Patients with psoriatic arthritis have worse quality of life than those with psoriasis alone
Bibliographic record
Abstract
OBJECTIVE: PsA is an inflammatory arthritis present in ∼30% of people with psoriasis (PsC). Both conditions have a significant impact on quality of life (QoL). Our objective was to test the hypothesis that people with PsA have poorer QoL than patients with PsC because of the added burden of arthritis, age and comorbidities. METHODS: Consecutive patients with PsA (CASPAR criteria) and PsC were approached to participate in this study. Patients with PsC were examined by a rheumatologist using a standardized protocol to exclude PsA. Patients completed the HAQ, Medical Outcome Study 36-item Short Form Health Survey, Dermatology Life Quality Index (DLQI), EuroQoL 5 domains (EQ-5D) and Fatigue Severity Scale (FSS). Mean scores were compared and multivariate analyses were conducted to compare the QoL measures between the two patient groups. RESULTS: Two hundred and one patients with PsC and 201 patients with PsA were studied. A significant decrease in QoL for patients with PsA compared with those with PsC was identified by all questionnaires except for the DLQI. This skin-specific questionnaire revealed a lower QoL in patients with PsC. Multivariate analyses for each QoL measure confirmed the results of these analyses. After adjusting for age, sex, duration of PsC, comorbidities, DMARDs and biologic therapy, HAQ and DLQI were independently associated with PsA in a logistic regression. CONCLUSION: Patients with PsA have a poorer QoL compared with those with PsC as measured by all questionnaires except the DLQI.
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".