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Record W2766073524 · doi:10.1097/der.0000000000000323

Predictors of Hospitalization, Length of Stay, and Costs of Care Among Adult and Pediatric Inpatients With Atopic Dermatitis in the United States

2017· article· en· W2766073524 on OpenAlexvenueno aff
Shanthi Narla, Derek Y. Hsu, Jacob P. Thyssen, Jonathan I. Silverberg

Bibliographic record

VenueDermatitis · 2017
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
FundersLundbeckfonden
KeywordsMedicineAtopic dermatitisMEDLINEDemographyEnvironmental healthFamily medicinePediatricsEmergency medicineDermatology

Abstract

fetched live from OpenAlex

INTRODUCTION: Little is known about the risk factors of hospitalization for atopic dermatitis (AD). OBJECTIVES: We sought to determine associations of hospitalization for AD in the United States. METHODS: Data were analyzed from the 2002 to 2012 National Inpatient Sample. Atopic dermatitis hospitalizations were compared with controls, which included all hospitalizations without any diagnosis of AD excluding normal pregnancy/delivery, yielding a representative cohort of US hospitalizations. RESULTS: Both adults and children, who were admitted for AD or eczema, were more likely to have nonwhite race/ethnicity, lowest-quartile annual household income, Medicaid or no insurance, and fewer chronic conditions. Increased cost of care and prolonged length of stay were also associated with nonwhite race/ethnicities, lowest-quartile annual household income, Medicaid or no insurance, and having a higher number of chronic conditions. CONCLUSIONS: There are significant racial/ethnic and socioeconomic differences between patients hospitalized with AD versus without it, suggesting that there may be racial/ethnic and/or health care disparities in 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 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 score0.005
Threshold uncertainty score0.266

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)0.0000.000

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 head0.004
GPT teacher head0.222
Teacher spread0.218 · 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

Citations43
Published2017
Admission routes1
Has abstractyes

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