Evidence map›Paper›PMID 34041238›Full record

ReviewFrontiers in cell and developmental biology2021

Therapeutic Potential of HUMSCs in Female Reproductive Aging.

Qiaojuan Mei, Hongbei Mou, Xuemei Liu, Wenpei Xiang

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

Review in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. 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 2 institutions in 1 country.

Qiaojuan MeiInstitute of Reproductive Health and Center for Reproductive Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hongbei MouInstitute of Reproductive Health and Center for Reproductive Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xuemei LiuReproductive Medicine Centre, Yantai Yuhuangding Hospital of Qingdao University, Shandong, China.
Wenpei XiangInstitute of Reproductive Health and Center for Reproductive Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huazhong University of Science and Technology · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of regenerative medicine, stem cells are being considered more frequently for the treatment of reproductive aging. Human umbilical cord mesenchymal stem cells have been reported to improve the reserve function of aging ovaries through their homing and paracrine effects. In this process, paracrine factors secreted by stem cells play an important role in ovarian recovery. Although the transplantation of human umbilical cord mesenchymal stem cells to improve ovarian function has been studied with great success in animal models of reproductive aging, their application in clinical research and therapy is still relatively rare. Therefore, this paper reviews the role of human umbilical cord mesenchymal stem cells in the treatment of reproductive aging and their related mechanisms, and it does so in order to provide a theoretical basis for further research and clinical treatment.

Indexed as

agingmesenchymal stem cellspremature ovarian failurereproductiontransplantation

Identifiers

PMID34041238
PMCPMC8143192
OpenAlexW3162570421

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.