Evidence map›Paper›PMID 32376986›Full record

ReviewNature reviews. Endocrinology2020

New insights into K

Tanadet Pipatpolkai, Samuel Usher, Phillip J Stansfeld, Frances M Ashcroft

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
17.6field-weighted citation impact, top 1% 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

72 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Paradoxical glycemia in an adult withJCEM case reports · 2026
    Article
  4. Article
  5. Review
  6. Inhibition Mechanism of Pancreatic KResearch (Washington, D.C.) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Integrating causal human genetics andFrontiers in molecular biosciences · 2025
    Article
  11. Case Report:Frontiers in endocrinology · 2025
    Article
  12. Article
  13. Article
  14. Dynamic duo: Kir6 and SUR in KChannels (Austin, Tex.) · 2024
    Review
  15. Neonatal diabetes mellitus around the world: Update 2024.Journal of diabetes investigation · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Structure of an open KNature communications · 2024
    Article

12 more citing papers are in PubMed but not listed here.

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.

Tanadet PipatpolkaiDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.
Samuel UsherDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-2487-6547
Phillip J StansfeldDepartment of Biochemistry, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-8800-7669
Frances M AshcroftDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK. frances.ashcroft@dpag.ox.ac.uk.ORCID http://orcid.org/0000-0002-6970-1767
University of Oxford · GBUniversity of Warwick · GB

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council MR/T002107/1Wellcome Trust
6 · The paper itself

Abstract

The ATP-sensitive potassium channel (K

Indexed as

MutationAnimalsDiabetes MellitusHumansInfant, NewbornInfant, Newborn, DiseasesInsulin SecretionKATP ChannelsKcnj11 ChannelPotassium Channels, Inwardly RectifyingSulfonylurea CompoundsSulfonylurea ReceptorsABCC8 protein, humanKATP ChannelsKcnj11 ChannelPotassium Channels, Inwardly RectifyingSulfonylurea CompoundsSulfonylurea Receptors

Identifiers

PMID32376986
OpenAlexW3022130002

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.