Evidence map›Paper›PMID 30662672›Full record

ArticleAmerican journal of translational research2018

Drug discovery and drug marketing with the critical roles of modern administration.

Jing Chen, Xiaofang Luo, Huimin Qiu, Vienna Mackey, Lichun Sun, Xiaoping Ouyang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 99 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Jing ChenCollege of Business Administration, Hunan University Changsha 410082, PR China.
Xiaofang LuoHunan University of Technology Zhuzhou 412007, PR China.
Huimin QiuHunan University of Technology Zhuzhou 412007, PR China.
Vienna MackeyDepartment of Medicine, School of Medicine, Tulane Health Sciences Center New Orleans, LA 70112-2699, USA.
Lichun SunHunan Beautide Pharmaceuticals Xiangtan, Hunan, PR China.
Xiaoping OuyangCollege of Business Administration, Hunan University Changsha 410082, PR China.
Hunan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug research and development is a long-term and complicated process with the involvement of multidisciplinary, multi-sector cooperation and regulations of the Food and Drug Administration (FDA). It is of high risk, high cost, high benefit and time-consuming. Therefore, the drug administration and management is extremely necessary and useful. We discussed the whole process including laboratory study, target determination, drug discovery and screening, leading compound and optimization, preclinical and clinical trials, FDA approval and marketing. Actively exploring and applying modern administration and innovative management technology, we can scientifically and effectively enhance the discovery of new drug research and development, and strengthen the supervision of drug market. In recent years, innovation such as artificial intelligence has been applied to drug discovery and drug administration. We further analyzed the possibility of applying management technology to reduce risks, generate profits and benefit patients in the whole process of new drug research and development. In conclusion, drug administration and management plays critical roles in modern drug research and development, and the new technology can be helpful for drug launching.

Indexed as

administrationDrug research and developmentlaboratorymanagementpreclinical and clinical trial

Identifiers

PMID30662672
PMCPMC6325519
OpenAlexW2989100760

What OpenQuestion holds

Textmetadata
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.