Evidence map›Paper›PMID 25676261›Full record

ReviewClinical and experimental pharmacology & physiology2015

Insulin secretion from beta cells within intact islets: location matters.

Oanh Hoang Do, Peter Thorn

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical and experimental pharmacology & physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Emergence of microneedles as a potential therapeutics in diabetes mellitus.Environmental science and pollution research international · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Pathophysiology of Type 2 Diabetes Mellitus.International journal of molecular sciences · 2020
    Review
  16. Review
  17. Integrative medicine research · 2019
    Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Oanh Hoang DoSchool of Biomedical Sciences, University of Queensland, St Lucia, Brisbane, Qld, Australia.
Peter Thorn
University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The control of hormone secretion is central to body homeostasis, and its dysfunction is important in many diseases. The key cellular steps that lead to hormone secretion have been identified, and the stimulus-secretion pathway is understood in outline for many endocrine cells. In the case of insulin secretion from pancreatic beta cells, this pathway involves the uptake of glucose, cell depolarization, calcium entry, and the triggering of the fusion of insulin-containing granules with the cell membrane. The wealth of information on the control of insulin secretion has largely been obtained from isolated single-cell studies. However, physiologically, beta cells exist within the islets of Langerhans, with structural and functional specializations that are not preserved in single-cell cultures. This review focuses on recent work that is revealing distinct aspects of insulin secretion from beta cells within the islet.

Indexed as

Cellular MicroenvironmentAnimalsBlood GlucoseCell CommunicationGlucose Metabolism DisordersHomeostasisHumansInsulinInsulin-Secreting CellsInsulin SecretionIslets of LangerhansBlood GlucoseInsulinbeta cellscalciumdiabetesexocytosisinsulinisletssynapse

Identifiers

PMID25676261
PMCPMC4418378
OpenAlexW2031590207

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.