Evidence map›Paper›PMID 30223606›Full record

ReviewInternational journal of molecular sciences2018

Mesenchymal Stem Cells as New Therapeutic Approach for Diabetes and Pancreatic Disorders.

Arianna Scuteri, Marianna Monfrini

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  12. Metabolomics and Cell Therapy in Diabetes Mellitus.International journal of molecular and cellular medicine · 2019
    Review
  13. Article
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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

2 authors at 1 institution in 1 country.

Arianna ScuteriExperimental Neurology Unit and Milan Center for Neuroscience, School of Medicine and Surgery, University Milano-Bicocca, Via Cadore 48, 20900 Monza, Italy. arianna.scuteri@unimib.it.ORCID 0000-0003-0240-313X
Marianna MonfriniExperimental Neurology Unit and Milan Center for Neuroscience, School of Medicine and Surgery, University Milano-Bicocca, Via Cadore 48, 20900 Monza, Italy. marianna.monfrini@unimib.it.
University of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a worldwide disease which actually includes different disorders related to glucose metabolism. According to different epidemiological studies, patients affected by diabetes present a higher risk to develop both acute and chronic pancreatitis, clinical situations which, in turn, increase the risk to develop pancreatic cancer. Current therapies are able to adjust insulin levels according to blood glucose peak, but they only partly reach the goal to abrogate the consequent inflammatory milieu responsible for diabetes-related diseases. In recent years, many studies have investigated the possible use of adult mesenchymal stem cells (MSCs) as alternative therapeutic treatment for diabetes, with promising results due to the manifold properties of these cells. In this review we will critically analyze the many different uses of MSCs for both diabetes treatment and for the reduction of diabetes-related disease development, focusing on their putative molecular mechanisms.

Indexed as

Mesenchymal Stem Cell TransplantationAnimalsBiomarkersDiabetes MellitusHumansMesenchymal Stem CellsPancreatic DiseasesBiomarkersacute pancreatitischronic pancreatitisdiabetesmesenchymal stem cellspancreatic cancer

Identifiers

PMID30223606
PMCPMC6163453
OpenAlexW2891334454

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.