Evidence map›Paper›PMID 41117362›Full record

ReviewEuropean journal of clinical investigation2026

A matter arising: When should inflammatory and autoimmune rheumatic diseases be considered 'early'?

Elvis Hysa, Emanuele Gotelli, Carmen Pizzorni, Sabrina Paolino, Alberto Sulli, Vanessa Smith, Rosanna Campitiello, Maurizio Cutolo

Abstract readReview
In one paragraph

Review in European journal of clinical investigation, 2026. 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

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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

8 authors.

Elvis HysaLaboratory of Experimental Rheumatology and Academic Division of Clinical Rheumatology, Department of Internal Medicine (DiMI), University of Genova, Genoa, Italy.
Emanuele GotelliLaboratory of Experimental Rheumatology and Academic Division of Clinical Rheumatology, Department of Internal Medicine (DiMI), University of Genova, Genoa, Italy.
Carmen PizzorniLaboratory of Experimental Rheumatology and Academic Division of Clinical Rheumatology, Department of Internal Medicine (DiMI), University of Genova, Genoa, Italy.
Sabrina PaolinoLaboratory of Experimental Rheumatology and Academic Division of Clinical Rheumatology, Department of Internal Medicine (DiMI), University of Genova, Genoa, Italy.
Alberto SulliLaboratory of Experimental Rheumatology and Academic Division of Clinical Rheumatology, Department of Internal Medicine (DiMI), University of Genova, Genoa, Italy.
Vanessa SmithDepartment of Internal Medicine, Ghent University, Ghent, Belgium.ORCID https://orcid.org/0000-0001-6271-7945
Rosanna CampitielloLaboratory of Experimental Rheumatology and Academic Division of Clinical Rheumatology, Department of Internal Medicine (DiMI), University of Genova, Genoa, Italy.
Maurizio CutoloLaboratory of Experimental Rheumatology and Academic Division of Clinical Rheumatology, Department of Internal Medicine (DiMI), University of Genova, Genoa, Italy.ORCID https://orcid.org/0000-0002-5396-0932

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly diagnosis is pivotal for guiding the intensity of clinical monitoring, optimizing therapeutic strategies and preventing organ damage in inflammatory and autoimmune rheumatic diseases (IARDs). This review summarizes current evidence on early diagnostic and therapeutic approaches of some IARDs, including rheumatoid arthritis (RA), systemic sclerosis (SSc) and detection of large-vessel vasculitis (LVV) in polymyalgia rheumatica (PMR), representing distinct pathophysiological mechanisms of joint synovitis, tissue fibrosis and vasculitis, respectively.

methodsA comprehensive narrative literature review was conducted focusing on early recognition strategies, searching PubMed and Scopus databases with emphasis on studies from the past 5 years and recent EULAR/ACR conference abstracts (2023-2025).

resultsIn RA, clinically suspect arthralgia with seropositivity for rheumatoid factor and anti-citrullinated peptide antibodies significantly increases progression risk to definite RA. Musculoskeletal ultrasound detects subclinical synovitis in 44%-51% of high-risk individuals, while MRI identifies bone marrow edema predicting erosive progression. Abatacept significantly reduces RA development in seropositive individuals at high risk of RA. In SSc, Raynaud's phenomenon combined with SSc-specific autoantibodies and abnormal nailfold capillaroscopy predicts progression to definite disease, with 79.5% developing SSc within 4.6 years. LeRoy's criteria, validated by Koenig, enables early identification, though evidence for disease-modifying interventions in preclinical stages remains limited. For PMR, imaging reveals subclinical LVV in 16%-23% of patients without cranial symptoms. Subclinical LVV associates with higher relapse rates in retrospective studies, though optimal management approaches require prospective validation.

conclusionsAdvances in early IARD recognition through refined clinical criteria, enhanced biomarkers and imaging enable risk stratification and personalized management. While intervention strategies show promise, particularly in RA, optimal patient selection and treatment protocols require further research.

Indexed as

Arthritis, RheumatoidAutoimmune DiseasesPolymyalgia RheumaticaRheumatic DiseasesScleroderma, SystemicAnti-Citrullinated Protein AntibodiesDisease ProgressionEarly DiagnosisHumansMagnetic Resonance ImagingMicroscopic AngioscopyRaynaud DiseaseRheumatoid FactorSynovitisUltrasonographyVasculitisAnti-Citrullinated Protein AntibodiesRheumatoid Factorautoimmune rheumatic diseasesbiomarkersearly diagnosisimaginginflammation

Identifiers

PMID41117362
PMCPMC12817248

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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.