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Record W2187613254 · doi:10.3899/jrheum.150672

Diagnostic Challenges of SAPHO Syndrome

2015· letter· en· W2187613254 on OpenAlexvenueno aff
Matteo Colina

Bibliographic record

VenueThe Journal of Rheumatology · 2015
Typeletter
Languageen
FieldMedicine
TopicOsteomyelitis and Bone Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsSAPHO syndromeMedicinePustulosisHyperostosisOsteitisSynovitisDermatologyPalmoplantar pustulosisSurgeryOsteomyelitisArthritisInternal medicinePsoriasis

Abstract

fetched live from OpenAlex

To the Editor: I have read with great interest the article by Aljuhani, et al 1, regarding a large monocentric case series of patients with synovitis, acne, pustulosis, hyperostosis, and osteitis (SAPHO) syndrome. I fully agree with Aljuhani, et al on the frequent involvement of soft tissues around inflamed bone, with the consequent diagnostic difficulties. SAPHO syndrome, in fact, could be a real diagnostic challenge, and Aljuhani, et al described a significant diagnostic delay; this is important because the diagnostic delay leads to inappropriate investigations and prescriptions. With regard to diagnostic delay, it is worth recalling that skin lesions may not be accounted for when they are episodic or appear after bone lesions2. In 1987, Chamot, et al 3 suggested the acronym SAPHO to unify various conditions characterized mainly by osteitis/hyperostotic … Address correspondence to Dr. M. Colina; E-mail: m.colina{at}ausl.imola.bo.it

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)0.002
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: none
Teacher disagreement score0.657
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.042
GPT teacher head0.301
Teacher spread0.259 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2015
Admission routes1
Has abstractyes

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