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Record W2598495427 · doi:10.3899/jrheum.161047

Utility of Dose Frequency Adjustment in Tocilizumab Administration for Rheumatoid Arthritis

2017· article· en· W2598495427 on OpenAlexvenueno aff
Shuntaro Saito, Yuko Kaneko, Keisuke Izumi, Tsutomu Takeuchi

Bibliographic record

VenueThe Journal of Rheumatology · 2017
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTocilizumabRheumatoid arthritisAdministration (probate law)ArthritisAntirheumatic AgentsInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the utility of dose frequency adjustment of tocilizumab (TCZ) in rheumatoid arthritis (RA). METHODS: Patients who received TCZ at 3-week (n = 24) or 5-week (n = 61) interval were evaluated. RESULTS: Disease Activity Score at 28 joints based on erythrocyte sedimentation rate in the 3-week group significantly improved after 3 administrations at 3-week intervals (from 4.2 to 2.7, p = 0.001). Forty-five of the patients in the 5-week group (74%) successfully continued 5-week interval administration without disease exacerbation. Lower C-reactive protein level at TCZ initiation and shorter duration to remission achievement were key to successful dose frequency reduction. CONCLUSION: Adjusting the dose frequency of intravenous TCZ is a useful strategy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.030
GPT teacher head0.323
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2017
Admission routes1
Has abstractyes

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