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Enregistrement W4411411655 · doi:10.1016/j.ard.2025.05.653

POS0266 DEVELOPMENT OF AN ARTICULAR SCORE IN SYSTEMIC SCLEROSIS (ASSESS): IDENTIFICATION OF CORE INSTRUMENTS TO ASSESS DISEASE ACTIVITY

2025· article· en· W4411411655 sur OpenAlexaff
B. Burja, P.M. Welsing, Alain Lescoat, A. Eisenring, A.M. Hoffmann-Vold, C David, D. Khanna, F. Galdo, Michele Iudici, Janet Pope, Julia Spierings, Madelon C Vonk, M.E. Truchetet, M. Clergeau, M. Hughes, Susan L. Murphy, T. Frech, O. Distler, M. Elhai

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueSystemic Sclerosis and Related Diseases
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésMedicineDiseaseIdentification (biology)Physical therapyMultiple sclerosisInternal medicineIntensive care medicineImmunology

Résumé

récupéré en direct d'OpenAlex

Background: Inflammatory joint and tendon involvement resulting in pain and reduced joint function affects up to 30% of patients with systemic sclerosis (SSc) and represents a major burden on patient quality of life. The lack of standardized outcome measurements for assessing articular involvement in SSc not only limits the development of evidence-based therapies, but also results in incomplete clinical picture of joint involvement in SSc. Objectives: We aimed at identifying core instruments for the development of a consensus-based multi-outcome domain: the Articular Score in SystEmic ScleroSis (ASSESS) to assess articular activity among SSc patients for use in both clinical practice and trials. Methods: A steering committee comprising of 12 rheumatologists, 1 epidemiologist, 1 occupational therapist, and 3 patient research partners, was convened. The articular score was developed through a stepwise iterative process (Figure 1). First, a dedicated scoping review was conducted in PubMed/Medline (January 1960 to April 2023), where two reviewers independently identified eligible studies assessing joint and tendon involvement in SSc and extracted the instruments used to assess outcomes. After expert opinion discussion, instruments were selected if they were considered both feasible and valid by at least 70% of the steering committee. Selected instruments were further assessed by two independent reviewers using OMERACT filters. The results were presented to the steering committee and after a 2-step online Delphi survey, final core instruments to assess articular activity in SSc patients were defined. Results: Among a total of 770 identified references, 658 were excluded based on their title and/or abstract resulting in 112 articles being examined based on the full text (Figure 1). Overall, 82 studies were included, of which 43 instruments that were used for assessing articular activity in at least two studies were identified. Based on domain match and feasibility, 9 clinical, 1 laboratory, 3 clinico-biological and 3 patient-reported outcomes (Table 1) were selected for consideration in the articular activity score. Based on the measurement property analysis according to OMERACT guidelines, the steering committee voted and selected the 6 instruments to be included in the composite score to assess joint and tendon activity in SSc patients. The ASSESS score will comprise: clinical (tender and swollen joint count, standard 28 joints with the addition of distal interphalangeal joints; the presence of tendon friction rubs), serological (CRP), and patient and physician reported outcome measurements (VAS activity pain patient, VAS activity doctor) instruments. Conclusion: The steering committee identified 6 meaningful core instruments to assess articular activity in SSc patients. This represents the foundation for further development of a composite score for joint and tendon involvement in SSc for use in both clinical practice and trials. In the subsequent steps, we plan to obtain weight for individual instruments within longitudinal SSc cohorts using the presence of activity in ultrasound and a patient-reported questionnaire (Likert scale 1-5) as anchors. Figure 1Scoping review search strategy. REFERENCES: NIL . Table 1Identified core instruments for assessing disease articular activity in SSc patients.ClinicalSerologyClinico-biological scorePatient reported outcomes○ Ritchie articular index○ Number of tender joints○ Number of swollen joints○ Number of synovitis○ Presence of tendon friction rubs○ Number of tendon frictions rubs○ CRP○ DAS28-ESR○ DAS28-CRP○ SDAI○ Visual analogic scale for articular pain (patient)○ Visual analogic scale for disease activity (patient)○ Visual analogic scale for disease activity (physician) Acknowledgements: NIL . Disclosure of Interests: Blaž Burja: None declared , Paco M.J. Welsing: None declared , Alain Lescoat: None declared , Andreas Eisenring: None declared , Anna-Maria Hoffmann-Vold Boehringer Ingelheim, Janssen, Medscape, Merck Sharp & Dohme, Novartis and Roche, AbbVie, ARXX, Boehringer Ingelheim, Bristol Myers Squibb, Genentech, Janssen, Medscape, Merck Sharp & Dohme, Pliant Therapeutics, Roche and Werfen, Boehringer Ingelheim, Janssen, Claire Leroy David: None declared , Dinesh Khanna: None declared , Francesco Del Galdo: None declared , Michele Iudici: None declared , Janet Pope: None declared , Julia Spierings: None declared , Madelon Vonk: None declared , Marie-Elise Truchetet AbbVie, Boehringer Ingelheim, Janssen, Lilly, MSD, and UCB, Martine Clergeau: None declared , Michael Hughes: None declared , Susan L Murphy: None declared , Tracy Frech: None declared , Oliver Distler 4P-Pharma, Abbvie, Acceleron, Acepodia Biotech, Aera, Alcimed, Altavant, Amgen, AnaMar, Anaveon AG, Argenx, AstraZeneca, Blade, Bayer, Boehringer Ingelheim, Calluna (Arxx), Cantargia AB, Catalyze Capital, Corbus, CSL Behring, Galderma, Galapagos, Glenmark, Gossamer, Horizon, Janssen, Kymera, Lupin, Medscape, MSD Merck, Miltenyi Biotec, Mitsubishi Tanabe, Nkarta Inc., Novartis, Orion, Pilan, Prometheus, Quell, Redxpharma, Roivant, EMD Serono, Topadur and UCB, Co-founder of CITUS AG, 4P-Pharma, Abbvie, Acceleron, Acepodia Biotech, Aera, Alcimed, Altavant, Amgen, AnaMar, Anaveon AG, Argenx, AstraZeneca, Blade, Bayer, Boehringer Ingelheim, Calluna (Arxx), Cantargia AB, Catalyze Capital, Corbus, CSL Behring, Galderma, Galapagos, Glenmark, Gossamer, Horizon, Janssen, Kymera, Lupin, Medscape, MSD Merck, Miltenyi Biotec, Mitsubishi Tanabe, Nkarta Inc., Novartis, Orion, Pilan, Prometheus, Quell, Redxpharma, Roivant, EMD Serono, Topadur and UCB, BI, Kymera, Mitsubishi Tanabe, UCB, Muriel Elhai Boehringer Ingelheim, Pfizer, Novartis Foundation for Bio-Medical Research. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,042
score de la tête « metaresearch » (Gemma)0,049
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,042
Score d'incertitude au seuil0,222

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0420,049
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0090,013
Études des sciences et des technologies0,0010,001
Communication savante0,0040,002
Science ouverte0,0020,003
Intégrité de la recherche0,0030,001
Charge utile insuffisante (le modèle a refusé de juger)0,0130,006

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,134
Tête enseignante GPT0,351
Écart entre enseignants0,217 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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