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Record W4224237183 · doi:10.1111/bjd.21615

The Validated Investigator Global Assessment for Atopic Dermatitis (vIGA-AD™): a clinical outcome measure for the severity of atopic dermatitis

2022· article· en· W4224237183 on OpenAlexaff
Eric L. Simpson, Robert Bissonnette, Amy S. Paller, Brett King, Jonathan I. Silverberg, Kristian Reich, Jacob P. Thyssen, Helen Doll, Luna Sun, Amy M. DeLozier, Fabio P. Nunes, Lawrence F. Eichenfield

Bibliographic record

VenueBritish Journal of Dermatology · 2022
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsInnovaderm (Canada)
FundersNational Center for Advancing Translational SciencesEli Lilly and Company
KeywordsAtopic dermatitisMedicineDermatologySkin barrier

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.360
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations57
Published2022
Admission routes1
Has abstractyes

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