Evidence map›Paper›PMID 27123495›Full record

ArticleJournal of stem cell research and transplantation

Adult Stem Cells and Diabetes Therapy.

Handenur Ilgun, Joseph William Kim, LuGuang Luo

Open access · greenAbstract read
In one paragraph

Article in Journal of stem cell research and transplantation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Metabolomics and Cell Therapy in Diabetes Mellitus.International journal of molecular and cellular medicine · 2019
    Review
  3. Review
  4. Review
  5. 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 2 institutions in 1 country.

Handenur IlgunDepartment of Internal Medicine, Roger Williams Hospital, Boston University School of Medicine, Providence, RI, USA; Sifa University School of Medicine, Izmir, Turkey.
Joseph William KimDepartment of Internal Medicine, Roger Williams Hospital, Boston University School of Medicine, Providence, RI, USA.
LuGuang LuoDepartment of Internal Medicine, Roger Williams Hospital, Boston University School of Medicine, Providence, RI, USA.
Boston University · USProvidence College · US

Funding

WATER CHANNEL AQUAPORIN-3 IN BM-DERIVED EPIDERMAL CELLS PLAY ROLE WOUND HEALINGP20RR018757 · NCRR · ROGER WILLIAMS HOSPITAL · PI BOYD, ASHLEIGH · 2003 to 2011
$22.5M
A Bioengineering Approach to Create Immunorejection Free Human Pancreatic IsletsR01DK097380 · NIDDK · ROGER WILLIAMS MEDICAL CENTER · PI LUO, LUGUANG · 2013 to 2015
$1.2M
NCRR NIH HHS P20 RR018757NIDDK NIH HHS R01 DK097380
6 · The paper itself

Abstract

The World Health Organization estimates that diabetes will be the fourth most prevalent disease by 2050. Developing a new therapy for diabetes is a challenge for researchers and clinicians in field. Many medications are being used for treatment of diabetes however with no conclusive and effective results therefore alternative therapies are required. Stem cell therapy is a promising tool for diabetes therapy, and it has involved embryonic stem cells, adult stem cells, and pluripotent stem cells. In this review, we focus on adult stem cells, especial human bone marrow stem cells (BM) for diabetes therapy, its history, and current development. We discuss prospects for future diabetes therapy such as induced pluripotent stem cells which have popularity in stem cell research area.

Indexed as

Bone marrowDiabetesInduced pluripotent stem cellsIslet β-cellStem cell therapy

Identifiers

PMID27123495
PMCPMC4844026
OpenAlexW2461203479

What OpenQuestion holds

Textmetadata
LicenceTDM
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.