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Record W2092428801 · doi:10.1097/bor.0000000000000077

The effect of tumor necrosis factor-blockade on new bone formation in ankylosing spondylitis

2014· review· en· W2092428801 on OpenAlexaff
Nigil Haroon

Bibliographic record

VenueCurrent Opinion in Rheumatology · 2014
Typereview
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsAnkylosing spondylitisMedicineTumor necrosis factor alphaTumor necrosis factor αDiseaseBlockadeNecrosisSpondylitisInternal medicineOncologyBioinformaticsReceptor

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Treatment of ankylosing spondylitis (AS) has seen remarkable advances since the introduction of therapies targeting tumor necrosis factor-alfa (TNFα). In addition to the excellent disease control achieved by these agents, recent evidence points to a possible disease-modifying potential of the drug. This novel finding can potentially change the landscape of AS treatment. RECENT FINDINGS: In this review, existing knowledge on mechanisms of new bone formation and ways to quantify and prevent progression are discussed. Evidence for disease-modifying potential of NSAIDs, short-term and long-term studies on TNFα inhibitors, and AS progression are discussed. A follow-up of more than 4 years is required to study disease modification in AS. Early and long-term therapy with tumor necrosis factor inhibitors appears to slow radiographic progression in AS. SUMMARY: New evidence for a disease-modifying potential of tumor necrosis factor inhibitors can change the AS treatment paradigm. VIDEO ABSTRACT: http://links.lww.com/COR/A16.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.055
GPT teacher head0.378
Teacher spread0.323 · 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
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

Citations4
Published2014
Admission routes1
Has abstractyes

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