Evidence map›Paper›PMID 40100609›Full record

ArticleClinical rheumatology2025

Simplifying ANCA-associated vasculitis classification with ANCA specificity: a retrospective analysis.

Lina Zhang, Jing Zhang, Jing Xu, Qian Guo, Yadan Zou, Xuewu Zhang, Kuanting Wang, Lianjie Shi, Shengguang Li

Abstract read
In one paragraph

Article in Clinical rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

9 authors.

Lina Zhang *Department of Rheumatology and Immunology, Peking University International Hospital, 102206, Beijing, China.
Jing Zhang *Department of Rheumatology and Immunology, Peking University International Hospital, 102206, Beijing, China.
Jing XuDepartment of Rheumatology and Immunology, Peking University International Hospital, 102206, Beijing, China.
Qian GuoDepartment of Rheumatology and Immunology, Peking University International Hospital, 102206, Beijing, China.
Yadan ZouDepartment of Rheumatology and Immunology, Peking University International Hospital, 102206, Beijing, China.
Xuewu ZhangDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China.
Kuanting WangDepartment of Rheumatology and Immunology, Peking University Shougang Hospital, Beijing, China.
Lianjie ShiDepartment of Rheumatology and Immunology, Peking University Shougang Hospital, Beijing, China.
Shengguang LiDepartment of Rheumatology and Immunology, Peking University International Hospital, 102206, Beijing, China. lishengguang@vip.sina.com.ORCID http://orcid.org/0000-0002-8047-9984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to evaluate the utility of ANCA specificity as a primary criterion for classifying AAV subtypes to simplify the diagnostic process without compromising accuracy.

methodsA retrospective cohort study was conducted involving 310 patients diagnosed with AAV between January 2015 and December 2023 across three tertiary care centers affiliated with Peking University. Patients were reclassified using three methods: the European Medicines Agency (EMA) algorithm, the 2022 American College of Rheumatology/European Alliance of Associations for Rheumatology (ACR/EULAR) criteria, and ANCA specificity-based classification. Concordance between classification systems was assessed using Cohen's kappa coefficients.

resultsANCA specificity-based classification demonstrated substantial to almost perfect agreement with the 2022 ACR/EULAR criteria for MPA/MPO-AAV (kappa = 0.806) and GPA/PR3-AAV (kappa = 0.663). Many patients initially classified as GPA under the EMA algorithm were reclassified as MPA when using ANCA specificity. EGPA classification remained consistent across all methods (kappa = 0.725 between EMA and ACR/EULAR), suggesting that ANCA specificity is less critical for EGPA. The use of ANCA specificity simplified the classification process, aligning closely with the underlying pathophysiology of AAV subtypes.

conclusionANCA specificity serves as a valuable adjunct in the classification of AAV, particularly for distinguishing between MPA and GPA. Utilizing ANCA serotypes can simplify the diagnostic process, potentially facilitating earlier diagnosis and targeted treatment. For EGPA, traditional classification criteria remain effective. Incorporating ANCA specificity into clinical practice may enhance diagnostic accuracy and improve patient outcomes in AAV management. Key Points • ANCA-based classification aligns strongly with the 2022 ACR/EULAR criteria for MPA and GPA, providing a simplified diagnostic approach. • Adopting this approach can streamline the classification process, reduce invasive procedures, and enable earlier diagnosis while maintaining high concordance with established systems.

Indexed as

Antibodies, Antineutrophil CytoplasmicAnti-Neutrophil Cytoplasmic Antibody-Associated VasculitisAdultAgedAlgorithmsFemaleGranulomatosis with PolyangiitisHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityAntibodies, Antineutrophil Cytoplasmic2022 ACR/EULAR criteriaANCA-associated vasculitis (AAV)ANCA specificityClinical utilityDiagnostic classificationEMA algorithmKappa statisticsMPO-ANCAPR3-ANCA

Identifiers

PMID40100609
PMCPMC12078347

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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.