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Record W1977292388 · doi:10.3899/jrheum.111118

Nail Disease in Psoriatic Arthritis: Distal Phalangeal Bone Edema Detected by Magnetic Resonance Imaging Predicts Development of Onycholysis and Hyperkeratosis

2012· article· en· W1977292388 on OpenAlexvenueno aff
Nicola Dalbeth, Karen Pui, Maria Lobo, Anthony Doyle, Peter B. Jones, William J. Taylor, Fiona McQueen

Bibliographic record

VenueThe Journal of Rheumatology · 2012
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsOnycholysisMedicinePsoriatic arthritisMagnetic resonance imagingDermatologyHyperkeratosisNail (fastener)Nail diseaseArthritisEdemaPathologyPsoriasisRadiologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the association between magnetic resonance imaging (MRI) features of distal phalanx (DP) disease and the progression of nail pathology in psoriatic arthritis (PsA). METHODS: Clinical nail assessment and hand MRI scans were done on 34 patients with PsA. Twenty patients had repeat nail assessments after 1 year. RESULTS: Nails with onycholysis and hyperkeratosis at baseline were more likely to have corresponding DP bone erosion and proliferation on MRI. DP bone edema on baseline MRI was associated with development of onycholysis and hyperkeratosis in corresponding nails. CONCLUSION: Our data suggest that DP inflammation is central in the development of psoriatic nail disease.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.007
GPT teacher head0.229
Teacher spread0.222 · 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

Citations30
Published2012
Admission routes1
Has abstractyes

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