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Measuring Signs of Atopic Dermatitis in Clinical Practice

2024· article· en· W4398223265 on OpenAlex
M. E. Jacobson, Yael A. Leshem, Christian Apfelbacher, Phyllis I. Spuls, Louise A. A. Gerbens, Kim S Thomas, Hywel C Williams, Norito Katoh, Laura Howells, Jochen Schmitt, Stefanie Deckert, Rishi Seshadri, Eric L. Simpson

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJAMA Dermatology · 2024
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtopic dermatitisEczema Area and Severity IndexContext (archaeology)Systematic reviewClinical PracticeMEDLINEHealth carePatient-reported outcomeBest practiceQuality of life (healthcare)Family medicinePhysical therapyMedical physicsNursingDermatology

Abstract

fetched live from OpenAlex

Importance: Outcome measurement is an essential component of value-based health care and can aid patient care, quality improvement, and clinical effectiveness evidence generation. The Harmonising Outcome Measures for Eczema Clinical Practice initiative aims to identify a list of validated, feasible, outcome measurement instruments recommended to measure atopic dermatitis (AD) in the clinical practice setting. The clinical practice set is a list of instruments that clinicians can pick and choose from to suit their needs in the context of clinical care. Objective: To recommend instruments to measure clinical signs of AD in clinical practice. Evidence Review: Following the predefined roadmap, a mixed methods design was implemented and incorporated systematic reviews and qualitative consensus methods. Previous systematic reviews identified few clinical signs instruments with sufficient validation for recommendation. An updated systematic review evaluating the validity of clinical signs instruments informed an international meeting to reach consensus on recommended instruments to measure AD clinical signs in clinical practice. Consensus was defined as less than 30% disagreement. An in-person consensus exercise was held in Montreal, Canada, on October 16, 2022. The 34 attendees included patient and patient advocate research partners, health care professionals, researchers, methodologists, and industry representatives. Findings: The updated systematic review found that the Eczema Area and Severity Index (EASI), Scoring Atopic Dermatitis, and objective Scoring Atopic Dermatitis were the only instruments that demonstrated sufficient performance in all assessed measurement properties. The modified EASI and Signs Global Assessment × Body Surface Area instruments were also recommended. The EASI, Validated Investigator Global Assessment, and Investigator's Global Assessment multiplied by or measured concurrently with a body surface area measure achieved consensus in criteria and were adopted. Conclusions and Relevance: This consensus statement by the Harmonising Outcome Measures for Eczema initiative suggests that when assessing and documenting clinical signs of AD, there are several valid and feasible instruments that can best fit a clinician's specific practice needs. These instruments should improve and standardize the documentation of signs severity, help determine the effect of treatment, facilitate the generation of clinical effectiveness evidence, and enhance the implementation of value-based health care.

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.

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)0.000
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 score0.142
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.046
GPT teacher head0.355
Teacher spread0.309 · 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