Measurement properties of selected patient-reported outcome measures for use in randomised controlled trials in patients with systemic lupus erythematosus: a systematic review
Bibliographic record
Abstract
OBJECTIVE: The heterogeneous multisystem manifestations of SLE include fatigue, pain, depression, sleep disturbance and cognitive dysfunction, and underscore the importance of a multidimensional approach when assessing health-related quality of life. The US Food and Drug Administration has emphasised the importance of patient-reported outcomes (PROs) for approval of new medications and Outcome Measures in Rheumatology has mandated demonstration of appropriate measurement properties of selected PRO instruments. METHODS: Published information regarding psychometric properties of the Medical Outcomes Survey Short Form 36 (SF-36), Lupus Quality of Life Questionnaire (LupusQoL) and Functional Assessment of Chronic Illness Therapy-Fatigue Scale (FACIT-F), and their suitability as end points in randomised controlled trials (RCTs) and longitudinal observational studies (LOS) were assessed. A search of English-language literature using MEDLINE and EMBASE identified studies related to development and validation of these instruments. Evidence addressed content validity, reliability (internal consistency and test-retest reliability), construct validity (convergent and divergent) and longitudinal responsiveness, including thresholds of meaning and discrimination. RESULTS: All instruments demonstrated strong internal consistency, reliability and appropriate face/content validity, indicating items within each instrument that measure the intended concept. SF-36 and LupusQoL demonstrated test-retest reliability; although not published with FACIT-F in SLE supported by evidence from other rheumatic diseases. All instruments demonstrated convergent validity with other comparable PROs and responsivity to treatment. CONCLUSION: The measurement properties of PRO instruments with published data from RCTs including: SF-36, LupusQoL and FACIT-F indicate their value as secondary end points to support labelling claims in RCTs and LOS evaluating the efficacy of SLE treatments.
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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 | 0.066 | 0.249 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.016 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".