The Validated Investigator Global Assessment for Atopic Dermatitis (vIGA-AD™): a clinical outcome measure for the severity of atopic dermatitis
Bibliographic record
Abstract
BACKGROUND: The validated Investigator Global Assessment for Atopic Dermatitis (vIGA-AD™) is a standardized severity assessment for use in clinical trials and registries for atopic dermatitis (AD). OBJECTIVES: To investigate the reliability, validity, responsiveness and within-patient meaningful change of the vIGA-AD. METHODS: Data were analysed from adult patients with moderate-to-severe AD in the BREEZE-AD1 (N = 624 patients; NCT03334396), BREEZE-AD2 (N = 615; NCT03334422) and BREEZE-AD5 (N = 440; NCT03435081) phase III baricitinib clinical studies. RESULTS: Across studies, test-retest reliability for stable patients showed moderate-to-good agreement [range of Kappa values for Patient Global Impression of Severity-Atopic Dermatitis (PGI-S-AD), 0·516-0·639; for Eczema Area and Severity Index (EASI), 0·658-0·778]. Moderate-to-large correlations between vIGA-AD and EASI or body surface area (range at baseline, 0·497-0·736; Week 16, 0·716-0·893) supported convergent validity. Known-groups validity was demonstrated vs. EASI and PGI-S-AD (vIGA-AD for severe vs. moderate EASI categories at baseline, P < 0·001). Responsiveness was demonstrated vs. EASI (P < 0·001 for much improved vs. improved and improved vs. stable). Anchor- and distribution-based methods supported a vIGA-AD change of -1·0 as clinically meaningful. These findings are limited to populations defined by the studies' inclusion and exclusion criteria. CONCLUSIONS: The vIGA-AD demonstrated sufficient reliability, validity, responsiveness and interpretation standards for use in clinical trials. What is already known about this topic? A description of the development of the validated Investigator Global Assessment for Atopic Dermatitis (vIGA-AD™) has been published previously. What does this study add? The current study validates the vIGA-AD by demonstrating appropriate test-retest reliability, convergent validity, known-groups validity and responsiveness across three baricitinib clinical studies. In addition, a 1-point change was identified as a clinically meaningful patient-perceived change minimal clinically important difference in the vIGA-AD. What are the clinical implications of the work? The vIGA-AD is a measure for investigator assessment of atopic dermatitis suitable for use in clinical research.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".