Evidence map›Paper›PMID 40248589›Full record

ArticleJournal of inflammation research2025

The Aggregate Index of Systemic Inflammation (AISI) is a Novel IgA Nephropathy Prognosis Predictor.

Hong Liu, Guijing Tang, Danyan Yu, Peng Gu, Xingyu Zhu, Anni Wang, Yuan Yuan, Xue Jiang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

8 authors.

Hong Liu *Department of Nephrology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Guijing Tang *Department of Nephrology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Danyan YuDepartment of Nephrology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.ORCID 0009-0002-9191-8695
Peng GuDepartment of Nephrology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.ORCID 0009-0000-3392-6190
Xingyu ZhuDepartment of Nephrology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Anni WangDepartment of Nephrology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Yuan YuanDepartment of Nephrology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Xue JiangDepartment of Nephrology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.ORCID 0000-0001-9672-4377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Inflammation and immune factors are closely related to the development of IgA nephropathy (IgAN), and the aggregate index of systemic inflammation (AISI) has been identified as a prognostic indicator for various diseases lately. We aimed to evaluate its predictive value in IgAN. Patients and Methods: This retrospective single-center study included 1792 biopsy-confirmed IgAN patients from October 2019 to September 2023 with>12-month follow-up. The optimal cut-off value of AISI for renal poor outcome was identified by receiver operating characteristic curves (ROC). Cox regression analyses, Kaplan-Meier curves and restricted cubic splines were performed to determine the relationship between AISI and IgAN prognosis. The predictive value of AISI on IgAN prognosis was conducted by the area under the receiver operating characteristic curve (AUC). Results: A total of 1792 IgAN patients were included in the study and were divided into three groups (tertial 1-3) according to the baseline AISI. The higher AISI groups had worse clinicopathological features and renal survival showed by Kaplan-Meier analysis (Log-Rank=17.38, P<0.001). Multivariate Cox regression identified elevated AISI as an independent risk factor for renal prognosis in IgAN (adjusted HR:2.359,95% CI:1.365-4.078, P=0.002). Subgroup analysis highlighted significance in male, uric acid>420μmol/L, 24h proteinuria>3.5g, eGFR>30mL/min/1.73m², and the Oxford classification of renal pathology (MEST-C) T0-T1. The best cut-off AISI for renal survival was 198.78, sensitivity 70.0%, and specificity 51.4% (AUC:0.626). Patients were divided into a low AISI group (AISI≤198.78, n=894) and a high AISI group (AISI>198.78, n=898) according to AISI cut-off value and propensity matched. Multivariate Cox regression analysis revealed that a higher AISI was significantly associated with a poorer renal outcome of IgAN patients (HR:1.568,95% CI:1.007-2.442, P=0.046). Multivariate adjusted restricted cubic splines demonstrated a linear correlation between AISI and a poor renal prognosis (P for overall=0.0135, P for nonlinearity=0.773). Conclusion: AISI is a novel independent predictor of renal progression in IgAN patients.

Indexed as

IgA nephropathyprognosisrenal survivalthe aggregate index of systemic inflammation

Identifiers

PMID40248589
PMCPMC12005206

What Socratic holds

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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 Socratic graph.