The Romanian Translation and Cultural Adaptation of the Early Arthritis for Psoriatic Patients (EARP) Questionnaire, Psoriasis Epidemiology Screening Tool (PEST), and Toronto Psoriatic Arthritis Screen 2 (ToPAS 2)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: Psoriasis is a chronic inflammatory condition mediated by the immune system with various manifestations. The increased prevalence of subclinical joint involvement has led to the development of early diagnostic methods for psoriatic arthritis, including several instruments that have been validated and used in clinical practice. The aim of this study was to perform the Romanian translation, cultural adaptation, and validation of three assessment tools: the Early Arthritis for Psoriatic Patients (EARP) Questionnaire, Psoriasis Epidemiology Screening Tool (PEST), and Toronto Psoriatic Arthritis Screen 2 (TOPAS 2), which are designed to evaluate early-stage arthritis in patients with psoriasis. METHODS: All the activities were carried out in accordance with the internationally recognized methodology recommended by the International Society for Pharmacoeconomics and Outcome Research (ISPOR), the recommendations of the World Health Organization (WHO) regarding the translation process and the validation of instruments, and data from the international literature. These three questionnaires were administered to 29 patients with psoriasis diagnosed by biopsy. A descriptive study was conducted and the data were analyzed with appropriate statistical tests using the PSPP program. A reliability test was assessed using Cronbach's alpha coefficient. RESULTS: The obtained values were significant for the first two questionnaires, with a value of 0.89 for the EARP and 0.63 for the PEST, but the value was not as significant for ToPAS2, at 0.40. CONCLUSIONS: This pilot study revealed that the Romanian and original versions of the three questionnaires are similar.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| 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) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it