MétaCan
Menu
Back to cohort
Record W4280554311 · doi:10.2217/cer-2022-0040

Indirect treatment comparison of anifrolumab efficacy versus belimumab in adults with systemic lupus erythematosus

2022· review· en· W4280554311 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Comparative Effectiveness Research · 2022
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsEVERSANA (Canada)
FundersNational Institute for Health and Care ResearchAstraZeneca
KeywordsMedicineBelimumabLupus erythematosusMonoclonalImmunologyInternal medicineDermatologyMonoclonal antibodyAntibodyB-cell activating factor

Abstract

fetched live from OpenAlex

Aim: Assess the comparative efficacy of anifrolumab 300 mg versus belimumab 10 mg/kg in adults with moderate-to-severe systemic lupus erythematosus (SLE) receiving standard therapy. Patients and methods: Population-adjusted simulated treatment comparisons (primary analyses) and matching-adjusted indirect comparisons (supporting analyses) were conducted using individual patient data from TULIP-1/TULIP-2 and summary-level data from BLISS-52/BLISS-76. Results: Compared with belimumab-treated patients, anifrolumab-treated patients were more than twice as likely to achieve a reduction of four or more points in SLE Disease Activity Index 2000 score (simulated treatment comparison odds ratio: 2.47; 95% CI: 1.16–5.25) and SLE Responder Index-4 response (odds ratio: 2.61; 95% CI: 1.22–5.58) at 52 weeks. Conclusion: Patients with moderate-to-severe SLE are more likely to achieve an improvement in disease activity with anifrolumab than with belimumab.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.310
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0110.001
Bibliometrics0.0050.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.000

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 head0.219
GPT teacher head0.486
Teacher spread0.267 · 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