Evidence map›Paper›PMID 41130746›Full record

Observational studyRMD open2025

Unravelling IPAF, VEDOSS and connective tissue diseases classifications through the mixed connective tissue disease spectrum.

Kevin Chevalier, Benjamin Thoreau, Marc Michel, Bertrand Godeau, Christian Agard, Thomas Papo, Karim Sacre, Brigitte Bader-Meunier, Raphaele Seror, Xavier Mariette and 22 more

Abstract readObservational Study
In one paragraph

Observational study in RMD open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

32 authors.

Kevin ChevalierDepartment of Internal Medicine, Centre de Référence Maladies Auto-Immunes et Systémiques Rares d'Ile de France, AP-HP.Centre, Université Paris Cité, Paris, France.ORCID 0000-0001-7823-1827
Benjamin ThoreauDepartment of Internal Medicine, CHRU de Tours, Tours, France.
Marc MichelDepartment of Internal Medicine, Hôpital Henri Mondor, Créteil, France.
Bertrand GodeauDepartment of Internal Medicine, Hôpital Henri Mondor, Créteil, France.
Christian AgardService de Médecine Interne, Centre Hospitalier Universitaire de Nantes, Nantes, France.
Thomas PapoHôpital Bichat Claude-Bernard, Paris, France.
Karim SacreHôpital Bichat Claude-Bernard, Paris, France.ORCID 0000-0002-6544-234X
Brigitte Bader-MeunierPediatric Hematology-Immunology and Rheumatology, Hopital universitaire Necker-Enfants malades, Paris, France.
Raphaele SerorRheumatology, Hopital Bicetre, Le Kremlin-Bicêtre, France.ORCID 0000-0002-5523-1856
Xavier MarietteRheumatology, Hopital Bicetre, Le Kremlin-Bicêtre, France.ORCID 0000-0002-4244-5417
Patrice CacoubService de médecine interne et immunologie clinique, Hopital Pitie-Salpetriere, Paris, France.
Ygal BenhamouCHU de Rouen, Rouen, France.
Hervé LevesqueCHU de Rouen, Rouen, France.
Cécile GoujardInternal medicine, Hôpital Bicêtre, AP-HP, Université Paris Saclay, Kremlin-Bicêtre, France.
Olivier LambotteInternal medicine, Hôpital Bicêtre, AP-HP, Université Paris Saclay, Kremlin-Bicêtre, France.
Bernard BonnotteInternal Medicine and Clinical Immunology department, Referral Center for Rare Systemic Autoimmune and Autoinflammatory Diseases, University Hospital Centre Dijon Bourgogne, Dijon, France.ORCID 0000-0001-7229-3808
Maxime SamsonInternal Medicine and Clinical Immunology department, Referral Center for Rare Systemic Autoimmune and Autoinflammatory Diseases, University Hospital Centre Dijon Bourgogne, Dijon, France.ORCID 0000-0002-6547-232X
Félix AckermannDepartment of Internal Medicine, Hospital Foch, Suresnes, France.
Jean SchmidtInternal Medicine, CHU Amiens-Picardie, Amiens, France.
Pierre DuhautInternal Medicine, CHU Amiens-Picardie, Amiens, France.
Isabelle Koné-PautService de Rhumatologie Pédiatrique, Centre de Référence des Maladies Auto-Inflammatoires de l'enfant, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.ORCID 0000-0001-8939-5763
Jean-Emmanuel KahnDepartment of Internal Medicine, Hopital Ambroise-Pare, Boulogne-Billancourt, France.
Thomas HanslikDepartment of Internal Medicine, Hopital Ambroise-Pare, Boulogne-Billancourt, France.
Nathalie Costedoat-ChalumeauDepartment of Internal Medicine, Centre de Référence Maladies Auto-Immunes et Systémiques Rares d'Ile de France, AP-HP.Centre, Université Paris Cité, Paris, France.ORCID 0000-0002-1555-9021
Benjamin TerrierDepartment of Internal Medicine, Centre de Référence Maladies Auto-Immunes et Systémiques Rares d'Ile de France, AP-HP.Centre, Université Paris Cité, Paris, France.ORCID 0000-0001-6612-7336
Alexis RegentDepartment of Internal Medicine, Centre de Référence Maladies Auto-Immunes et Systémiques Rares d'Ile de France, AP-HP.Centre, Université Paris Cité, Paris, France.
Bertrand DunogueDepartment of Internal Medicine, Centre de Référence Maladies Auto-Immunes et Systémiques Rares d'Ile de France, AP-HP.Centre, Université Paris Cité, Paris, France.
Pascal CohenDepartment of Internal Medicine, Centre de Référence Maladies Auto-Immunes et Systémiques Rares d'Ile de France, AP-HP.Centre, Université Paris Cité, Paris, France.
Véronique Le GuernDepartment of Internal Medicine, Centre de Référence Maladies Auto-Immunes et Systémiques Rares d'Ile de France, AP-HP.Centre, Université Paris Cité, Paris, France.
Eric HachullaInternal medicine, Lille University Hospital, Lille, France, Lille, France.
Benjamin Chaigne *Department of Internal Medicine, Centre de Référence Maladies Auto-Immunes et Systémiques Rares d'Ile de France, AP-HP.Centre, Université Paris Cité, Paris, France.
Luc Mouthon *Department of Internal Medicine, Centre de Référence Maladies Auto-Immunes et Systémiques Rares d'Ile de France, AP-HP.Centre, Université Paris Cité, Paris, France luc.mouthon@aphp.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMixed connective tissue disease (MCTD) has long been debated as an early nonspecific phase/symptom of differentiated connective tissue diseases (dCTD), similarly to interstitial pneumonia with autoimmune features (IPAF) and very early diagnosis of systemic sclerosis (SSc) (VEDOSS).

