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Record W2108305026 · doi:10.1093/rheumatology/kes122

Developing an effective treatment algorithm for rheumatoid arthritis

2012· review· en· W2108305026 on OpenAlexaff
E. Keystone, Josef S Smolen, Piet L. C. M. van Riel

Bibliographic record

VenueLara D. Veeken · 2012
Typereview
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsUniversity of Toronto
FundersF. Hoffmann-La RochePfizer
KeywordsMedicineRheumatoid arthritisDiseaseRegimenMethotrexateInternal medicineArthritisPhysical therapy

Abstract

fetched live from OpenAlex

RA is defined by the interrelated triad of disease activity, joint damage and disability. Although disease activity and its associated disability are reversible, joint damage and its associated disability are not. Thus, an important goal of RA therapy is to maximally reduce disease activity and thereby mitigate the accumulation of irreversible joint damage. Treatment for patients with RA should be initiated early and aggressively, with frequent assessments and a goal of achieving remission as quickly as possible after treatment initiation. We propose a treatment algorithm that recommends early and aggressive therapy with high-dose MTX therapy (15-25 mg/week), which may include moderate doses of glucocorticoids. The goal is to achieve low disease activity (determined by a composite measure that includes joint counts) within 3-6 months. If low disease activity is not achieved by 6 months, another conventional DMARD or a biologic agent should be added to the treatment regimen or patients should be switched to another DMARD plus a glucocorticoid. Once low disease activity is achieved, the treatment goal for the ensuing 3-6 months becomes disease remission.

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 score0.996
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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.052
GPT teacher head0.355
Teacher spread0.303 · 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

Citations41
Published2012
Admission routes1
Has abstractyes

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