Evidence map›Paper›PMID 40166449›Full record

ReviewDiabetology international2025

Pathophysiological hallmarks in type 2 diabetes heterogeneity (review).

Dipamoy Datta, Raja Kundu, Rajdeep Basu, Partha Chakrabarti

Abstract readReview
In one paragraph

Review in Diabetology international, 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. Article
  4. Review
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.

Dipamoy DattaComputer Education Training Program, NICS Computer, Kolkata, 700032 India.
Raja KunduComputer Education Training Program, NICS Computer, Kolkata, 700032 India.
Rajdeep BasuDepartment of Endocrinology, Nil Ratan Sarkar Medical College, Kolkata, 700014 India.
Partha ChakrabartiDepartment of Cell Biology and Physiology, CSIR-Indian Institute of Chemical Biology, 4 Raja SC Mullick Road, Kolkata, 700032 India.ORCID 0000-0001-9502-8695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanistic complexity in type 2 diabetes (T2DM) is primarily responsible for the degrees of heterogeneity and development of complications. A complex mode of interactions between different pathophysiological events and diabetogenic environmental factors support for the genesis of diabetes heterogeneity both in phenotypic and clinical contexts. The currently used diabetes classification strategies suffer from several inconsistencies that cannot fully capture the inherent heterogeneity among the diabetes patients. To effectively address this pathobiological and heterogeneity-related issue in diabetes research, the current review proposes nine pathophysiological hallmarks of T2DM that aims to mechanistically explain complexities of diabetes associated pathophysiological events and their underlying features. These pathophysiological hallmarks are pancreatic beta cell dysfunction, insulin sensitivity, insulin resistance, obesity, aging, subclinical inflammation, metabolic dysregulation, prothrombotic state induction and hypertension. Detail knowledge of these pathophysiological hallmarks with their key molecular mediators, influencing factors, clinical biomarkers and clinical assessment methodologies will greatly support precision medicine approaches in diabetes including patient stratification, subtype diagnosis and treatment. Supplementary Information: The online version contains supplementary material available at 10.1007/s13340-024-00783-w.

Indexed as

Diabetes mellitus type 2 (T2DM)HeterogeneityInflammationInsulin resistancePathophysiological hallmarkPrecision medicine

Identifiers

PMID40166449
PMCPMC11954762

What OpenQuestion holds

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Registered trials

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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.