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Record W4409251528 · doi:10.1093/rheumatology/keaf090

Executive Summary: The 2025 British Society for Rheumatology guideline for the treatment of axial spondyloarthritis with biologic and targeted synthetic DMARDs

2025· article· en· W4409251528 on OpenAlexaff
Sizheng Steven Zhao, Stephanie R Harrison, Ben Thompson, Max Yates, Joe Eddison, Antoni Chan, Nick Clarke, Charlotte Davis, Lambert Felix, Kalveer Flora, William J Gregory, Gareth T. Jones, Christopher A Lamb, Helena Marzo‐Ortega, Daniel J. Murphy, Harry Petrushkin, Virinderjit Sandhu, Raj Sengupta, Stefan Siebert, Daniëlle van der Windt, Dale Webb, Zenas Z N Yiu, Karl Gaffney

Bibliographic record

VenueLara D. Veeken · 2025
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsArthritis Society
FundersMedical Research CouncilVersus ArthritisNational Institute for Health and Care ResearchNew York State Department of HealthPfizerNIHR Newcastle Biomedical Research CentreBritish Society for RheumatologyLeeds Biomedical Research CentreManchester Biomedical Research CentreEli Lilly and Company
KeywordsGuidelineRheumatologyMedicineAxial spondyloarthritisInternal medicineExecutive summaryFamily medicineMedical physicsOncologyAnkylosing spondylitisBusinessPathologyFinance

Abstract

fetched live from OpenAlex

Background and rationale for guideline development: Axial spondyloarthritis (axSpA) is a chronic inflammatory condition that predominantly affects the spine and sacroiliac joints [1]. It can also involve peripheral joints and entheses, and extra-musculoskeletal manifestations (EMMs) such as acute anterior uveitis, psoriasis and IBD. Since the previous version of the British Society for Rheumatology (BSR) axSpA guideline [2], which only included TNF inhibitors, pharmacological treatment options and strategies for axSpA have expanded, alongside rapid advancements in the treatment of EMMs as index conditions. In this increasingly complex and evolving therapeutic landscape, we aimed to update the guideline for health professionals in the UK who care for adults with axSpA.

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)0.012
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.044
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0040.002
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0460.039

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 head0.015
GPT teacher head0.280
Teacher spread0.265 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueLara D. VeekenSame topicSpondyloarthritis Studies and TreatmentsFrench-language works237,207