMC8591243

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.