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Record W2325423896 · doi:10.3899/jrheum.150635

An Integrative Approach to Biomarker Development in Psoriatic Arthritis

2015· review· en· W2325423896 on OpenAlexvenueno aff
Christopher T. Ritchlin

Bibliographic record

VenueJournal of Rheumatology Supplement · 2015
Typereview
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBiomarker discoveryPsoriatic arthritisBiomarkerComputational biologyEpigeneticsModalitiesBioinformaticsArthritisInternal medicineProteomicsGeneGeneticsBiology

Abstract

fetched live from OpenAlex

The recent discovery that the interleukin 23/Th17 pathway is pivotal in the pathogenesis of psoriatic arthritis (PsA) creates new opportunities for the development of mechanistic biomarkers that will assist in the diagnosis and management of this disorder. While biomarkers are still in the discovery phase, new approaches including multiplex panels, fine sequencing of epigenetic and genetic data in non-coding regions of the human genome, and improved imaging modalities will likely foster the development of actionable biomarkers in PsA. In this report, I review the field of biomarkers, underscore the importance of an integrative approach that incorporates both descriptive and mechanistic biomarkers, and discuss the status of biomarker discovery in PsA.

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)0.001
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 score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.000
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 head0.366
Teacher spread0.314 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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