Meta-Analysis of Immune-Inflammatory Markers for Diabetic Kidney Disease

32 studies evaluate the diagnostic accuracy of six immune-inflammatory markers for diabetic kidney disease in type 2 diabetic patients. The analysis includes data from 649 subjects for early DKD and 9,120 subjects for established DKD. It reports pooled sensitivity, specificity, and AUC metrics for markers like PLR and SII.

Use Cases

• Compare the pooled sensitivity and specificity of PLR versus SII for diagnosing different stages of diabetic kidney disease.
• Analyze the diagnostic performance (AUC) range of 0.68–0.74 reported for markers like MLR, MPV, and RDW.
• Validate the finding that PLR offers moderate diagnostic accuracy for early DKD using the reported 0.78 AUC.
• Assess the relative diagnostic value of the systemic immune-inflammation index (SII) based on its 0.71 AUC for established DKD.

Strengths

• Aggregates results from 32 eligible investigations, providing a consolidated evidence base.
• Reports specific diagnostic metrics, including sensitivity, specificity, and AUC with 95% confidence intervals.
• Focuses on six defined immune-inflammatory markers: RDW, MLR, SII, PLR, MPV, and SIRI.

Limitations

• The underlying data is a summary from a meta-analysis; individual patient-level or study-level data is not provided.
• The analysis acknowledges limitations in the eligible research, suggesting findings require verification by future high-quality studies.
• The dataset scope is limited to the specific findings of one meta-analysis document (92.0 KB).

Provenance

Source

Systematic search of Cochrane Library, Embase, PubMed, Web of Science, CNKI, CBM, VIP, and Wanfang databases.

Collection Method

Meta-analysis conducted using Stata 16.0, RevMan 5.3, and MetaDisc 1.4; study quality assessed with QUADAS-2 tool.

Time Range

Studies retrieved up to October 11, 2025.

Freshness

Literature search was conducted up to October 11, 2025.