Evidence map›Paper›PMID 40225541›Full record

ReviewCureus2025

Double Diabetes: A Converging Metabolic and Autoimmune Disorder Redefining the Classification and Management of Diabetes.

Raj K Chaudhary, Obaid Ali, Amrendra Kumar, Abilesh Kumar, Anjum Pervez

Abstract readReview
In one paragraph

Review in Cureus, 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. Review
  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

5 authors.

Raj K ChaudharyDepartment of Medicine, Jawaharlal Nehru Medical College, Bhagalpur, IND.
Obaid AliDepartment of Medicine, Jawaharlal Nehru Medical College, Bhagalpur, IND.
Amrendra KumarDepartment of Medicine, Jawaharlal Nehru Medical College, Bhagalpur, IND.
Abilesh KumarDepartment of Medicine, Jawaharlal Nehru Medical College, Bhagalpur, IND.
Anjum PervezDepartment of Medicine, Jawaharlal Nehru Medical College, Bhagalpur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review explores the pathophysiology, clinical implications, and management of double diabetes. The increasing prevalence of obesity, sedentary lifestyles, and genetic predisposition has blurred the difference between type 1 and type 2 diabetes, leading to diagnostic and therapeutic challenges. Double diabetes presents with overlapping symptoms from both diabetes types, making accurate diagnosis crucial. Biomarkers, such as C-peptide levels, autoantibody testing, and insulin resistance markers, help differentiate double diabetes from classic diabetes subtypes. Early intervention is necessary because of the condition's elevated risk of microvascular and macrovascular consequences, such as retinopathy, nephropathy, and cardiovascular disease. Effective management integrates pharmacological and lifestyle approaches. Metformin, sodium-glucose cotransporter 2 (SGLT2) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and insulin therapy adjustments all boost glycemic control and metabolic results. Additionally, structured exercise, dietary modifications, and weight management are essential for reducing insulin resistance and preserving beta-cell activity. The potential of precision medicine, artificial intelligence (AI)-driven healthcare, and continuous glucose monitoring (CGM) offers promising advancements for personalized treatment strategies. Future research should focus on targeted immunotherapies, genetic profiling, and refined clinical guidelines to improve early detection and individualized treatment, with long-term outcomes. The review emphasizes the need for a multidisciplinary approach in managing double diabetes, ensuring early diagnosis, optimized treatment, and improved metabolic health to mitigate long-term complications.

Indexed as

autoimmune dysfunctionbeta-cell dysfunctiondouble diabetesinsulin resistancemetabolic syndromeprecision medicine

Identifiers

PMID40225541
PMCPMC11992394

What OpenQuestion holds

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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.