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Record W2910380754 · doi:10.2147/prom.s134326

Impact of belimumab on patient-reported outcomes in systemic lupus erythematosus: review of clinical studies

2019· review· en· W2910380754 on OpenAlexafffund
Elvira Bangert, Laura Wakani, Mehveen G. Merchant, Vibeke Strand, Zahi Touma

Bibliographic record

VenuePatient Related Outcome Measures · 2019
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsNova Scotia Health AuthorityDalhousie UniversityToronto Western HospitalUniversity of TorontoQueen's University
FundersJanssen PharmaceuticalsPhysicians' Services Incorporated FoundationEMD SeronoArthritis SocietyGlenmark PharmaceuticalsAmgenPfizerGenentechAstraZenecaEli Lilly and CompanyUniversity of TorontoGlaxoSmithKline
KeywordsBelimumabMedicineQuality of life (healthcare)Clinical trialSystemic lupus erythematosusBLISSPhysical therapyLupus erythematosusRandomized controlled trialInternal medicineB-cell activating factorDiseaseImmunologyAntibody

Abstract

fetched live from OpenAlex

Systemic lupus erythematosus (SLE) is a chronic autoimmune, multisystem rheumatic disease with significant impact on health-related quality of life (HRQoL). Patient-reported outcomes (PROs) provide valuable data on patient perceptions across a variety of domains, such as HRQoL, pain, fatigue, and depression. The measurement and results of PROs with respect to HRQoL in randomized controlled trials (RCTs) on belimumab (B-lymphocyte stimulator inhibitor) in SLE are reviewed here, including BLISS-52 and BLISS-76, as well as publications related to belimumab trials that included HRQoL data. Other trials that evaluated belimumab did not include HRQoL data and were therefore not included in the analysis. The BLISS-52 and BLISS-76 RCTs met their primary endpoints and demonstrated improvements in PROs, measured by the 36-item Short Form Health Survey, EuroQol 5 Dimensions, and Functional Assessment of Chronic Illness Therapy-Fatigue Scale. Belimumab was shown overall to improve PROs in adult autoantibody-positive lupus patients.

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)0.005
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.519
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0210.006
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.238
GPT teacher head0.487
Teacher spread0.249 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
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

Citations24
Published2019
Admission routes2
Has abstractyes

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