Evidence map›Paper›PMID 41376133›Full record

ArticleJournal of internal medicine2026

Clinical profiles associated with rapidly progressive interstitial lung disease in antisynthetase syndrome: A multicentric cohort study (TYPASS study).

Maxime Billotte, Thomas Moulinet, Alain Meyer, Houda Camara, Loïs Bolko, Kévin Didier, Sandra Dury, Bernard Bonnotte, Hervé Devilliers, Philippe Bonniaud and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of internal medicine, 2026. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

17 authors.

Maxime BillotteDépartement de Médecine Interne et Immunologie Clinique, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Thomas MoulinetDépartement de Médecine Interne et Immunologie Clinique, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Alain MeyerDépartement de Rhumatologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Houda CamaraUnité de Méthodologie, Datamanagement et Statistiques (UMDS), Département de Recherche Clinique et Innovation, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Loïs BolkoDépartement de Rhumatologie, CHU Reims, Reims, France.ORCID https://orcid.org/0000-0002-0186-5570
Kévin DidierDépartement de Médecine Interne, CHU Reims, Reims, France.
Sandra DuryService des Maladies Respiratoires, CHU Reims, Reims, France.
Bernard BonnotteDépartement de Médecine Interne et Immunologie Clinique, CHU Dijon, Dijon, France.
Hervé DevilliersDépartement de Médecine Interne et Maladies Systémiques, CHU Dijon, Dijon, France.
Philippe BonniaudInstitut Universitaire du Poumon, Centre de Référence Constitutif des Maladies Pulmonaires Rares de l'adultes, Inserm 1231 CTM, Université Bourgogne Europe, Centre Hospitalo-Universitaire Dijon-Bourgogne, Dijon, France.
Guillaume BeltramoInstitut Universitaire du Poumon, Centre de Référence Constitutif des Maladies Pulmonaires Rares de l'adultes, Inserm 1231 CTM, Université Bourgogne Europe, Centre Hospitalo-Universitaire Dijon-Bourgogne, Dijon, France.
Julien CampagneService de Médecine Interne, UNEOS, Metz, France.
Nadine Magy-BertrandDépartement de Médecine Interne, CHU Besançon, Besançon, France.
Aurore ChaudierService de Médecine Interne et Rhumatologie, Hôpital Legouest, Metz, France.
Simon ValentinDépartement de Pneumologie, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Roland JaussaudDépartement de Médecine Interne et Immunologie Clinique, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Paul DeckerDépartement de Médecine Interne et Immunologie Clinique, CHRU Nancy, Vandœuvre-lès-Nancy, France.ORCID https://orcid.org/0000-0003-3388-0991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess factors associated with rapidly progressive interstitial lung disease (ILD) (RP-ILD) at time of ILD diagnosis in a multicentric retrospective cohort study of antisynthetase syndrome (ASyS). We used a complementary unsupervised approach, hierarchical clustering, to delineate distinct phenotypes among ASyS patients with ILD.

methodsA total of 132 patients with ASyS, defined according to the 2024 ACR/European Alliance of Associations for Rheumatology (EULAR) ASyS classification criteria, and ILD, diagnosed by CT scan, were included. RP-ILD was defined by the presence of respiratory failure at ILD diagnosis or rapid ILD progression during the first 3 months.

resultsIn our study, 39% of patients had RP-ILD at ILD diagnosis. Multivariate logistic regression analysis with cluster-robust SE identified the factors associated with RP-ILD at ILD diagnosis as male sex (aOR = 9.7 [1.6-59.5], p = 0.006), fever (aOR = 128 [12.6-1300], p < 0.001), organizing pneumonia (OP) pattern (aOR = 66.8 [3.4-1316], p = 0.006), and pleural effusion (aOR = 20.2 [1.1-373], p = 0.04), whereas RP-ILD was associated with lower likelihood of severe muscle disease (aOR = 0.004 [0.0001-0.13], p = 0.002). Clustering analysis identified four distinct groups: Cluster 1 (n = 62) included patients with systemic presentation, non-RP-ILD at ILD diagnosis, and anti-Jo-1 antibodies with good prognosis; Cluster 2 (n = 40) included older age patients with more RP-ILD at ILD diagnosis, pleuropericarditis, and a higher mortality rate.

conclusionFever, pleural effusion, and OP pattern were independently associated with RP-ILD in ASyS patients. Unsupervised cluster analysis identified a severe inflammatory phenotype in ASyS patients with ILD.

Indexed as

Lung Diseases, InterstitialMyositisAdultAgedCluster AnalysisDisease ProgressionFemaleHumansMaleMiddle AgedPhenotypeRetrospective Studiesantisynthetase syndromeconnective tissue diseaseinterstitial lung diseasemyositisoverlap myositis

Identifiers

PMID41376133
PMCPMC12869006

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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.