Evidence map›Paper›PMID 32216545›Full record

ReviewTissue engineering. Part B, Reviews2020

Fat-On-A-Chip Models for Research and Discovery in Obesity and Its Metabolic Comorbidities.

Michelle McCarthy, Theodore Brown, Andrea Alarcon, Christopher Williams, Xiying Wu, Rosalyn D Abbott, Jeffrey Gimble, Trivia Frazier

Open access · greenAbstract readReview
In one paragraph

Review in Tissue engineering. Part B, Reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  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

8 authors at 2 institutions in 1 country.

Michelle McCarthyTulane University School of Medicine, New Orleans, Louisiana, USA.
Theodore BrownTulane University School of Medicine, New Orleans, Louisiana, USA.
Andrea AlarconLaCell LLC, New Orleans, Louisiana, USA.
Christopher WilliamsSchool of Pharmacy, Xavier University of Louisiana, New Orleans, Louisiana, USA.
Xiying WuLaCell LLC, New Orleans, Louisiana, USA.
Rosalyn D AbbottMaterials Science and Engineering Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Jeffrey GimbleLaCell LLC, New Orleans, Louisiana, USA.
Trivia FrazierLaCell LLC, New Orleans, Louisiana, USA.
LaCell (United States) · USTulane University · US

Funding

Xavier RCMI Renewal Application-Research Infrastructure CoreU54MD007595 · NIMHD · XAVIER UNIVERSITY OF LOUISIANA · PI Megan Knapp · 2019 to 2026
$41.9M
Effect of CX4945 in tamoxifen resistant BCaSC1GM136562 · NIGMS · XAVIER UNIVERSITY OF LOUISIANA · PI WILLIAMS, CHRISTOPHER · 2020 to 2023
$1.1M
NIGMS NIH HHS SC1 GM136562NIMHD NIH HHS U54 MD007595
6 · The paper itself

Abstract

The obesity epidemic and its associated comorbidities present a looming challenge to health care delivery throughout the world. Obesity is characterized as a sterile inflammatory process within adipose tissues leading to dysregulated secretion of bioactive adipokines such as adiponectin and leptin, as well as systemic metabolic dysfunction. The majority of current obesity research has focused primarily on preclinical animal models

Indexed as

Adipose Tissue, BrownLab-On-A-Chip DevicesAnimalsHumansMiceObesityADMETASCBATfat-on-a-chipmicrophysiological systemWAT

Identifiers

PMID32216545
PMCPMC8196547
OpenAlexW3013443197

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.