Evidence map›Paper›PMID 41942880›Full record

ArticleBMC nephrology2026

Urinary IL-18 predicts progression of IgA nephropathy.

Yuhong Tang, Xiaolei Tao, ChunLin Huang, Siyuan Teng, Xin Lin, Jianwei Tian, Yating Liao, Jing Mei, Jun Ou

Abstract readMulticenter Study
In one paragraph

Article in BMC nephrology, 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

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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. Review
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yuhong Tang *Division of Nephrology, The First Affiliated Hospital of Guilin Medical University, No.15 Lequn Road, Xiufeng District, Guilin, Guangxi, China.
Xiaolei Tao *Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney and Urological Diseases, Nanfang Hospital, Guangzhou, China.
ChunLin HuangDivision of Nephrology, The First Affiliated Hospital of Guilin Medical University, No.15 Lequn Road, Xiufeng District, Guilin, Guangxi, China.
Siyuan TengDivision of Nephrology, The Second Hospital of Dalian Medical University, Dalian, China.
Xin LinDepartment of Nephrology, Guizhou Provincial People's Hospital, Guiyang, China.
Jianwei TianDivision of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney and Urological Diseases, Nanfang Hospital, Guangzhou, China.
Yating LiaoDivision of Nephrology, The First Affiliated Hospital of Guilin Medical University, No.15 Lequn Road, Xiufeng District, Guilin, Guangxi, China.
Jing MeiDivision of Nephrology, The First Affiliated Hospital of Guilin Medical University, No.15 Lequn Road, Xiufeng District, Guilin, Guangxi, China.
Jun OuDivision of Nephrology, The First Affiliated Hospital of Guilin Medical University, No.15 Lequn Road, Xiufeng District, Guilin, Guangxi, China. oj2345oj@163.com.

Funding

Guilin Science and Technology Project 20220139-7-2Science and Technology Projects in Guangzhou 2023A04J2312
6 · The paper itself

Abstract

backgroundThere is currently a lack of noninvasive biomarkers that effectively predict the progression of IgA nephropathy. We investigated the value of urinary IL-18 in predicting the progression of IgA nephropathy and whether its combination with clinical variables improved risk prediction.

methodsA total of 136 patients with IgA nephropathy were followed up for a median of 36 months in four academic medical centers. The levels of three biomarkers, urinary IL-18, urinary KIM-1 and urinary NGAL, were measured via ELISA in patients with 136 IgA nephropathy. The progression of IgA nephropathy was defined as a > 50% decrease in the eGFR or end-stage kidney disease. Multivariate Cox regression analyses of urine biomarkers for predicting the progression of IgA nephropathy were performed, and the AUCs of the clinical prediction models were calculated.

resultsKaplan-Meier analysis revealed that high levels (> 28.1 pg/mg of creatinine) of urinary IL-18 were associated with a significantly poor renal outcome (P < 0.01), and Cox analysis further confirmed this result. High levels of urinary IL-18 were associated with a 4.7-fold greater risk for IgA nephropathy progression in adjusted analyses. For predicting IgA nephropathy progression, urinary IL-18 yielded a C-statistic of 0.77 (95% CI, 0.67-0.86), renal injury molecule 1 yielded 0.75 (95% CI, 0.65-0.86), and uNGAL yielded 0.70 (95% CI, 0.59-0.80). Urinary IL-18 levels significantly improved the C statistic from 0.77 to 0.89, outperforming the clinical and MEST-C scores.

conclusionUrinary IL-18 is a significant predictor of poor renal outcomes and improves the risk prediction of IgA nephropathy.

Indexed as

Disease ProgressionGlomerulonephritis, IGAInterleukin-18AdultBiomarkersFemaleHepatitis A Virus Cellular Receptor 1HumansLipocalin-2MaleMiddle AgedPredictive Value of TestsBiomarkersHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1IL18 protein, humanInterleukin-18Lipocalin-2BiomarkerIgA nephropathyInterleukin-18 (IL-18)PrognosisRisk prediction

Identifiers

PMID41942880
PMCPMC13181966

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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.