Evidence map›Paper›PMID 37712956›Full record

ReviewDiabetologia2023

Quantifying beta cell function in the preclinical stages of type 1 diabetes.

Alfonso Galderisi, Alice L J Carr, Mariangela Martino, Peter Taylor, Peter Senior, Colin Dayan

Erratum issuedOpen access · hybridAbstract readReview
In one paragraph

Review in Diabetologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. [Research progress and optimization strategies for early screening of type 1 diabetes].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. GαJournal of the Endocrine Society · 2024
    Article
  16. Endpoints for clinical trials in type 1 diabetes drug development.The lancet. Diabetes & endocrinology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Alfonso Galderisi *Department of Pediatrics, Yale University, New Haven, CT, USA.
Alice L J Carr *Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada.
Mariangela MartinoDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK.
Peter TaylorDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK.
Peter SeniorAlberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada.
Colin DayanDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK. DayanCM@cardiff.ac.uk.
Cardiff University · GBUniversity of Alberta · CAYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Pathogenesis of youth onset pre-diabetes and Type 2 diabetesR01DK111038 · NIDDK · YALE UNIVERSITY · PI CAPRIO, SONIA · 2016 to 2025
$7.0M
NCATS NIH HHS UL1 TR001863NIDDK NIH HHS R01 DK111038
6 · The paper itself

Abstract

Clinically symptomatic type 1 diabetes (stage 3 type 1 diabetes) is preceded by a pre-symptomatic phase, characterised by progressive loss of functional beta cell mass after the onset of islet autoimmunity, with (stage 2) or without (stage 1) measurable changes in glucose profile during an OGTT. Identifying metabolic tests that can longitudinally track changes in beta cell function is of pivotal importance to track disease progression and measure the effect of disease-modifying interventions. In this review we describe the metabolic changes that occur in the early pre-symptomatic stages of type 1 diabetes with respect to both insulin secretion and insulin sensitivity, as well as the measurable outcomes that can be derived from the available tests. We also discuss the use of metabolic modelling to identify insulin secretion and sensitivity, and the measurable changes during dynamic tests such as the OGTT. Finally, we review the role of risk indices and minimally invasive measures such as those derived from the use of continuous glucose monitoring.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Insulin ResistanceInsulin-Secreting CellsBlood GlucoseBlood Glucose Self-MonitoringGlucose Tolerance TestHumansInsulinBlood GlucoseInsulinDiabetes stagesMetabolic modellingOral glucose tolerance testOral minimal modelReviewStage 1 type 1 diabetesStage 2 type 1 diabetesType 1 diabetes

Identifiers

PMID37712956
PMCPMC10627950
OpenAlexW4386757931

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.