Evidence mapPaperPMID 41958879Full record

SynthesisFrontiers in endocrinology2026

The diagnostic value of immune-inflammatory markers for diabetic kidney disease in type 2 diabetic patients: a meta-analysis.

Yan Wang, Xiaohua Liu, Zhenwen Xiao

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yan Wang *Clinical Laboratory Department, Jinan Third People's Hospital, Jinan, Shandong, China.
Xiaohua Liu *Clinical Laboratory Department, Jinan Third People's Hospital, Jinan, Shandong, China.
Zhenwen XiaoDepartment of Nephrology, Jinan Third People's Hospital, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diabetic kidney disease (DKD) constitutes a chronic renal condition arising from type 2 diabetes mellitus after excluding other causes. Immune-inflammatory responses are pivotal in the pathogenesis of DKD, and related biomarkers may be diagnostic targets. Methods: The current meta-analysis appraises the diagnostic value of common immune-inflammatory indicators-red blood cell distribution width (RDW), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), and systemic inflammation response index (SIRI)-for early and established DKD. Results: We systematically retrieved the Cochrane Library, Embase, PubMed, Web of Science, CNKI, CBM, VIP, and Wanfang databases up to October 11, 2025. The QUADAS-2 tool was applied to evaluate study quality. Meta-analyses were implemented employing Stata 16.0, RevMan 5.3, and MetaDisc 1.4. Conclusion: Thirty-two eligible investigations were incorporated: 11 on early DKD(649 subjects) and 21 on DKD(9,120 subjects). The meta-analysis yielded pooled diagnostic performance metrics. For early DKD, PLR showed a sensitivity of 0.74 (95% CI: 0.65-0.81), specificity of 0.69(0.54-0.81), and AUC of 0.78(0.74-0.81). For established DKD, SII demonstrated a sensitivity of 0.68(0.59-0.75), specificity of 0.64 (0.54-0.72), and an AUC of 0.71(0.67-0.74). PLR, MLR, MPV, and RDW exhibited low to moderate diagnostic accuracy for both stages (AUC range: 0.68-0.74). Common immune-inflammatory markers have diagnostic value for early and established DKD. Among them, PLR offers moderate diagnostic accuracy for early DKD, while SII performs relatively better for diagnosing DKD. These findings should be verified through future high-quality studies due to limitations of eligible research. Systematic review registration: https://www.crd.york.ac.uk/prospero/, Identifier CRD420251174942.

Indexed as

BiomarkersDiabetes Mellitus, Type 2Diabetic NephropathiesInflammationHumansBiomarkersdiabetic nephropathiesearly diabetic nephropathymean platelet volumemeta-analysismonocyte-to-lymphocyte ratioplatelet-to-lymphocyte ratiored blood cell distribution widthsystemic immune-inflammation index

Identifiers

PMID41958879
PMCPMC13056621

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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 Socratic graph.