Evidence map›Paper›PMID 35058618›Full record

ReviewNature reviews. Rheumatology2022

Joint-on-chip platforms: entering a new era of in vitro models for arthritis.

Carlo Alberto Paggi, Liliana Moreira Teixeira, Séverine Le Gac, Marcel Karperien

Open access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
5.8field-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

50 citing papers in PubMed, 78 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Carlo Alberto PaggiApplied Microfluidics for BioEngineering Research, MESA+Institute for Nanotechnology & TechMed Centre, University of Twente, Enschede, Netherlands.
Liliana Moreira TeixeiraDepartment of Developmental BioEngineering, TechMed Centre, University of Twente, Enschede, Netherlands.
Séverine Le GacApplied Microfluidics for BioEngineering Research, MESA+Institute for Nanotechnology & TechMed Centre, University of Twente, Enschede, Netherlands. s.legac@utwente.nl.
Marcel KarperienDepartment of Developmental BioEngineering, TechMed Centre, University of Twente, Enschede, Netherlands. marcel.karperien@utwente.nl.ORCID http://orcid.org/0000-0003-0751-0604
University of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arthritis affects millions of people worldwide. With only a few disease-modifying drugs available for treatment of rheumatoid arthritis and none for osteoarthritis, a clear need exists for new treatment options. Current disease models used for drug screening and development suffer from several disadvantages and, most importantly, do not accurately emulate all facets of human joint diseases. A humanized joint-on-chip (JoC) model or platform could revolutionize research and drug development in rheumatic diseases. A JoC model is a multi-organ-on-chip platform that incorporates a range of engineered features to emulate essential aspects and functions of the human joint and faithfully recapitulates the joint's physiological responses. In this Review, we propose an architecture for such a JoC platform, discuss the status of the engineering of individual joint tissues and the efforts to combine them in a functional JoC model and identify unresolved issues and challenges in constructing an accurate, physiologically relevant system. The goal is to ultimately obtain a reliable and ready-to-use humanized model of the joint for studying the pathophysiology of rheumatic diseases and screening drugs for treatment of these conditions.

Indexed as

Arthritis, RheumatoidOsteoarthritisBone and BonesHumans

Identifiers

PMID35058618
OpenAlexW4206321369

What Socratic 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 Socratic graph.