Evidence map›Paper›PMID 28369768›Full record

ReviewBritish journal of pharmacology2018

Drug repurposing from the perspective of pharmaceutical companies.

Y Cha, T Erez, I J Reynolds, D Kumar, J Ross, G Koytiger, R Kusko, B Zeskind, S Risso, E Kagan and 3 more

Registry-linked trialAbstract readReview
In one paragraph

Review in British journal of pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05671497 (Evaluation of the Effect of Cilostazol on the Clinical Outcomes of Rheumatoid Arthritis Patients), which is not on this map. Cited by 197 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
197citing papers in PubMed, 1 pooled it
–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.

NCT05671497 phase2 / phase3completednot on this mapstarted 2022, after this paper: background citation

Evaluation of the Effect of Cilostazol on the Clinical Outcomes of Rheumatoid Arthritis Patients

TypeinterventionalSponsorAin Shams UniversityRan2022 to 2024Enrolled70ConditionsRheumatoid ArthritisArmsCilostazol 100 MG, conventional synthetic antirheumatic drugs
3 · Its place in the literature

Who cites it

197 citing papers in PubMed, 1 synthesis or guideline pooled it.

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137 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

13 authors.

Y ChaImmuneering Corporation, Cambridge, MA, USA.
T ErezGlobal Research and Development, Teva Pharmaceutical Industries, Netanya, Israel.
I J ReynoldsGlobal Research and Development, Teva Pharmaceutical Industries, West Chester, PA, USA.
D KumarImmuneering Corporation, Cambridge, MA, USA.
J RossImmuneering Corporation, Cambridge, MA, USA.
G KoytigerImmuneering Corporation, Cambridge, MA, USA.
R KuskoImmuneering Corporation, Cambridge, MA, USA.
B ZeskindImmuneering Corporation, Cambridge, MA, USA.
S RissoGlobal Research and Development, Teva Pharmaceutical Industries, West Chester, PA, USA.
E KaganGlobal Research and Development, Teva Pharmaceutical Industries, Netanya, Israel.
S PapapetropoulosGlobal Research and Development, Teva Pharmaceutical Industries, Frazer, PA, USA.
I GrossmanGlobal Research and Development, Teva Pharmaceutical Industries, Netanya, Israel.
D LaifenfeldGlobal Research and Development, Teva Pharmaceutical Industries, Netanya, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug repurposing holds the potential to bring medications with known safety profiles to new patient populations. Numerous examples exist for the identification of new indications for existing molecules, most stemming from serendipitous findings or focused recent efforts specifically limited to the mode of action of a specific drug. In recent years, the need for new approaches to drug research and development, combined with the advent of big data repositories and associated analytical methods, has generated interest in developing systematic approaches to drug repurposing. A variety of innovative computational methods to enable systematic repurposing screens, experimental as well as through in silico approaches, have emerged. An efficient drug repurposing pipeline requires the combination of access to molecular data, appropriate analytical expertise to enable robust insights, expertise and experimental set-up for validation and clinical development know-how. In this review, we describe some of the main approaches to systematic repurposing and discuss the various players in this field and the need for strategic collaborations to increase the likelihood of success in bringing existing molecules to new indications, as well as the current advantages, considerations and challenges in repurposing as a drug development strategy pursued by pharmaceutical companies. LINKED ARTICLES: This article is part of a themed section on Inventing New Therapies Without Reinventing the Wheel: The Power of Drug Repurposing. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v175.2/issuetoc.

Indexed as

Databases, PharmaceuticalComputer SimulationDrug IndustryDrug RepositioningHumans

Identifiers

PMID28369768
PMCPMC5758385

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.