objectiveWe aimed to evaluate the predictive value of IPAF, VEDOSS and dCTD classification criteria variables in MCTD patients.

methodsWe conducted an observational study within the French MCTD cohort. IPAF, VEDOSS and current dCTD classification criteria were used to classify patients.

resultsThree hundred and twenty-four MCTD patients were included and followed for 8 (3.3-13) years. Among them, 111 (34.3%) progressed into a dCTD, that is, 50 (15.4%) SSc, 40 (12.3%) systemic lupus erythematosus (SLE) and 11 (3.4%) Sjögren's disease. At diagnosis, 38 (11.7%) patients fulfilled IPAF criteria, among which 15 (39.5%) progressed into a dCTD (vs 75 (26.2%) in patients who did not fulfil IPAF criteria; p=0.09). At diagnosis, 293 (90.4%) patients fulfilled VEDOSS criteria but did not progress significantly more frequently to SSc than MCTD patients without VEDOSS criteria (46 (15.7%) vs 4 (12.9%); p=0.8). At baseline, SSc classification criteria did not predict evolution toward SSc, whereas antiphospholipid antibodies and low C3 and/or C4 were predictive of an evolution toward SLE (p=0.01 and p=0.04, respectively).

conclusionAt MCTD diagnosis, fulfilment of IPAF and/or VEDOSS criteria was not predictive of evolution toward SSc, whereas antiphospholipid antibodies and low C3 and/or C4 were predictive of an evolution toward SLE. This suggests that MCTD patients should be excluded from IPAF and VEDOSS.

Indexed as

Lung Diseases, InterstitialMixed Connective Tissue DiseaseAdultAgedDisease ProgressionEarly DiagnosisFemaleFranceHumansMaleMiddle AgedScleroderma, SystemicClassificationConnective Tissue DiseasesLupus Erythematosus, SystemicScleroderma, Systemic

Identifiers

PMID41130746
PMCPMC12551539

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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.