Evidence map›Paper›PMID 33667412›Full record

ReviewStem cell reports2021

Opportunities and challenges with stem cell-based embryo models.

Janet Rossant, Patrick P L Tam

Open access · goldAbstract readReview
In one paragraph

Review in Stem cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.6field-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

40 citing papers in PubMed, 90 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Virtual twins and the future of human developmental biology.NPJ systems biology and applications · 2026
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. N2B27 media formulations influence gastruloid development.Development (Cambridge, England) · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Stem cell-based models of early human development.Development (Cambridge, England) · 2025
    Review
  17. Article
  18. Article
  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

2 authors at 2 institutions in 2 countries.

Janet RossantHospital for Sick Children, University of Toronto, and The Gairdner Foundation, Toronto, Canada. Electronic address: janet.rossant@gairdner.org.
Patrick P L TamChildren's Medical Research Institute, University of Sydney, and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia. Electronic address: ptam@cmri.org.au.
Hospital for Sick Children · CAUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cell-based embryo models open an unprecedented avenue for modeling embryogenesis, cell lineage differentiation, tissue morphogenesis, and organogenesis in mammalian development. Experimentation on these embryo models can lead to a better understanding of the mechanisms of development and offers opportunities for functional genomic studies of disease-causing mechanisms, identification of therapeutic targets, and preclinical modeling of advanced therapeutics for precision medicine. An immediate challenge is to create embryo models of high fidelity to embryogenesis and organogenesis in vivo, to ensure that the knowledge gleaned is biologically meaningful and clinically relevant.

Indexed as

Models, BiologicalAnimalsBody PatterningEmbryo, MammalianEmbryonic DevelopmentEmbryonic Stem CellsHumansTerminology as Topicamniotic sacblastoidsembryo modelsgastruloidshuman embryo developmentprimitive streakstem cells

Identifiers

PMID33667412
PMCPMC8185371
OpenAlexW3134582569

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.