Evidence map›Paper›PMID 42396140›Full record

ReviewFrontiers in medicine2026

Beyond clinical criteria: emerging biomarkers and advanced imaging in the diagnosis, monitoring and treatment of vasculitides.

Matteo Colina

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Matteo ColinaRheumatology Service, Section of Internal Medicine, Department of Medicine and Oncology, Ospedale Santa Maria della Scaletta, Imola, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vasculitides represent a heterogeneous group of immune-mediated diseases characterized by inflammation of blood vessel walls, leading to variable degrees of ischemic injury across multiple organ systems. Despite significant advances in classification-notably the 2022 ACR/EULAR criteria-the clinical management of vasculitis remains challenging, particularly with regard to accurate diagnosis, assessment of disease activity, prediction of relapse, and monitoring of treatment response. Traditional clinical and laboratory markers, including erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), lack specificity and are often insufficient for guiding individualized therapeutic decisions. In recent years, a new generation of biomarkers has emerged, encompassing serological proteins, urinary markers, cytokines, endothelial activation molecules, and exploratory multi-omic signatures. In parallel, advanced imaging modalities-including 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT), high-resolution vessel wall magnetic resonance imaging (VW-MRI), vascular ultrasound, and magnetic resonance angiography (MRA)-have substantially expanded our ability to visualize vascular inflammation with unprecedented anatomical and functional detail. This narrative review synthesizes current evidence on the most relevant biomarkers and imaging techniques across the principal vasculitic syndromes, including anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitides (AAV), giant cell arteritis (GCA), Takayasu arteritis (TAK), and other major forms. We discuss the diagnostic and prognostic value of each approach, explore the emerging concept of integrated biomarker-imaging strategies, and identify key unmet needs and future research directions in the field.

Indexed as

ANCAbiomarkersdisease activitygiant cell arteritisimagingPET/CTrelapse predictionTakayasu arteritis

Identifiers

PMID42396140
PMCPMC13322883

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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 OpenQuestion graph.