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Record W2167573919 · doi:10.1517/14712598.2014.959924

Update on belimumab for the management of systemic lupus erythematosus

2014· review· en· W2167573919 on OpenAlexaff
Pamela Lutalo, David D’Cruz

Bibliographic record

VenueExpert Opinion on Biological Therapy · 2014
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsBelimumabMedicineClinical trialPlaceboIntensive care medicineImmunologyInternal medicineB-cell activating factorAlternative medicineAntibodyB cellPathology

Abstract

fetched live from OpenAlex

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.164
GPT teacher head0.426
Teacher spread0.262 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations9
Published2014
Admission routes1
Has abstractyes

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