SynthesisBioMed research international2020
Elevated Urinary Neutrophil Gelatinase-Associated Lipocalin Is a Biomarker for Lupus Nephritis: A Systematic Review and Meta-Analysis.
Synthesis in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Evaluation of clinical, histological and biomarker response after initial therapy of lupus nephritis.Lupus science & medicine · 2026Article
- Neutrophil gelatinase-associated lipocalin (NGAL) in lupus nephritis and beyond.Lupus science & medicine · 2025Article
- Lupus Nephritis Biomarkers: A Critical Review.International journal of molecular sciences · 2024Review
- Investigating the value of urinary biomarkers in relation to lupus nephritis histopathology: present insights and future prospects.Frontiers in pharmacology · 2024Review
- Fecal and Urinary Adipokines as Disease Biomarkers.Biomedicines · 2023Review
- Comparison urine neutrophil gelatinase - associated lipocalin with standard parameters in monitoring activity Lupus nephritis: Class IV.Journal of medical biochemistry · 2023Article
- Clinical study on the use of advanced magnetic resonance imaging in lupus nephritis.BMC medical imaging · 2022Article
- Current Insights on Biomarkers in Lupus Nephritis: A Systematic Review of the Literature.Journal of clinical medicine · 2022Review
- Diagnostic test accuracy of novel biomarkers for lupus nephritis-An overview of systematic reviews.PloS one · 2022Review
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveLupus nephritis (LN) is a major and severe complication of systemic lupus erythematosus (SLE). Neutrophil gelatinase-associated lipocalin (NGAL), as a promising next-generation biomarker in clinical nephrology, has received extensive attention. However, its diagnostic performance in LN has high variability. Therefore, we performed an updated meta-analysis to further evaluate the diagnostic accuracy of urinary NGAL (uNGAL). MATERIALS AND
methodsPubMed, Embase, and Cochrane Library were searched from inception to October 27, 2019. Meta-analysis was performed with a bivariate random effects model. Additionally, the summary receiver operating characteristic (SROC) curves were established. The sources of heterogeneity were explored by meta-regression, subgroup analysis, and sensitivity analysis. Publication bias was assessed using the Deeks test.
results19 articles consisting of 21 eligible studies were included. In diagnosing LN, the estimates (95% confidence interval (CI)) were as follows: sensitivity, 0.84 (0.71-0.91); specificity, 0.91 (0.70-0.98); and the SROC-AUC value, 0.92 (0.90-0.94). In identifying active LN, the estimates were as follows: sensitivity, 0.72 (0.56-0.84); specificity, 0.71 (0.51-0.84); and the AUC value, 0.77 (0.74-0.81). With respect to predicting renal flare, the estimates were as follows: sensitivity, 0.80 (0.57-0.92); specificity, 0.67 (0.58-0.75); and the AUC value, 0.74 (0.70-0.78). For the studies to distinguish proliferative LN, the estimates were as follows: sensitivity, 0.87 (0.66-0.97), and specificity, 0.69 (0.39-0.91). Deeks' funnel plot suggested that there was no significant publication bias.
conclusionsOur meta-analysis indicates that uNGAL was a useful biomarker for diagnosis, estimation of activity, and prediction of renal flare of LN. In addition, the usefulness of uNGAL to distinguish pathological types of LN needs to be further investigated.
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