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Record W2810108657 · doi:10.2147/oarrr.s169152

Treatment of rheumatoid arthritis in the USA: premature use of tumor necrosis factor inhibition and underutilization of concomitant methotrexate

2018· article· en· W2810108657 on OpenAlexaff
James R. O’Dell, Stanley Cohen, Carter Thorne, Joel M. Kremer

Bibliographic record

VenueOpen Access Rheumatology Research and Reviews · 2018
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsSouthlake Regional Health CenterUniversity of Toronto
FundersMedacCelgeneAmgenPfizerEli Lilly and CompanyGlaxoSmithKline
KeywordsMedicineCohortRheumatoid arthritisConcomitantMethotrexateInternal medicineCohort studyTumor necrosis factor alphaOncology

Abstract

fetched live from OpenAlex

PURPOSE: The objective of this study was to assess the treatment for patients with rheumatoid arthritis (RA) in the USA. PATIENTS AND METHODS: This study entailed analysis of claims data for patients with RA who initiated treatment with oral methotrexate (MTX) or a biologic in 2009 (n=48,910) or 2012 (n=107,636) and had follow-up for 4 years (2009 cohort) or 2 years (2012 cohort). RESULTS: A biologic was initiated before MTX for 27% of the 2009 cohort and 36% of the 2012 cohort. Concomitant use of MTX and a biologic declined from 74.1% (2009 cohort) to 45.4% (2012 cohort). CONCLUSION: MTX is underused in the treatment of RA in the USA.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.232
GPT teacher head0.465
Teacher spread0.233 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations4
Published2018
Admission routes1
Has abstractyes

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