Evidence mapPaperPMID 37337007Full record

ReviewNature reviews. Endocrinology2023

Heterogeneity and endotypes in type 1 diabetes mellitus.

Maria J Redondo, Noel G Morgan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 1 pooled it
45.4field-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

88 citing papers in PubMed, 1 synthesis or guideline pooled it, 145 citations in OpenAlex.

  1. Guideline
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  11. Predictive Autoantibodies Before the Diagnosis of Type I Diabetes in Adults.medRxiv : the preprint server for health sciences · 2026
    Article
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  14. Review
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28 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

2 authors at 2 institutions in 2 countries.

Maria J RedondoPaediatric Diabetes & Endocrinology, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA. redondo@bcm.edu.ORCID http://orcid.org/0000-0001-5871-4645
Noel G MorganExeter Centre of Excellence for Diabetes Research (EXCEED), Department of Clinical and Biomedical and Science, University of Exeter Medical School, Exeter, UK.ORCID http://orcid.org/0000-0003-1537-8113
Baylor College of Medicine · USUniversity of Exeter · GB

Funding

RARE and Atypical Diabetes Network(RADIANT)U54DK118638 · NIDDK · BAYLOR COLLEGE OF MEDICINE · 2022 to 2025
$8.8M
Type 1 diabetes genetic risk scores for the diagnosis of diabetes type in children of diverse racial and ethnic backgroundR01DK124395 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Maria Jose Redondo · 2023 to 2024
$1.2M
NIDDK NIH HHS R01 DK124395NIDDK NIH HHS U54 DK118638
6 · The paper itself

Abstract

Despite major advances over the past decade, prevention and treatment of type 1 diabetes mellitus (T1DM) remain suboptimal, with large and unexplained variations in individual responses to interventions. The current classification schema for diabetes mellitus does not capture the complexity of this disease or guide clinical management effectively. One of the approaches to achieve the goal of applying precision medicine in diabetes mellitus is to identify endotypes (that is, well-defined subtypes) of the disease each of which has a distinct aetiopathogenesis that might be amenable to specific interventions. Here, we describe epidemiological, clinical, genetic, immunological, histological and metabolic differences within T1DM that, together, suggest heterogeneity in its aetiology and pathogenesis. We then present the emerging endotypes and their impact on T1DM prediction, prevention and treatment.

Indexed as

Diabetes Mellitus, Type 1Humans

Identifiers

PMID37337007
OpenAlexW4381164152

What Socratic 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 Socratic graph.