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Enregistrement W4411395031 · doi:10.1016/j.ard.2025.06.937

ABS0657 INSIGHTS FROM A ONE-YEAR INTERNATIONAL MONTHLY QUIZ ON AA AMYLOIDOSIS CAUSES: ENGAGING 2,597 VOTERS ACROSS FRENCH-SPEAKING COUNTRIES

2025· article· en· W4411395031 sur OpenAlexaffabout
R. Bourguiba, W. Ammouri, Ciprian Jurcuț, Elissar Dagher, B.M. Nassani, G. Khellaf, C. Catalano, J. Laouni, Marion Delafosse, Lena Berchtold, S. Ndongo, Stéphanie Ducharme‐Bénard, Faridah Mohd Said, S. Georgin-Lavialle

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueAmyloidosis: Diagnosis, Treatment, Outcomes
Établissements canadiensHôpital du Sacré-Cœur de Montréal
Organismes subventionnairesnon disponible
Mots-clésMedicineAmyloidosisFamily medicineDermatologyMedical educationInternal medicine

Résumé

récupéré en direct d'OpenAlex

Background: Inflammatory (AA) amyloidosis is secondary to chronic inflammatory conditions. The discovery of an AA amyloidosis can reveal the underlying inflammatory disease, but the etiologic diagnosis can be challenging. Considering this diversity of etiologies, we proposed the "AA Challenge": an international educational program aimed mainly at French-speaking physicians, thanks to financial support: Françoise Dubois Charlier Prize from the French Association of Amyloidosis Patients (AFCA). Objectives: The aim of the AA challenge was to teach and communicate the diversity of causes of AA amyloidosis in order to reduce diagnostic wandering. It also intended to encourage interaction and scientific emulation on AA amyloidosis between French-speaking physicians caring for AA amyloidosis patients around the world. Methods: From 2023 to 2024, a monthly clinical case consisting of images with a short text was proposed to the French-speaking medical community under the name "AA challenge" via emails and social networks accounts of the French reference center for AA amyloidosis, the French association against amyloidosis, the international alliance against amyloidosis, a Facebook page and Instagram account "AA challenge". The questionnaire was developed using Eval&Go® software and distributed thanks to the twelve members of the AA challenge Steering Committee, each representing their French-speaking country. After the monthly challenge case (quiz), a 40-second educational video explaining the correct answer and the various elements that guide the diagnostic strategy is posted on social networks. We have also provided a monthly "literature review" on AA amyloidosis, consisting of a summary of two recent articles on AA amyloidosis, which was shared on social media. Results: A total of 12 clinical cases of AA amyloidosis were sent allowing to collect 2567 responses over one year. The medical specialties of the AA Challenge participants were respectively: internal medicine (n=1534, 60%), nephrology (n=470, 18%), rheumatology (n=199, 7%) and other specialties (cardiology, dermatology, gastroenterology, geriatrics pediatrics and infectious diseases (n=307,11%). The top three participating countries with the highest number of voters in the 12 quizzes were Morocco (n=646), France (n=537) and Romania (n=420). The number of voters from the remaining countries were: Tunisia (n=273), Algeria(n=212), Belgium (n=147), Senegal (n=156), Lebanon (n=72), Switzerland (n=56) and Canada (n=48). The pathologies studied in the different clinical cases and the percentage of correct answers were respectively in order of publication: 1-Mevalonate Kinase deficiency (57%), 2-Tuberculosis and bronchectasis (41%), 3-Familial Mediterranean Fever (73%), 4-Rheumatoid arthritis (80%), 5-Obesity (62%), 6-Primary hyperoxaluria (58%), 7-Castelman disease (60%), 8-Spondylarthritis (80%), 9- Multiple causes (70%), 10-Cryopyrinopathy (58%), 11-Crohn disease (88%), 12- non AA amyloidosis (29%). For the monthly literature review, 25 articles on AA amyloidosis published between 2022 and 2024 during the project period were summarized. Topics covered were, in order of frequency, 10 rare causes of AA amyloidosis (including variable common immune deficiency, hidradenitis suppurativa, inflammatory lymphomas, xanthogranulomatous pyelonephritis, sickle cell disease, PSTPiP1 mutations, anakinra, checkpoint inhibitors such as atezolizumab, Behçet's disease and hereditary epidermolysis bullosa), 6 on the epidemiology of AA amyloidosis in some countries (such as Brazil, Portugal, Algeria and Turkey), familial Mediterranean fever, anti-inflammatory cytokine biotherapies and disease progression or kidney transplantation; Only one involved inflammatory rheumatism (gout), a classic but declining aetiology of AA amyloidosis. Conclusion: The "AA challenge" educational project brought together >10 French-speaking countries to discuss the various causes of AA amyloidosis. This project attracted more than 2500 colleagues from at least 8 different specialties. The high number of responses to the questionnaire indicates an interest in the subject and in fun approaches to teaching. Overall, the AA challenge encourages us to continue this educational work to raise awareness on AA amyloidosis. REFERENCES: NIL . Acknowledgements: NIL . Disclosure of Interests: None declared . © 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)0,005
score de la tête « metaresearch » (Gemma)0,012
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: Empirique
Score de désaccord entre enseignants0,029
Score d'incertitude au seuil0,096

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,012
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0050,001
Communication savante0,0030,002
Science ouverte0,0000,003
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0290,008

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 Opus0,020
Tête enseignante GPT0,306
Écart entre enseignants0,285 · 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'admission2
Résumé présentoui

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