Evidence map›Paper›PMID 30429792›Full record

ArticleFrontiers in pharmacology2018

Determining the Balance Between Drug Efficacy and Safety by the Network and Biological System Profile of Its Therapeutic Target.

Xiao Xu Li, Jiayi Yin, Jing Tang, Yinghong Li, Qingxia Yang, Ziyu Xiao, Runyuan Zhang, Yunxia Wang, Jiajun Hong, Lin Tao and 2 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Electrochemical andJournal of pharmaceutical analysis · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

12 authors.

Xiao Xu LiCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Jiayi YinCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Jing TangCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Yinghong LiCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Qingxia YangCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Ziyu XiaoCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Runyuan ZhangCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Yunxia WangCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Jiajun HongCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Lin TaoKey Laboratory of Elemene Class Anti-cancer Chinese Medicine of Zhejiang Province, School of Medicine, Hangzhou Normal University, Hangzhou, China.
Weiwei XueSchool of Pharmaceutical Sciences and Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing, China.
Feng ZhuCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most challenging puzzles in drug discovery is the identification and characterization of candidate drug of well-balanced profile between efficacy and safety. So far, extensive efforts have been made to evaluate this balance by estimating the quantitative structure-therapeutic relationship and exploring target profile of adverse drug reaction. Particularly, the therapeutic index (TI) has emerged as a key indicator illustrating this delicate balance, and a clinically successful agent requires a sufficient TI suitable for it corresponding indication. However, the TI information are largely unknown for most drugs, and the mechanism underlying the drugs with narrow TI (NTI drugs) is still elusive. In this study, the collective effects of human protein-protein interaction (PPI) network and biological system profile on the drugs' efficacy-safety balance were systematically evaluated. First, a comprehensive literature review of the FDA approved drugs confirmed their NTI status. Second, a popular feature selection algorithm based on

Indexed as

artificial intelligencebiological system profiledrug efficacy-safety balanceprotein-protein interaction networktherapeutic index

Identifiers

PMID30429792
PMCPMC6220079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.