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REAL-WORLD EFFICACY AND SAFETY DATA OF ANIFROLUMAB FOR SYSTEMIC LUPUS ERYTHEMATOSUS

2025· article· en· W4410512950 on OpenAlexvenueno aff
Filippo Vesentini, Margherita Zen, F. Arru, Zahrà Rahmé, Greta Hulej, Luca Iaccarino, Andrea Doria

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSystemic diseaseLupus erythematosusDermatologyConnective tissue diseaseImmunopathologyImmunologyAutoimmune diseaseInternal medicineDiseaseAntibody

Abstract

fetched live from OpenAlex

PV279 / #686 Poster Topic: AS24 - SLE-Treatment Background/Purpose Anifrolumab (ANI), an anti-type 1 interferon-alpha receptor antibody, has recently been approved for SLE treatment, following the positive results in 2 phase III randomized controlled trials. The purpose of this work is assessing the efficacy of Anifrolumab in active non-renal SLE, focusing on cutaneous and musculoskeletal manifestations. Methods Data of SLE (ACR/SLICC or EULAR/ACR classification criteria) patients (pts) treated with ANI were prospectively collected. Disease activity measures, including SLE Disease Activity Index 2000 (SLEDAI-2K), SLE Disease Activity Score (SLE-DAS), swollen joint count (SJT), tender joint count (TJC) and Cutaneous Lupus Erythematosus Disease Area and Severity Index (CLASI) were assessed at baseline and every 3 months thereafter. Platelet count (PC), lymphocyte count (LC), complement levels, anti-dsDNA titers, and prednisone dose were also assessed at same timepoints. SLICC/ACR Damage Index (SDI) was collected at baseline and after 6 months of treatment. T-test and Wilcoxon test for paired data were used to assess differences across different timepoints. Results Since September 2023, 22 SLE pts have been treated with ANI. ANI was prescribed for active cutaneous involvement in 11/22 (50%), joint involvement in 10/22 (45%), hematological involvement in 4/22 (18%), and serosal involvement in 2/22 (9%). In 8/22 pts (36%), ANI was administered prior to any conventional immunosuppressants (IS) (including 2 pts in which it was administered after belimumab only). At 6 months, significant reductions from baseline of mean SLEDAI-2K (p=0,016), SLE-DAS (p<0.001), CLASI (p=0,008), TCJ (p=0,009), SJC (p=0,023), and LC (p=0,021) were observed (Image 1 and Image 2). At 9 months, improvements were confirmed in all previous endpoints (Image 1 and Image 2). Efficacy was similar between conventional IS experienced vs. naïve pts. Of note, a trend toward reduced prednisone use was observed. At 6 and 9 months, no significant changes in PC, rates of hypocomplementemia and proportion of patients with positive anti-dsDNA antibodies were detected. SDI did not vary after 6 months of follow-up. Treatment was discontinued for inefficacy in 2 pts (1 joint and 1 hematological involvement) and for safety reasons in 1 pt (sepsis). IMAGE 1 IMAGE 2 Conclusions In our cohort, ANI showed promising results, reducing overall and organ-specific disease activity, confirming its efficacy in cutaneous and joint manifestations. Further data are needed to evaluate its steroid-sparing effect and its impact on hematological manifestations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.344
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2025
Admission routes1
Has abstractyes

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