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Enregistrement W4411418475 · doi:10.1016/j.ard.2025.05.216

OP0204 LUPUS DAMAGE INDEX REVISION – ITEM GENERATION AND REDUCTION PHASE

2025· article· en· W4411418475 sur OpenAlexaff
Burak Kundakci, Megan R.W. Barber, Ann E. Clarke, Stanley R. Johnson, Ian N Bruce

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueSystemic Lupus Erythematosus Research
Établissements canadiensToronto Western HospitalMount Sinai HospitalUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésMedicineSystemic lupus erythematosusReduction (mathematics)Index (typography)Internal medicineDiseaseWorld Wide Web

Résumé

récupéré en direct d'OpenAlex

Background: The Systemic Lupus International Collaborating Clinics ( SLICC)/ American College of Rheumatology (ACR) Damage Index for Systemic Lupus Erythematosus (SLE) (SDI) [1] is a robust instrument, but has limitations in terms of missing items, limited usefulness in paediatric patients, and outdated item definitions[2]. SLICC, ACR and the Lupus Foundation of America (LFA) collaboratively embarked on a project to develop a revised SLE Damage Index using data-driven and expert/patient consensus-based approaches. The methodological approach includes 5 phases: updating the construct of damage, item generation, item reduction, item definition and weighting/threshold determination, and the assessment of validation and reliability. In phase I, qualitative methods were used to define the modern construct of damage in SLE [3]. Objectives: To report the item generation and reduction phases for developing a revised SDI. Methods: Item generation began with a comprehensive literature review and an initial Delphi exercise of international SLE experts. Item reduction involved conducting two additional Delphi rounds, where items with a median score of ≤4 out of 9 were excluded (1 = not at all appropriate and 9=completely appropriate). Items that were redundant, did not reflect the damage construct, were excessively rare, or were not feasible to assess were also removed. The expert organ domain groups defined the remaining items and suggested severity gradations for relevant items. Results: A panel of 146 individuals from 35 countries, broadly reflecting the lupus research and patient community, was established. The literature review generated 4 (1.8%) unique items, while 103 (46.8%) unique items were generated in the Delphi process, and 113 (51.4%) items overlapped in both processes. After the second Delphi round, Delphi participants suggested an additional 6 unique items, giving a total of 226 items. Thirty-six items scoring ≤4 out of 9 were removed. A further 126 items were removed due to redundancy, inadequate reflection of damage construct, association with lupus disease activity, rarity, or limited feasibility for assessment. This process excluded all items in two newly proposed organ domains including haematology and reproduction/pregnancy, reducing the number of organ domains to 12. The expert organ domain groups reviewed the candidate items, leading to a final total of 38 items. Figure 1 shows the number of candidate items identified at different stages of Phase II/III during revised SDI development. Figure 1Number of candidate items identified at different stages of Phase II/III during revised SDI development Eleven items from the previous SDI, including chronic peritonitis, muscle atrophy, and osteomyelitis, were removed. Several new items were proposed, such as growth failure/reduced final height and adrenal insufficiency. Moreover, 13 items had proposed gradings of severity (Table 1). For example, ischaemic heart disease is proposed to be graded as follows: Grade 1: asymptomatic ischaemia on testing, Grade 2: symptomatic angina with confirmatory tests Grade 3: myocardial infarction (clinical presentation and confirmatory tests) and Grade 4: multiple myocardial infarctions and/or coronary artery bypass grafting. Similarly, kidney function impairment is proposed to be graded according to Kidney Disease Improving Global Outcomes (KDIGO) categories of glomerular filtration rate (GFR). Grade 0 -GFR ≥60 mL/min/1.73 m², Grade 1 -GFR 30-59 mL/min/1.73 m², Grade 2 - GFR 15-29 mL/min/1.73 m², and Grade 3 GFR <15 mL/min/1.73 m². Conclusion: The item generation and reduction phases resulted in 38 candidate items to be taken forward to the next stages. Grading damage items is possible for 34.2% of proposed items in a new revised damage index. This offers a more detailed and clinically relevant assessment of organ damage in SLE patients. It reflects current evidence based medical practice and is likely to improve sensitivity of the index in SLE populations. Further validation in cohorts and consideration of weighting of grades across clinical organ systems is now underway. REFERENCES: [1] Gladman, Dafna, et al. "The development and initial validation of the Systemic Lupus International Collaborating Clinics/American College of Rheumatology damage index for systemic lupus erythematosus." Arthritis & Rheumatism: Official Journal of the American College of Rheumatology 39.3 (1996): 363-369. [2] Barber, Megan RW, et al. "Evolving concepts in systemic lupus erythematosus damage assessment." Nature Reviews Rheumatology 17.6 (2021): 307-308. [3] Johnson, Sindhu R., et al. "Evaluating the construct of damage in systemic lupus erythematosus." Arthritis Care & Research 75.5 (2023): 998-1006. Table 1Items suggested for gradation in the revised damage index..ItemsGradesStroke1,2,3Cognitive impairment1,2Ocular damage1,2,3,4,5Kidney function impairment1,2,3Renal biopsy findings1,2Pulmonary fibrosis1,2Cardiomyopathy1,2,3,4Ischaemic heart disease1,2,3,4Valve vegetations/thickening1,2,3Pulmonary hypertension1,2Scarring chronic alopecia1,2,3Cutaneous scarring or atrophy1,2Dyspigmentation1,2 Acknowledgements: We thank the revised SDI collaborators for their valuable input. The project is supported by LFA, SLICC and ACR. Disclosure of Interests: Burak Kundakci: None declared, Megan Barber AbbVie, AstraZeneca, GSK, Janssen, Sanofi-Genzyme, Ann E. Clarke AstraZeneca, GSK, BMS, Novartis, Roche, GSK, Sindhu R. Johnson: None declared, Ian Bruce Astra Zeneca, Janssen, GSK, Novartis, Astra Zeneca, Janssen, GSK, Novartis, Takeda, BMS, Grants to Institution from Astra Zeneca, Janssen, GSK, Otsuka, on behalf of the Revised Systemic Lupus Erythematosus (SLE) Organ Damage Index (SDI) Collaborators: 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)0,048
score de la tête « metaresearch » (Gemma)0,093
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 enseignants0,048
Score d'incertitude au seuil0,255

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0480,093
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,003
Bibliométrie0,0040,004
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0030,003
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0310,010

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 Opus0,057
Tête enseignante GPT0,386
Écart entre enseignants0,329 · 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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