Evidence map›Paper›PMID 30972180›Full record

ArticleAmerican journal of translational research2019

Development and validation of an in vitro 3D model of NASH with severe fibrotic phenotype.

Sumanta Mukherjee, Leonid Zhelnin, Anthony Sanfiz, Jie Pan, Zhuyin Li, Melissa Yarde, Jean McCarty, Gabor Jarai

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.5field-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

24 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  13. Anti-CD47 antibody treatment attenuates liver inflammation and fibrosis in experimental non-alcoholic steatohepatitis models.Liver international : official journal of the International Association for the Study of the Liver · 2022
    Article
  14. Engineering Modular 3D Liver Culture MicroenvironmentsAdvanced nanobiomed research · 2022
    Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. [A review on cell-based models of human liver disease in vitro].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    Review
  20. A 3D Human Liver Model of Nonalcoholic Steatohepatitis.Journal of clinical and translational hepatology · 2020
    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

8 authors at 2 institutions in 3 countries.

Sumanta MukherjeeFibrosis Discovery, Bristol Myers Squibb Pennington 08534, NJ.
Leonid ZhelninFibrosis Discovery, Bristol Myers Squibb Pennington 08534, NJ.
Anthony SanfizFibrosis Discovery, Bristol Myers Squibb Pennington 08534, NJ.
Jie PanLead Discovery and Optimization, Bristol Myers Squibb Lawrenceville 08543, NJ.
Zhuyin LiLead Discovery and Optimization, Bristol Myers Squibb Lawrenceville 08543, NJ.
Melissa YardeLead Discovery and Optimization, Bristol Myers Squibb Lawrenceville 08543, NJ.
Jean McCartyDepartment of Pathology, Bristol Myers Squibb Lawrenceville 08543, NJ.
Gabor JaraiFibrosis Discovery, Bristol Myers Squibb Pennington 08534, NJ.
Bristol-Myers Squibb (Germany) · DEBristol-Myers Squibb (Belgium) · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic steatohepatitis represents a significant and rapidly growing unmet medical need. The development of novel therapies has been hindered in part, by the limitations of existing preclinical models. There is a strong need for physiologically relevant

Indexed as

ASK-1fibrosisliver micro tissueNASH

Identifiers

PMID30972180
PMCPMC6456529
OpenAlexW2990051018

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.