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Record W1988828062 · doi:10.1177/1759720x14551567

Experience with subcutaneous abatacept for rheumatoid arthritis: an update for clinicians

2014· review· en· W1988828062 on OpenAlexaff
Majed Khraishi

Bibliographic record

VenueTherapeutic Advances in Musculoskeletal Disease · 2014
Typereview
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsNexus Clinical Research (Canada)Memorial University of Newfoundland
Fundersnot available
KeywordsAbataceptMedicineRheumatoid arthritisAdalimumabClinical trialMethotrexatePopulationInternal medicineIntensive care medicinePhysical therapyOncologyPharmacologyRituximab

Abstract

fetched live from OpenAlex

Abatacept is recommended by several expert consensus groups including the 2013 update of the EULAR recommendations for the pharmacologic management of rheumatoid arthritis (RA), as a potential choice for biologic therapy for patients with RA. Initially developed, studied, and approved as an intravenous (IV) formulation, abatacept is now also available as a subcutaneous (SC) injection. Having both options available makes abatacept a particularly versatile agent for the management of RA, greatly expanding the population of patients who could benefit from this treatment. This review provides a summary of the most important clinical trials that have investigated this molecule in both of its formulations, with a focus on the more recent trials evaluating the SC formulation, specifically the AMPLE study, the first major trial evaluating two biologic agents (abatacept and the tumor necrosis factor (TNF)-inhibitor adalimumab) in a head-to-head manner. In that study, SC abatacept was found to have an efficacy profile similar to that of SC adalimumab, both in combination with methotrexate.

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)0.000
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 score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.394
Teacher spread0.367 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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