Evaluating the concordance between BICLA and SRI4 in patients with systemic lupus erythematosus from the placebo arms of the EXPLORER and ATHOS trials
Bibliographic record
Abstract
OBJECTIVE: The British Isles Lupus Assessment Group (BILAG)-based Composite Lupus Assessment (BICLA) and the Systemic Lupus Erythematosus Responder Index 4 (SRI4) responses are the most common primary endpoints in SLE clinical trials. We examined the concordance and the reasons for discordance in BICLA/SRI4 responses in participants with SLE receiving placebo and standard of care (SOC) in two randomised controlled trials. METHODS: This post-hoc analysis included data from the placebo arm (participants treated with SOC) of the EXPLORER (n=87; NCT00137969) and ATHOS (n=80; NCT02908100) trials. Disease activity was measured using BILAG and SELENA-SLEDAI (Safety of Estrogens in Lupus Erythematosus National Assessment-Systemic Lupus Erythematosus Disease Activity Index) in the EXPLORER trial and BILAG-2004 and SLEDAI-2000K in the ATHOS trial. For this analysis, participants were classified as responders or non-responders based on BICLA and SRI4 and the presence of intercurrent events. Concordance and discordance frequencies between BICLA and SRI4 were determined. RESULTS: In EXPLORER, the BICLA response rates were lower than the SRI4 response rates (29.9% vs 41.4% at week 52, respectively), whereas in ATHOS the BICLA and SRI4 response rates were similar (41.2% vs 43.8% at week 48, respectively). The overall BICLA/SRI4 concordance (Cohen's κ score) was moderate (0.46 in EXPLORER and 0.54 in ATHOS at weeks 52 and 48, respectively). At weeks 52 and 48, BICLA+/SRI4- and BICLA-/SRI4+ discordance, respectively, was 6.9% and 18.4% in EXPLORER and 10.0% and 12.5% in ATHOS. In an analysis of ATHOS subgroups based on the presence or absence of rash at baseline, BICLA response was higher at week 48 in participants with arthritis only than in those with arthritis and mucocutaneous comanifestations (63.2% vs 33.9%, respectively). BICLA-/SRI4+ and BICLA+/SRI4- discordance was lower in participants with low compared with normal complement at baseline. CONCLUSIONS: BICLA and SRI4 may be discordant in SLE trials. Arthritis and rash were the primary drivers of the discordance, and serology influenced BICLA and SRI4 response, suggesting the need for evaluation of multiple efficacy endpoints rather than a single measure.
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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 | 0.096 | 0.104 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".