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Record W4416141277 · doi:10.25251/9es69b60

Impact of Moderate-to-Severe Atopic Dermatitis on Daily Functioning among Adolescent Patients: A Real-World Study in the United States

2025· article· W4416141277 on OpenAlexaff
Amy S. Paller, Vimal H. Prajapati, Mercedes E. González, Zach Dawson, Evangeline Pierce, Eric Wolf, Niamh Harvey, Oliver Howell, David R. Bell, Lawrence F. Eichenfield

Bibliographic record

VenueSKIN The Journal of Cutaneous Medicine · 2025
Typearticle
Language
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsProbity Medical Research
Fundersnot available
KeywordsAtopic dermatitisQuality of life (healthcare)MoodDiseaseActivities of daily livingAlternative medicineMood swingPrimary care

Abstract

fetched live from OpenAlex

Background: Atopic dermatitis (AD) negatively impacts the daily lives of pediatric and adolescent patients, potentially leading to poor developmental and behavioral outcomes. Understanding the real-world disease burden and the impact of AD on the patients’ quality of life (QoL) after the introduction of new treatments for AD will help identify unmet clinical needs and approaches to improve the patients' QoL. Therefore, this study aims to understand the impact of AD on daily functioning in adolescent patients. Methods: This analysis used data from the 2025 Adelphi Pediatric AD Wave II Disease Specific Programme, which links cross-sectional surveys with retrospective data from patient their consulting physicians in the United States. Primary care physicians/internal medicine specialists, dermatologists, pediatricians, and allergists reported clinical information, including current AD severity, using patient record forms. Adolescent patients with physician-reported moderate-to-severe AD at the date of consultation were included for this analysis. Patients self-reported the impact of AD on different areas of their daily life on a scale using ‘all the time’, ‘sometimes’, ‘rarely’, and ‘never’, with rarely and never combined. Descriptive analyses were conducted. Results: Among 288 patients with moderate-to-severe AD, 24% (n=70) of patients self-reported the impact of AD. The patients had a mean (SD) age of 14.9 (1.5) years, with 47% female, and of those with known data (n=46) mean (SD) disease duration was 6.1 (5.3) years. Patients reported that due to their AD, they feel embarrassed (all the time: 24%; sometimes: 51%; rarely/never: 24%), self-conscious (all the time: 29%; sometimes: 44%; rarely/never: 27%), irritated or have mood swings (all the time: 9%; sometimes: 33%; rarely/never: 59%), anxious or constant worry (all the time: 13%; sometimes: 33%; rarely/never: 54%), and overwhelmed (all the time: 17%; sometimes: 22%; rarely/never: 61%). They also reported having low self-esteem (all the time: 16%; sometimes: 34%; rarely/never: 50%), difficulty in concentrating (all the time: 13%; sometimes: 20%; rarely/never: 67%), difficulty in relaxing (all the time: 11%; sometimes: 24%; rarely/never: 64%), and have low mood or feel depressed (all the time: 9%; sometimes: 29%; rarely/never: 63%). Conclusion: These results highlight the profound impact of AD on daily life in adolescent patients with moderate-to-severe disease, with one-quarter of patients feeling embarrassed or self-conscious about their AD all the time. These disease-associated burdens occur during key developmental milestones and can impact the overall course of the patient’s life. Therefore, these findings emphasize the need to carefully assess and consider patients' QoL when discussing treatment options.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.299
Teacher spread0.287 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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