The Multidimensional Burden of Atopic Dermatitis Among Adults
Bibliographic record
Abstract
Importance: Atopic dermatitis (AD) is long term and burdensome. Studies investigating disease burden in adults are limited in scope with gaps in understanding of the adult patient lived experience. Objective: To describe the multidimensional burden of AD among mainly US adults. Design, Setting, and Participants: This survey study for an externally led patient-focused drug development meeting with the US Food and Drug Administration on adult patients with AD was conducted between August 1, 2019, and October 11, 2019. Data were analyzed betwean March 26, 2021, and June 29, 2021. Main Outcomes and Measures: We used multivariable ordinal regression to assess associations between demographic and clinical variables and patient-reported overall AD impact scores (ordinal scale from 1 [no impact] to 5 [significant impact]). Results: Among 1065 survey respondents, 114 (11%) were aged 18 to 24 years, 235 (22%) were 25 to 34 years, 242 (23%) were 35 to 50 years, 288 (27%) were 51 to 64 years, and 186 (17%) were aged 65 years or older; 881 (83%) were women. Four hundred eighty-nine (46%) participants reported low-moderate AD impact scores (2-3), 544 (51%) reported high-significant impact scores (4-5), whereas 32 (3%) reported no association of AD with disease burden (impact score, 1). Variables strongly associated with overall impact scores were current AD severity (moderate: OR, 4.13; 95% CI, 2.94-5.79; severe: OR, 13.63; 95% CI, 8.65-21.50 vs mild), and time spent managing AD (11-20 hours: OR, 2.67; 95% CI, 1.77-4.03, ≥21 hours: OR, 5.34; 95% CI, 3.22-8.85, vs <5 hours). Conclusions and Relevance: In this survey study, AD severity and time spent managing symptoms showed the strongest associations with disease burden. This analysis highlights the multidimensional burden of AD in adults and emphasizes the need for more effective treatment strategies that reduce the time patients spend managing their AD.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".