Evidence map›Paper›PMID 23736002›Full record

ReviewActa pharmacologica Sinica2013

Progress and prospects in stem cell therapy.

Xiu-ling Xu, Fei Yi, Hui-ze Pan, Shun-lei Duan, Zhi-chao Ding, Guo-hong Yuan, Jing Qu, Hai-chen Zhang, Guang-hui Liu

Open access · hybridAbstract readComparative StudyReview
In one paragraph

Review in Acta pharmacologica Sinica, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Pathological Roles of Reactive Oxygen Species in Male Reproduction.Advances in experimental medicine and biology · 2022
    Article
  8. When is it Safe to Edit the Human Germline?Science and engineering ethics · 2021
    Article
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  11. Review
  12. Review
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  15. Article
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  18. Review
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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

9 authors at 3 institutions in 2 countries.

Xiu-ling XuNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Fei Yi
Hui-ze Pan
Shun-lei Duan
Zhi-chao Ding
Guo-hong Yuan
Jing Qu
Hai-chen Zhang
Guang-hui Liu
Chinese Academy of Sciences · CNInstitute of Biophysics · CNStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past few years, progress being made in stem cell studies has incontestably led to the hope of developing cell replacement based therapy for diseases deficient in effective treatment by conventional ways. The induced pluripotent stem cells (iPSCs) are of great interest of cell therapy research because of their unrestricted self-renewal and differentiation potentials. Proof of principle studies have successfully demonstrated that iPSCs technology would substantially benefit clinical studies in various areas, including neurological disorders, hematologic diseases, cardiac diseases, liver diseases and etc. On top of this, latest advances of gene editing technologies have vigorously endorsed the possibility of obtaining disease-free autologous cells from patient specific iPSCs. Here in this review, we summarize current progress of stem cell therapy research with special enthusiasm in iPSCs studies. In addition, we compare current gene editing technologies and discuss their potential implications in clinic application in the future.

Indexed as

AnimalsBiomedical TechnologyCell DifferentiationGene TargetingHumansInduced Pluripotent Stem CellsStem Cell ResearchStem Cell Transplantation

Identifiers

PMID23736002
PMCPMC3674518
OpenAlexW2040999503

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.