Evidence map›Paper›PMID 30766959›Full record

ArticleHepatology communications2019

Actin Depolymerization in Dedifferentiated Liver Sinusoidal Endothelial Cells Promotes Fenestrae Re-Formation.

Julie Di Martino, Patrice Mascalchi, Philippe Legros, Sabrina Lacomme, Etienne Gontier, Paulette Bioulac-Sage, Charles Balabaud, Violaine Moreau, Frédéric Saltel

Open access · goldAbstract read
In one paragraph

Article in Hepatology communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  9. Article
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  12. Pathological Changes in Hepatic Sinusoidal Endothelial Cells inTropical medicine and infectious disease · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Role of liver sinusoidal endothelial cells in liver diseases.Nature reviews. Gastroenterology & hepatology · 2021
    Review
  18. Review
  19. The wHole Story About Fenestrations in LSEC.Frontiers in physiology · 2021
    Review
  20. Review
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

9 authors at 5 institutions in 1 country.

Julie Di MartinoINSERM, UMR1053 Bariton-Bordeaux Research in Translational Oncology Bordeaux France.
Patrice MascalchiUniversité de Bordeaux Bordeaux France.
Philippe LegrosPlateforme Aquitaine de Caractérisation des Matériaux Pessac France.
Sabrina LacommeUniversité de Bordeaux Bordeaux France.
Etienne GontierUniversité de Bordeaux Bordeaux France.
Paulette Bioulac-SageINSERM, UMR1053 Bariton-Bordeaux Research in Translational Oncology Bordeaux France.
Charles BalabaudINSERM, UMR1053 Bariton-Bordeaux Research in Translational Oncology Bordeaux France.
Violaine MoreauINSERM, UMR1053 Bariton-Bordeaux Research in Translational Oncology Bordeaux France.
Frédéric SaltelINSERM, UMR1053 Bariton-Bordeaux Research in Translational Oncology Bordeaux France.
Bordeaux Imaging CenterBordeaux Population Health · FRInserm · FRUniversité de Bordeaux · FRLaboratoire Génie et Matériaux Textiles · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver sinusoidal endothelial cells (LSECs) possess fenestrae, which are key for the exchange between blood and hepatocytes. Alterations in their number or diameter have important implications for hepatic function in liver diseases. They are lost early in the development of hepatic fibrosis through a process called capillarization. In this study, we aimed to demonstrate whether

Identifiers

PMID30766959
PMCPMC6357827
OpenAlexW2907867217

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.