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Psoriatic arthritis: clinical and ultrasound parallels

2020· article· en· W3087572662 on OpenAlexaboutno aff
И. Ф. Файрушина, E. Kirillova, Д. И. Абдулганиева, Е. В. Сухорукова, E. I. Mukhametshina

Bibliographic record

VenueModern Rheumatology Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsEnthesitisEnthesisPsoriatic arthritisMedicineSynovitisPsoriasisPsoriasis Area and Severity IndexUltrasoundInternal medicineArthritisAnkylosing spondylitisSurgeryDermatologyRadiologyTendon

Abstract

fetched live from OpenAlex

Objective: to assess the relationship of the clinical characteristics and laboratory inflammatory markers to the ultrasound signs of synovitis and enthesitis in patients with psoriatic arthritis (PsA). Patients and methods. Examinations were made in 63 patients diagnosed with PsA according to the 2006 Classification Criteria for Psoriatic Arthritis (CASPAR) criteria. Among the patients, the majority were females (54.2%); the mean age was 42.9±10.3 years; the median (Me) PsA duration was 7 [3; 10] years; Me Disease Activity in Psoriatic Arthritis (DAPSA) was 16.5 [11.6; 25] years.All the patients underwent estimation of tender joint count, swollen joint count, tender entheseal count, inter alia using the Leeds Enthesitis Index (LEI), Maastricht Ankylosing Spondylitis Enthesis Score (MASES), and Spondyloarthritis Research Consortium of Canada (SPARCC). The investigators determined PsA activity by DAPSA and the prevalence and severity of psoriasis by the Psoriasis Area and Severity Index (PASI) and also estimated erythrocyte sedimentation rate (ESR) and high-sensitivity CRP (hs-CRP) levels. Ultrasonography was used to assess bilateral upper and lower limb joints, by calculating joint counts (JC) with synovitis signs (SJC), as well as tendon and ligament entheses (a total number of 54 in one patient), by determining the presence of vascularized enthesis count (VEC) and structurally changed enthesis count (SCEC) and using the ultrasound indices (Glasgow Ultrasound Enthesitis Scoring System (GUESS), Belgrade Ultrasound Enthesitis Score (BUSES), Madrid Sonography Enthesitis Index (MASEI), Sonographic Enthesitis Index (SEI)). Results and discussion. There were no significant differences in the frequency of damage to the upper (15.7%) and lower (19.3%) limb joints (p>0.05), whereas inflammation in the entheses of the lower limbs (23.2%) was significantly more common than that in the upper limbs (15.3%) (p<0.01). A weak relationship was established between SPARCC and SEI (r=0.276; p<0.05). A positive correlation was found between VEC and hs-CRP levels (r=0.323, p=0.01), ESR (r=0.332, p<0.01). Ultrasound imaging showed that SJC (p<0.01), enthesitis count (p<0.01), and SCEC (p<0.05) increased with age. The relationship between SCEC and GUESS (r=0.724; p<0.01) and that between the VEC and BUSES (r=0.562, p<0.01) proved to be more pronounced. Conclusion. Ultrasound imaging indicates that the entheses of the lower limbs are more frequently affected in patients with PsA. There is no relationship between DAPSA and ultrasound inflammatory changes in the joints and extra-articular structures. A strong relationship is established between enthesiseal structural and inflammatory changes and GUESS and BUSES, respectively, which allows one to recommend the use of these indices for assessing enthesitis in PsA. Entheseal vascularization associated with inflammatory markers (hs-CRP, ESR) (p<0.05) is a manifestation of PsA activity regardless of age and DAPSA.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.035
GPT teacher head0.308
Teacher spread0.273 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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