Update on belimumab for the management of systemic lupus erythematosus
Bibliographic record
Abstract
INTRODUCTION: Belimumab is a fully humanised mAb against B lymphocyte stimulator (B-LyS). It is the first biological drug to be licensed and approved by the US FDA and the European Medicines Evaluation Agency for use in combination with standard immunosuppressants in autoantibody-positive systemic lupus erythematosus (SLE). The clinical effectiveness and impact of this drug on lupus morbidity and mortality is evaluated in this review. AREAS COVERED: An overview of the efficacy and safety of belimumab based on 7-year longitudinal continuation study data from SLE patients enrolled in the Phase II double-blind, randomised, placebo-controlled, 52-week study of belimumab 1, 4 and 10 mg/kg doses and an overview of the open-label 24-week extension of belimumab plus standard immunosuppressant therapy. A review of the current belimumab clinical trials, the experience of belimumab in real-world settings and a description of the impact that belimumab has had on the healthcare quality of life of SLE patients. EXPERT OPINION: The emerging clinical data have shed light on the areas in which belimumab is of greatest benefit and areas for further evaluation in clinical trials. It is anticipated that regular updates from ongoing trials of belimumab in SLE, practising physicians, data from the continuation arms of clinical trials and data from international biologics registries will have an influence on the role of belimumab in the management of SLE.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".