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Musculoskeletal manifestations and autoimmune diseases related to new biologic agents

2005· review· en· W1553542055 on OpenAlexaff
Boulos Haraoui, Edward Keystone

Bibliographic record

VenueCurrent Opinion in Rheumatology · 2005
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsUniversity of TorontoMount Sinai HospitalUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsMedicineCytopeniaAutoantibodyPsoriatic arthritisDermatologyEtanerceptAnkylosing spondylitisRheumatoid arthritisImmunologyArthritisVasculitisSystemic lupus erythematosusRheumatoid factorPsoriasisPathologyDiseaseAntibody

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The anti-tumor necrosis factor agents are now widely used in the management of patients with rheumatoid arthritis, ankylosing spondylitis, psoriatic arthritis and juvenile inflammatory arthritis. One of the most common observations made during their use is the development of autoantibodies. The purpose of this paper is to review this phenomenon and its clinical implications. RECENT FINDINGS: While the development of different autoantibodies is a common encounter, rare cases of lupus-like syndromes have been reported. On the other hand, a variety of immune-mediated clinical manifestations have been described, including vasculitis and demyelinating syndromes. Rare cases of cytopenia and non-specific lung injuries have also been reported. SUMMARY: While these clinical complications are rare and isolated events, clinicians must be aware of their occurrence. The experience with the anti-tumor necrosis factor agents is rather short and new, unusual immune-mediated complications may still appear. Clinicians should be prepared to recognize them.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.879
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.110
GPT teacher head0.457
Teacher spread0.347 · 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 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

Citations49
Published2005
Admission routes1
Has abstractyes

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