Effect of Psoriatic Arthritis According to the Affected Categories of the International Classification of Functioning, Disability and Health
Bibliographic record
Abstract
OBJECTIVE: To determine the categories of the International Classification of Functioning, Disability and Health (ICF) checklist and core sets of rheumatoid arthritis and ankylosing spondylitis frequently occurring in people with psoriatic arthritis (PsA) and to compare the number of such categories with scores on self-report measures of participation restrictions and activity limitations. METHODS: Data were collected from 94 patients with PsA attending rheumatology clinics in 6 centers. For each ICF category affected by PsA in at least 30% of patients, the percentage of such patients was determined for Body Structures, Body Functions, Activities and Participation, and Environmental Factors. A count of all affected categories by ICF chapter was compared to patient self-report scores on a number of functional and health status instruments using Spearman's correlation. RESULTS: There were 25 categories in the Body Functions section, 6 categories in the Body Structures section, and 51 categories in the Activities and Participation section that were relevant in at least 30% of participants. Thirteen Environmental Factors were facilitating and 1 Environmental Factor (climate) was a barrier in at least 30% of participants. The number of involved Activities and Participation categories by chapter did not correlate in predictable ways with self-report measures of participation restrictions and activity limitations. CONCLUSION: PsA is associated with a wide range of impairments, limitations, and restrictions across the ICF categories. People with PsA find environmental factors to be helpful more often than to be barriers. The unexpected pattern of correlation between ICF chapters and self-report measures suggests the need for a better way of quantitatively representing the ICF concepts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".