Evidence map›Paper›PMID 29940695›Full record

ArticleClinical and translational science2018

The Current Status of Drug Discovery and Development as Originated in United States Academia: The Influence of Industrial and Academic Collaboration on Drug Discovery and Development.

Tohru Takebe, Ryoka Imai, Shunsuke Ono

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 2 pooled it
15.9field-weighted citation impact, top 1% of its field
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

109 citing papers in PubMed, 2 syntheses or guidelines pooled it, 224 citations in OpenAlex.

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49 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

3 authors at 3 institutions in 1 country.

Tohru TakebePublic Affairs and Policy Department, Mitsubishi Tanabe Pharma Corporation, Tokyo, Japan.
Ryoka ImaiInstitute for Health Economics and Policy, Minato-ku, Tokyo, Japan.
Shunsuke OnoLaboratory of Pharmaceutical Regulatory Science, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
Institute for Health Economics and Policy · JPMitsubishi Tanabe Pharma CorporationThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Academic drug discovery is a vital component to current drug discovery and development environments. In this study, we investigated 798 drug discovery projects that took place between 1991 and 2015 at 36 academic institutions in the United States. The observed success rates of academic drug discovery and development were 75% at phase I, 50% at phase II, 59% at phase III, and 88% at the new drug application/biologics license application (NDA/BLA) phase. These results were similar to the corresponding success rates of the pharmaceutical industry. Collaboration between academic institutions and the pharmaceutical industry seemed more important at later stages than earlier ones; all projects that succeeded at phase III or the NDA/BLA stage involved academic-industrial collaboration. Many academic research projects involved neoplasms and infectious diseases, and were focused on small molecules and biologics. The success rates and possible effects of academic-industrial collaboration seemed to vary depending on disease domains and drug modalities.

Indexed as

Intersectoral CollaborationClinical Trials as TopicDrug DevelopmentDrug DiscoveryDrug IndustryHumansUnited StatesUniversities

Identifiers

PMID29940695
PMCPMC6226120
OpenAlexW2810408942

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.