Evidence map›Paper›PMID 40989994›Full record

ArticleClinical kidney journal2025

Predicting prognosis in ANCA-associated vasculitis with kidney involvement.

Christian Maalouli, Selda Aydin, Alix Collard, Jean-Francois Cambier, Agnes Dejardin, Benoit Georges, Gaelle Gillerot, Benedicte Vanderperren, Ann-Karolien Vandooren, Michel Jadoul and 3 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2025. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

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

13 authors.

Christian MaalouliDivision of Nephrology, Centre Hospitaliser de Wallonie Picarde, Tournai, Belgium.
Selda AydinDepartment of Pathology, Cliniques universitaires Saint-Luc, Brussels, Belgium.
Alix CollardStatistical Support Unit, Cliniques universitaires Saint-Luc, Brussels, Belgium.
Jean-Francois CambierDepartment of Nephrology, Grand Hôpital de Charleroi, Gilly, Belgium.
Agnes DejardinDepartment of Nephrology, Cliniques de l'Europe, Brussels, Belgium.
Benoit GeorgesDepartment of Nephrology, Centre Hospitalier Régional Sambre et Meuse, Namur, Belgium.
Gaelle GillerotDepartment of Nephrology, Clinique Saint-Pierre, Ottignies, Belgium.
Benedicte VanderperrenDepartment of Nephrology, Centres Hospitaliers Universitaires HELORA, Jolimont, Belgium.
Ann-Karolien VandoorenDepartment of Nephrology, Centre Hospitalier de Mouscron, Mouscron, Belgium.
Michel JadoulInstitut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium.ORCID https://orcid.org/0000-0001-7369-7812
Johann MorelleDivsion of Nephrology, University Hospitals Namur (CHU UCL Namur), Namur, Belgium.ORCID https://orcid.org/0000-0002-6925-1989
Nathalie DemoulinDivision of Nephrology, Centre Hospitaliser de Wallonie Picarde, Tournai, Belgium.ORCID https://orcid.org/0000-0002-3566-3950
UCLouvain Kidney Disease Network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The ANCA Renal Risk Score was updated in 2023 to the ANCA Kidney Risk Score (AKRiS) to improve clinicopathological prognostication in patients with anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) and kidney involvement. Our study aimed to assess whether incorporating recently identified predictors of kidney survival in AAV could further refine the prognostic accuracy of AKRiS in our multicentric cohort. Methods: We retrospectively reviewed all incident AAV with kidney biopsy from 2005 to 2020. Cox regression analysis examined factors [AKRiS, dialysis within 4 weeks, urine protein-creatinine ratio (UPCR) and hematuria at baseline, C3 deposits, renal arteritis on biopsy, estimated glomerular filtration rate (eGFR), UPCR and hematuria after induction] associated with kidney failure. These factors in combination with AKRiS were analyzed using the area under the receiver operating characteristic curve (AUROC) for prediction of kidney failure. Results: The cohort included 115 patients (age 64 years, 55% male, 57% myeloperoxidase-ANCA, baseline creatinine 3.6 mg/dL, eGFR 16 mL/min/1.73 m Conclusion: Dialysis within 4 weeks, eGFR after induction and UPCR after induction are able to predict long-term kidney outcome in AAV patients. Adjusting AKRiS for these variables modestly enhances its predictive power. We propose using them as placeholder endpoints for kidney failure in future studies.

Indexed as

AKRiSANCA Renal Risk Scorepauci-immune necrotizing glomerulonephritis

Identifiers

PMID40989994
PMCPMC12451443

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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.