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Record W1750138230

Remission in psoriatic arthritis.

2001· article· en· W1750138230 on OpenAlexaff
Dafna D. Gladman, E N Hing, Catherine T. Schentag, Richard J. Cook

Bibliographic record

VenuePubMed · 2001
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsMedicinePsoriatic arthritisArthritisComplete remissionInternal medicineUnivariate analysisPsoriasisSurgeryInflammatory arthritisMultivariate analysisChemotherapyDermatology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the frequency of remission in psoriatic arthritis (PsA), to describe the characteristics of remission in PsA, and to identify features associated with remission in PsA. METHODS: Patients with PsA are followed prospectively according to a standard protocol. Only patients with > or =3 visits and those with peripheral arthritis were included in this study. Patients who sustained remission, defined as no actively inflamed joints on at least 3 consecutive visits, were compared to patients with persistent inflammation throughout the followup period (nonremission). RESULTS: Among 391 patients with peripheral arthritis and > or =3 visits, 69 patients sustained remission and 178 had persistent inflammatory activity. The frequency of remission was thus 17.6%. The average duration of remission was 2.6 years. However, 52% of the patients experienced flare after a mean of 1.8 years. Univariate analyses revealed that male sex, fewer actively inflamed and damaged joints, and better functional class at presentation to clinic were associated with remission. CONCLUSION: Remission does occur in PsA and may be prolonged. There are clinical characteristics of patients at their first clinic visit that are associated with future remission.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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)0.0020.000

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 head0.022
GPT teacher head0.242
Teacher spread0.220 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations89
Published2001
Admission routes1
Has abstractyes

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