Evidence map›Paper›PMID 33748517›Full record

ArticleJMA journal2018

Bringing Induced Pluripotent Stem Cell Technology to the Bedside.

Peter Karagiannis, Ayaka Nakauchi, Shinya Yamanaka

Erratum issuedAbstract read
In one paragraph

Article in JMA journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Current Landscape of iPSC Haplobanks.Stem cell reviews and reports · 2024
    Review
  4. Overcoming the challenges of scalable iPSC generation in translation medicine.Journal of the Chinese Medical Association : JCMA · 2024
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. The Challenge of Bringing iPSCs to the Patient.International journal of molecular sciences · 2019
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Peter KaragiannisCenter for iPS Cell Research and Application, Kyoto University, Kyoto, Japan.
Ayaka NakauchiCenter for iPS Cell Research and Application, Kyoto University, Kyoto, Japan.
Shinya YamanakaCenter for iPS Cell Research and Application, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Induced pluripotent stem cells (iPSCs) describe somatic cells that have been reprogrammed to the pluripotent state. From a scientific perspective, their discovery has provided a molecular roadmap for turning on and off cell identities, effectively allowing any cell type to have its identity changed into any other cell type. They also act as a human model for understanding the development of every cell and organ in the body. In addition, because they can be prepared from patients, iPSCs offer a unique human model for studying disease development, including many diseases that are generally diagnosed at a late stage of their development. These models have provided new insights on the pathogenesis and new targets to prevent or reverse the disease development process. Indeed, clinical studies on compounds based on drug screening hits in human iPSC disease models have begun. Because of their proliferation and differentiation capacity, iPSCs can also be used to prepare cells for transplantations, and related clinical studies using iPSC-based cell therapies are ongoing. The combination of iPSCs with other technologies or therapeutic strategies is expected to expand their medical benefits. In this review, we consider medical accomplishments based on iPSC research and future ones that can be anticipated.

Indexed as

cell reprogrammingdrug discoveryinduced pluripotent stem cellsregenerative medicine

Identifiers

PMID33748517
PMCPMC7969850

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.