Evidence mapPaperPMID 40231339Full record

ReviewThe Journal of clinical endocrinology and metabolism2025

Phenotypic and Genetic Diversity in Diabetes Across Populations.

Aaron Jonathan Deutsch, Miriam Sargon Udler

Abstract readReview
In one paragraph

Review in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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.

Aaron Jonathan DeutschDiabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0001-6750-5335
Miriam Sargon UdlerDiabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0003-3824-9162

Funding

RADIANT Clinic and Data Coordinating CenterU54DK118612 · NIDDK · UNIVERSITY OF CHICAGO · 2022 to 2025
$8.2M
GEneration and assessment of Multi-omic informed Subtypes of Type 2 Diabetes in Diverse Populations (GEMS-T2D)U01DK140757 · MASSACHUSETTS GENERAL HOSPITAL · 2025 to 2025
$784k
Multi-Ancestry Genetic Analysis of Type 1 Diabetes and Related ConditionsK23DK140643 · MASSACHUSETTS GENERAL HOSPITAL · 2025 to 2025
$192k
NIDDK NIH HHS K23 DK140643NIDDK NIH HHS L30 DK106874NIDDK NIH HHS U01 DK140757NIDDK NIH HHS U54 DK118612NIH HHS 1K23DK140643NIH HHS 2022063NIH HHS U01DK140757NIH HHS U54DK118612
6 · The paper itself

Abstract

Diabetes mellitus is a heterogeneous condition with substantial clinical variability across global populations. The standard classification of type 1 and type 2 diabetes is primarily based on phenotypic characteristics in European-ancestry populations. However, diabetes exhibits diverse phenotypes in other populations, including a varied relationship between diabetes risk and body mass index. These differences may be partly attributable to genetic variation among populations. Understanding and leveraging this genetic variation can aid in the development of precision medicine approaches to diabetes diagnosis and treatment, ultimately helping to reduce health care disparities in diabetes among minoritized populations.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2Genetic VariationGenetic Predisposition to DiseaseHumansPhenotypeancestrydiabetes mellitusethnicitygeneticsheterogeneityrace

Identifiers

PMID40231339
PMCPMC12641533

What Socratic holds

Textmetadata
LicenceTDM
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.