Evidence mapPaperPMID 41299548Full record

ReviewDiabetology & metabolic syndrome2025

Lean type 2 diabetes: the overlooked epidemic reshaping global health.

Vinay Singh

Abstract readReview
In one paragraph

Review in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

1 author.

Vinay SinghDepartment of Medicine, Maulana Azad Medical College, New Delhi, India. singhvinay001@gmail.com.ORCID http://orcid.org/0000-0002-9879-1087

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lean type 2 diabetes mellitus an overlooked epidemic emerges as a distinct clinical entity affecting individuals who maintain normal body mass index according to population-adjusted criteria, yet develop diabetes through pathways independent of obesity. This phenotype accounts for 3-8% of global diabetes cases but demonstrates striking regional clustering, with substantially elevated rates across South Asian, Sub-Saharan African, and Caribbean populations. The epidemic's defining characteristics centre on predominant pancreatic β-cell failure rather than classical insulin resistance mechanisms. Affected individuals exhibit compromised insulin production capacity and altered adipose tissue distribution while maintaining seemingly healthy body weights. Paradoxically, clinical outcomes often prove more severe than obesity-associated diabetes, with earlier disease onset and accelerated progression to major complications including cardiovascular disease, nephropathy, and retinopathy. Current healthcare frameworks systematically fail this population through obesity-focused screening algorithms that overlook lean individuals at risk. Diagnostic delays compound the problem, while conventional treatment protocols emphasizing weight reduction prove not only ineffective but potentially harmful. The epidemic remains largely invisible within existing clinical guidelines and public health strategies. This review synthesizes evidence on lean diabetes and T2DM heterogeneity. Observational studies support population-specific risk assessment and β-cell preservation strategies, yet proposed mechanistic distinctions rely on BMI categories rather than standardized measurements of β-cell function or insulin sensitivity. These expert consensus recommendations require randomized trial validation before guideline incorporation. Treatment algorithms should be guided by mechanistic characterization, not BMI alone. Implementation requires consensus measurement thresholds and validation that treatment responses differ by mechanistic phenotype. Systematic investigation may reduce diagnostic delays and advance health equity in vulnerable populations, though clinical implementation depends on generating rigorous controlled trial evidence.

Indexed as

Health equityLean diabetesPopulation-specific thresholdsPrecision medicineΒ-cell dysfunction

Identifiers

PMID41299548
PMCPMC12659631

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.