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EFFECT OF CENERIMOD ON QUALITY OF LIFE IN SYSTEMIC LUPUS ERYTHEMATOSUS PATIENTS: RESULTS FROM THE PHASE 2 CARE STUDY

2025· article· en· W4410513102 on OpenAlexvenueno aff
Bruno Flamion, Ouali Berkani, Cécile Dubois, Anca Askanase

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Lupus erythematosusSystemic diseaseInternal medicineConnective tissue diseaseIntensive care medicineDermatologyImmunopathologyImmunologyAutoimmune diseaseDiseaseNursingAntibody

Abstract

fetched live from OpenAlex

PV170 / #460 Poster Topic: AS19 - Patient-Reported Outcome Measures Background/Purpose Cenerimod is an investigational highly selective S1P 1 receptor modulator with potential therapeutic benefits in autoimmune disease, including Systemic Lupus Erythematous (SLE). The Phase 2b CARE study was a double-blind, randomized, placebo-controlled trial evaluating the efficacy and safety of different doses of cenerimod (0.5 mg, 1 mg, 2 mg, or 4 mg) in subjects with moderate-to-severe SLE, concurrently receiving stable background therapy. Cenerimod had a significant effect on the primary endpoint, the change in modified SLE disease activity index-2000 score (mSLEDAI 2K, which excludes leukopenia) from baseline to month 6. The largest difference vs placebo was obtained in the 4 mg arm and was nominally statistically significant (4 mg: -4.04 vs placebo: -2.85, P=0.029). Further, post hoc subgroup analyses showed that 4 mg had a greater treatment effect size vs placebo (- 5.41 vs -2.62, P=0.0015) in patients with high IFN 1 gene expression at baseline. The CARE study also assessed health-related quality of life (QoL) as 1 of its endpoints, and the abstract presents the QoL results comparing cenerimod 4 mg to placebo. Methods The 36-Item Short-Form Health Survey version 2 (SF-36v2) was one of the tools used to assess quality of life (QoL) in the CARE study.[1] The data was collected using a paper clinical report form (CRF). Observed changes from baseline to month 6 were analyzed descriptively using the full analysis set. The SF-36v2 questionnaire covers 8 health domains and provides 2 component summaries, the physical and the mental components. A 2-point change in the physical component summary and a 3-point change in the mental component summary are considered as the minimal important differences (MIDs) indicating improvement in health status 1 . In this abstract, the results will focus on the 2 component summaries and on the mental health domain. Results Improvements were noted with cenerimod 4 mg vs placebo at month 6 across most of the SF-36v2 health domains. The mean [SD] change from baseline to month 6 with 4 mg was 4.72 [8.17] for the physical component summary (vs placebo, 2.60 [9.91]) (Table 1) and 2.73 [8.99] for the mental component summary (vs placebo, 2.51 [11.74]) (Table 2). In the subgroup of patients with high IFN-1 gene expression, the treatment effect was greater with a mean [SD] changes higher for 4 mg vs placebo in both physical (6.77 [7.80] vs 0.99 [9.81]) (Table 1) and mental components (3.14 [10.25] vs 0.75 [13.39]) (Table 2). For the SF-36 mental health domain at month 6, the mean [SD] difference was 3.02 with 4 mg vs 2.63 for placebo. In the high IFN-1 gene expression subgroup, the mean difference was 2.82 [9.76] for the 4 mg vs -0.07 [12.10] for the placebo. Table 1: SF-36v2: observed value at baseline and change from baseline at Month 6: Physical Component Table 2: SF-36v2: observad value at baseline and change from baseline at Month 6: Mental Component Conclusions Patients with cenerimod 4 mg groups showed meaning full improvements in the mental and physical components of the SF-36v2 scores compared to placebo at month 6. Further evaluation of the SF-36v2 scores will be performed in the phase III program. References: [1.] User’s manual for the SF-36v2 survey. 3rd ed. 2011.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.354
Teacher spread0.332 · 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 designNon-randomized trial
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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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