Evidence map›Paper›PMID 20173779›Full record

ReviewNature reviews. Endocrinology2010

Stem cell and gene therapies for diabetes mellitus.

Roy Y Calne, Shu Uin Gan, Kok Onn Lee

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Stem cell and gene therapies for leukodystrophies.Molecular therapy. Methods & clinical development · 2025
    Review
  2. Review
  3. Advanced Delivery Strategies for Immunotherapy in Type I Diabetes Mellitus.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2023
    Review
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  15. Stem cell therapy for diabetes.Indian journal of endocrinology and metabolism · 2012
    Article
  16. Reversal of diabetes through gene therapy of diabetic rats by hepatic insulin expression via lentiviral transduction.Molecular therapy : the journal of the American Society of Gene Therapy · 2012
    Article
  17. Review
  18. 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

3 authors at 2 institutions in 3 countries.

Roy Y CalneDepartment of Medicine, Strangeways Research Laboratory, 2 Wort's Causeway, Cambridge CB1 8RN, UK. calne@hermes.cam.ac.uk
Shu Uin Gan
Kok Onn Lee
Yong In University · KRPHG Foundation · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this Perspectives article, we comment on the progress in experimental stem cell and gene therapies that might one day become a clinical reality for the treatment of patients with diabetes mellitus. Research on the ability of human embryonic stem cells to differentiate into islet cells has defined the developmental stages and transcription factors involved in this process. However, the clinical applications of human embryonic stem cells are limited by ethical concerns, as well as the potential for teratoma formation. As a consequence, alternative forms of stem cell therapies, such as induced pluripotent stem cells and bone marrow-derived mesenchymal stem cells, have become an area of intense study. Finally, gene therapy shows some promise for the generation of insulin-producing cells. Here, we discuss two of the most frequently used approaches: in vitro gene delivery into cells which are then transplanted into the recipient and direct delivery of genes in vivo.

Indexed as

AnimalsDiabetes MellitusGenetic TherapyHumansStem Cell Transplantation

Identifiers

PMID20173779
OpenAlexW2038723246

What OpenQuestion holds

Textmetadata
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.