Evidence map›Paper›PMID 41646563›Full record

ReviewCureus2026

Non-diabetic Kidney Disease in Type 2 Diabetes: From Kidney Biopsy to Precision Medicine.

Sreenath Sreedharan, Mohandas M K, Vismaya K B, Nikhil Raju

Abstract readReview
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Sreenath SreedharanNephrology, Government Medical College, Thiruvananthapuram, IND.
Mohandas M KNephrology, Government Medical College, Thiruvananthapuram, IND.
Vismaya K BUrology, Government Medical College, Thiruvananthapuram, IND.
Nikhil RajuNephrology, Government Medical College, Thiruvananthapuram, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-diabetic kidney disease (NDKD) is increasingly recognized as a significant and often underappreciated problem in people with type 2 diabetes mellitus (T2DM), accounting for a substantial proportion of kidney abnormalities identified through biopsy. Recent evidence shows that many patients do not have purely diabetic kidney changes; instead, a large share have non-diabetic or mixed pathologies. These findings challenge the long-standing assumption that kidney disease in diabetes is always due to diabetic nephropathy. This narrative review synthesizes current evidence on the prevalence, clinical predictors, diagnostic tools, and therapeutic strategies for NDKD in T2DM, with a focus on combining renoprotective therapy with disease-specific immunomodulation. We reviewed PubMed, EMBASE, and Scopus (January 2020-December 2024), including systematic reviews, meta-analyses, randomized controlled trials, cohort studies, and clinical guidelines, addressing NDKD in diabetes. NDKD shows substantial geographic variation. IgA nephropathy (IgAN) is most common in Asian cohorts (25%-43%), whereas membranous nephropathy (MN, 20%-30%) and focal segmental glomerulosclerosis (FSGS, 18%-25%) predominate in Western populations. Key clinical predictors include the absence of diabetic retinopathy (odds ratio (OR) 0.15, 95% confidence interval (CI) 0.09-0.26 for DKD), diabetes duration under five years (OR 5.8, 95% CI 3.2-10.5 for NDKD), hematuria (OR 7.2, 95% CI 4.1-12.6), and rapid estimated glomerular filtration rate (eGFR) decline greater than 5 mL/min/1.73 m² per year (OR 4.3, 95% CI 2.8-6.7). Prediction models report areas under the curve (AUC) of 0.82-0.89. Emerging tools, including urinary proteomic panels (AUC 0.88-0.91) and artificial intelligence (AI)-assisted histopathology (AUC 0.91), are promising but do not replace kidney biopsy. Renoprotective therapies remain essential. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) show hazard ratios (HR) of 0.61-0.72 for kidney outcomes; glucagon-like peptide-1 receptor agonists (GLP-1 RA) around 0.76; and mineralocorticoid receptor antagonists (MRA) about 0.82. Disease-specific immunomodulation is equally important, including rituximab for MN (HR 3.82, 95% CI 2.42-6.02) and complement-targeting therapies for IgAN. NDKD requires integrated management that combines standard renoprotection (SGLT2i, renin-angiotensin system (RAS) blockade, GLP-1 RA, MRA) with histology-guided immunosuppression. Kidney biopsy should be pursued when results are expected to change management decisions. Overall, NDKD affects one-third to one-half of patients with T2DM and kidney disease. Early recognition, maintaining clinical suspicion in patients with atypical features, appropriate biopsy use, and tailored treatment strategies are essential to improving outcomes.

Indexed as

diabetic kidney diseaseglomerulonephritisnon-diabetic kidney diseaserenal biopsytype 2 diabetes mellitus

Identifiers

PMID41646563
PMCPMC12869812

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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.