Evidence map›Paper›PMID 35509365›Full record

ReviewAvicenna journal of medical biotechnology

Non-gynaecological Applications of Menstrual-derived Stem Cells: A Systematic Review.

Claire Galea, Nicoletta Riva, Jean Calleja-Agius

Open access · greenAbstract readReview
In one paragraph

Review in Avicenna journal of medical biotechnology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Claire GaleaDepartment of Anatomy, Faculty of Medicine and Surgery, University of Malta, Msida, Malta.
Nicoletta RivaDepartment of Anatomy, Faculty of Medicine and Surgery, University of Malta, Msida, Malta.
Jean Calleja-AgiusDepartment of Anatomy, Faculty of Medicine and Surgery, University of Malta, Msida, Malta.
University of Malta · MT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Menstrual-derived Stem Cells (MenSC) are a potential novel source of mesenchymal stem cells. There is an increased interest in investigating the therapeutic potential of MenSC due to the various advantages they exhibit, when compared to other types of stem cells. MenSC are obtained non-invasively from menstrual blood. Thus, collection of MenSC is simple, reproducible and can be carried out periodically, with minimal complications. MenSC are present in abundance, are highly proliferative, exhibit a low immunogenicity and lack ethical issues. MenSC have shown the ability to differentiate into several lineages. The therapeutic potential of MenSC in non-gynaecological applications has been investigated in wound healing, neurological, musculo-skeletal, cardiovascular, respiratory, and liver disorders, as well as in diabetes and cancer. Human clinical trials are limited. To date, therapeutic efficacy and safety have been reported in patients with Avian influenza A subtype H7N9, COVID-19, congestive heart failure, multiple sclerosis and Duchene muscular dystrophy. However, further clinical trials in humans should be conducted, to study the long-term therapeutic effects of these stem cells in various diseases and to further explore their mechanism of action. This systematic review focuses on the application of MenSC in non-gynaecological diseases.

Indexed as

Cell therapyMenstruationMesenchymal stem cellsRegenerative medicineStem cells

Identifiers

PMID35509365
PMCPMC9017471
OpenAlexW4206340420

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.