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Record W4210816637 · doi:10.2478/sjecr-2021-0066

The Diverse and Heterogeneous Clinical Features of Juvenile Psoriatic Arthritis

2021· article· en· W4210816637 on OpenAlexaboutno aff
С. Н. Чебышева, Елена Жолобова, Н.А. Геппе, K.V. Aleksanyan, А.V. Meleshkina, Khitrov Alexandr Nikolaevich, Saltykov Alexandr Borisovich, Tachieva Bella Isaevna, Vorobyev Sergey Ivanovich, Bolevich Stefani Sergeevna, Bolevich Sergey Brankovich

Bibliographic record

VenueSerbian Journal of Experimental and Clinical Research · 2021
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePsoriatic arthritisPsoriasisPolyarthritisArthritisDermatologyJuvenile rheumatoid arthritisDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Abstract Juvenile Psoriatic Arthritis (JPsA) is a chronic inflammatory disorder that accounts for 3-10% of all juvenile arthritis. The main objective is to identify the clinical features of psoriatic arthritis in children. This study was open-label, single-center, prospective, observational (1989-2020) cohort clinical study included 85 patients (3-17.0 y/o) who met Vancouver and I/E criteria. The features of skin and articular syndromes in children with JPsA were revealed. In most patients with PSA, the disease began at the age of 6.6 years. In childhood, arthritis is usually preceded by psoriasis. The most common clinical form of psoriasis is plaque psoriasis. At the onset of the disease, symmetric polyarthritis predominates. During the disease, transformation of the joint syndrome with a predominance of rheumatoid arthritis is noted. All observed patients showed pronounced osteoporosis, which is not characteristic of JPsA.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.097
GPT teacher head0.469
Teacher spread0.372 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueSerbian Journal of Experimental and Clinical ResearchSame topicAutoimmune and Inflammatory Disorders ResearchFrench-language works237,207