Evidence map›Paper›PMID 25643653›Full record

ReviewDiabetologia2015

A survival Kit for pancreatic beta cells: stem cell factor and c-Kit receptor tyrosine kinase.

Zhi-Chao Feng, Matthew Riopel, Alex Popell, Rennian Wang

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Diabetologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-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

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. FermentedMolecules (Basel, Switzerland) · 2023
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Cancers · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Phenotypic changes of interstitial cells of Cajal after intestinal obstruction in rat model.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2019
    Article
  16. Review
  17. Article
  18. Review
  19. 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.

Zhi-Chao FengChildren's Health Research Institute, Victoria Research Laboratories, Room A5-140, 800 Commissioners Road East, London, ON, Canada, N6C 2V5.
Matthew Riopel
Alex Popell
Rennian Wang
Children’s Health Research Institute · CAWestern University · CA

Funding

Canadian Institutes of Health Research MOP 89800
6 · The paper itself

Abstract

The interactions between c-Kit and its ligand, stem cell factor (SCF), play an important role in haematopoiesis, pigmentation and gametogenesis. c-Kit is also found in the pancreas, and recent studies have revealed that c-Kit marks a subpopulation of highly proliferative pancreatic endocrine cells that may harbour islet precursors. c-Kit governs and maintains pancreatic endocrine cell maturation and function via multiple signalling pathways. In this review we address the importance of c-Kit signalling within the pancreas, including its profound role in islet morphogenesis, islet vascularisation, and beta cell survival and function. We also discuss the impact of c-Kit signalling in pancreatic disease and the use of c-Kit as a potential target for the development of cell-based and novel drug therapies in the treatment of diabetes.

Indexed as

Signal TransductionAnimalsCell SurvivalDiabetes MellitusHumansHypoglycemic AgentsInsulin-Secreting CellsIslets of LangerhansMolecular Targeted TherapyPhenotypeProto-Oncogene Proteins c-kitStem Cell FactorHypoglycemic AgentsProto-Oncogene Proteins c-kitStem Cell Factor

Identifiers

PMID25643653
OpenAlexW2055180573

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.