Evidence map›Paper›PMID 29218009›Full record

ReviewFrontiers in pharmacology2017

Drugs and Targets in Fibrosis.

Xiaoyi Li, Lixin Zhu, Beibei Wang, Meifei Yuan, Ruixin Zhu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

48 citing papers in PubMed, 102 citations in OpenAlex.

  1. Trial
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  3. Article
  4. Review
  5. Article
  6. Article
  7. Preclinical targeting of liver fibrosis with aEuropean journal of nuclear medicine and molecular imaging · 2024
    Article
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  11. Review
  12. Article
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  19. The role of infected epithelial cells inFrontiers in cellular and infection microbiology · 2023
    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

5 authors at 2 institutions in 2 countries.

Xiaoyi LiDepartment of Gastroenterology, School of Life Sciences and Technology, Shanghai East Hospital, Tongji University, Shanghai, China.
Lixin ZhuDepartment of Pediatrics, Digestive Diseases and Nutrition Center, State University of New York at Buffalo, Buffalo, NY, United States.
Beibei WangDepartment of Gastroenterology, School of Life Sciences and Technology, Shanghai East Hospital, Tongji University, Shanghai, China.
Meifei YuanCenter for Drug Discovery, SINO High Goal Chemical Technology Co., Ltd., Shanghai, China.
Ruixin ZhuDepartment of Gastroenterology, School of Life Sciences and Technology, Shanghai East Hospital, Tongji University, Shanghai, China.
Shanghai East Hospital · CNUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrosis contributes to the development of many diseases and many target molecules are involved in fibrosis. Currently, the majority of fibrosis treatment strategies are limited to specific diseases or organs. However, accumulating evidence demonstrates great similarities among fibroproliferative diseases, and more and more drugs are proved to be effective anti-fibrotic therapies across different diseases and organs. Here we comprehensively review the current knowledge on the pathological mechanisms of fibrosis, and divide factors mediating fibrosis progression into extracellular and intracellular groups. Furthermore, we systematically summarize both single and multiple component drugs that target fibrosis. Future directions of fibrosis drug discovery are also proposed.

Indexed as

drugfibrosispathological mechanismpharmacologytarget

Identifiers

PMID29218009
PMCPMC5703866
OpenAlexW2769225534

What Socratic 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 Socratic graph.