Validation of a simple activity participation measure for rheumatoid arthritis clinical trials
Bibliographic record
Abstract
OBJECTIVE: To examine the validity, reliability and sensitivity to change of the Activity Participation Questionnaire (APaQ), a simple measure of activity participation for patients with RA. METHODS: The questionnaire contained two items: (i) number of days in the past month of being unable to perform one's usual activities because of RA; and (ii) a score measuring how often one's usual activities could be completed. The APaQ was administered to 1043 RA patients in two clinical trials of abatacept. Construct validity was evaluated by examining changes from baseline in activity scores by clinical response measured by the European League Against Rheumatism (EULAR) and ACR criteria and minimal disease activity (MDA) state and by correlations with patient-reported outcome measures of physical function, disease activity, pain and fatigue at study end-point. Internal consistency, test-retest reliability and sensitivity to change were assessed. RESULTS: Both activity participation items were significantly associated with levels of EULAR and ACR response and the achievement of MDA state (P < 0.0005 for all comparisons). Moderate correlations with patient-reported outcomes were consistently found (correlations 0.5-0.6). Cronbach's alpha was 0.7 indicating good internal consistency, the intraclass correlation coefficient of 0.6 suggesting acceptable test-retest reliability. Sensitivity to change was demonstrated by the treatment differences and the standardized response mean (0.39 and 0.30) for the two activity items. CONCLUSION: The APaQ is a simple, reliable and valid measure of patient activity, which is sensitive to change, suggesting its suitability for use in clinical trials.
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 | 0.155 | 0.237 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".