Evidence map›Paper›PMID 29272898›Full record

ReviewSeminars in liver disease2017

Liver Sinusoidal Endothelial Cell: An Update.

Laurie D DeLeve, Ana C Maretti-Mira

Abstract readReview
In one paragraph

Review in Seminars in liver disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing 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

93 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Lessons Learned from Liver-on-Chip Platform.Annals of biomedical engineering · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

33 more citing papers are in PubMed but not listed here.

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

2 authors.

Laurie D DeLeveDivision of Gastrointestinal and Liver Diseases and the USC Research Center for Liver Diseases, Keck School of Medicine of the University of Southern California, Los Angeles, California.
Ana C Maretti-MiraDivision of Gastrointestinal and Liver Diseases and the USC Research Center for Liver Diseases, Keck School of Medicine of the University of Southern California, Los Angeles, California.

Funding

PATHO OF EXPERIMENTAL HEPATIC VENOOCCLUSIVE DISEASER01DK046357 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DELEVE, LAURIE D · 1999 to 2017
$4.3M
Liver sinusoidal endothelial cells and fibrosis.R01DK100580 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DELEVE, LAURIE D · 2014 to 2023
$2.9M
NIDDK NIH HHS R01 DK046357NIDDK NIH HHS R01 DK100580
6 · The paper itself

Abstract

This update focuses on two main topics. First, recent developments in our understanding of liver sinusoidal endothelial cell (LSEC) function will be reviewed, specifically elimination of blood-borne waste, immunological function of LSECs, interaction of LSECs with liver metastases, LSECs and liver regeneration, and LSECs and hepatic fibrosis. Second, given the current emphasis on rigor and transparency in biomedical research, the update discusses the need for standardization of methods to demonstrate identity and purity of isolated LSECs, pitfalls in methods that might lead to a selection bias in the types of LSECs isolated, and questions about long-term culture of LSECs. Various surface markers used for immunomagnetic selection are reviewed.

Indexed as

AnimalsBiomarkersCapillariesCell Culture TechniquesCell SeparationEndothelial CellsHumansLiverLiver DiseasesPhenotypeSignal TransductionBiomarkers

Identifiers

PMID29272898
PMCPMC6005648

What OpenQuestion holds

Textmetadata
LicenceTDM
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.