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Record W2888777463 · doi:10.1097/der.0000000000000406

Pain and Itch Are Dual Burdens in Atopic Dermatitis

2018· article· en· W2888777463 on OpenAlexvenueno aff
Melody Maarouf, Bryan Kromenacker, Korey Capozza, Darren Kempton, Aleksi J. Hendricks, Khiem A. Tran, Vivian Y. Shi

Bibliographic record

VenueDermatitis · 2018
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtopic dermatitisCohortPhysical therapyQuality of life (healthcare)Cohort studyDermatology Life Quality IndexOdds ratioConcomitantNeuropathic painSeverity of illnessDermatologyInternal medicineDiseaseAnesthesia

Abstract

fetched live from OpenAlex

BACKGROUND: Despite being widely reported by patients with atopic dermatitis (AD), pain symptoms, unlike itch, have not been widely assessed. OBJECTIVE: The aim of the study was to understand the distinct pain symptoms in patients with AD. METHODS: Responses from an anonymous questionnaire were collected from our eczema clinic (in-person survey) and collaboration with Global Parents for Eczema Research Group and the National Eczema Association (online survey) to assess skin pain among patients with AD 5 years and older. Eczema Area and Severity Index was measured in the clinic cohort to correlate with pain symptoms. CONCLUSIONS: In our international cohort of 103 patients with AD, 78% reported concomitant pain and itch. The greatest pain burden occurred on the hands (odds ratio [OR], 0.77), perioral region (OR, 0.74), and toes (OR, 0.7), corresponding to regions with the greatest sensory nerve density. Pain was most commonly described as "burning" and "stinging," particularly when lesions were red, cracked, and dry. Its presence significantly interfered with sleep, leisure activities, and activities of daily living. Among the clinic cohort, we observed a strong Spearman correlation between objective Eczema Area and Severity Index score and subjective skin pain. It is imperative that clinicians understand patients' unique pain burden to best evaluate clinical severity and quality-of-life interference.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.134
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.011
GPT teacher head0.253
Teacher spread0.242 · 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

Citations39
Published2018
Admission routes1
Has abstractyes

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