Evidence map›Paper›PMID 36338120›Full record

ReviewFrontiers in bioengineering and biotechnology2022

Intersection of stem cell biology and engineering towards next generation

Erika Yan Wang, Yimu Zhao, Sargol Okhovatian, Jacob B Smith, Milica Radisic

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Matrix stiffness induces endothelial network senescence.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. 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

5 authors at 3 institutions in 2 countries.

Erika Yan WangDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Yimu ZhaoInstitute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
Sargol OkhovatianInstitute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
Jacob B SmithToronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Milica RadisicInstitute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
University of Toronto · CAToronto General Hospital · CAUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human fibrotic diseases constitute a major health problem worldwide. Fibrosis involves significant etiological heterogeneity and encompasses a wide spectrum of diseases affecting various organs. To date, many fibrosis targeted therapeutic agents failed due to inadequate efficacy and poor prognosis. In order to dissect disease mechanisms and develop therapeutic solutions for fibrosis patients,

Indexed as

biosensordisease modelingfibrosismachine learning (ML)organ on a chip (OCC)stem celltissue engineeering

Identifiers

PMID36338120
PMCPMC9630603
OpenAlexW4306948733

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.