Reduced organ damage accumulation in adult patients with SLE on anifrolumab plus standard of care compared to real-world external controls
Bibliographic record
Abstract
OBJECTIVES: Anifrolumab is approved for the treatment of systemic lupus erythematosus (SLE). We aimed to determine if anifrolumab plus standard of care (SOC) was associated with reduced organ damage accumulation in adult patients with moderately to severely active SLE compared to real-world (RW) external controls from the University of Toronto Lupus Clinic (UTLC) cohort who received SOC only. METHODS: Patients who initiated 300 mg anifrolumab in the TULIP (Treatment of Uncontrolled Lupus via the Interferon Pathway) trials were included in the anifrolumab arm; key eligibility criteria were applied to the UTLC to create the RW SOC arm. Propensity score and censoring weighting were used to account for baseline confounding and loss to follow-up. The primary endpoint was change in Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index (SDI) score from baseline to week 208, and the secondary endpoint was time to first SDI score increase. RESULTS: 354 patients were included in the anifrolumab arm, and 561 patients were included in the RW SOC arm. Following weighting, mean change in SDI was 0.416 points lower (95% CI: -0.582, -0.249; P < .001) in the anifrolumab arm than in the RW SOC arm. Patients in the anifrolumab arm were 59.9% less likely (hazard ratio: 0.401; 95% CI: 0.213, 0.753, P = .005) to experience an increase in SDI within 208 weeks. CONCLUSIONS: Patients who received anifrolumab accumulated significantly less organ damage after 208 weeks than patients who received RW SOC. The addition of anifrolumab to SOC is effective at preventing and/or delaying organ damage in patients with moderately to severely active SLE.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".