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Record W3202674490 · doi:10.1097/der.0000000000000799

Iatrogenic Burden of Atopic Dermatitis

2021· review· en· W3202674490 on OpenAlexvenueno aff
Raj Chovatiya, Jonathan I. Silverberg

Bibliographic record

VenueDermatitis · 2021
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
FundersAgency for Healthcare Research and QualityGalderma
KeywordsMedicinePolypharmacyAtopic dermatitisNarrative reviewQuality of life (healthcare)Intensive care medicineNursingDermatology

Abstract

fetched live from OpenAlex

ABSTRACT: The management required for atopic dermatitis (AD) may worsen patient burden, thereby resulting in iatrogenic burden, that is, morbidity caused by medical treatment. We sought to describe the iatrogenic burden of AD and conducted a narrative review of key areas that clinicians can address to minimize it. Clinicians should think strategically about itch trigger avoidance, encourage slow incorporation of lifestyle changes, and emphasize step-up therapy when avoidance becomes too burdensome. Out-of-pocket treatment costs should be incorporated into shared decision making to balance affordability, preference, efficacy, and safety. Polypharmacy should be minimized by eliminating ineffective, nonevidence-based, and redundant therapies while appropriately stepping up to advanced therapy. Clinicians should take adequate time to communicate, the impact of AD on quality of life, and incorporate evidence-based guidelines. The multidimensional nature of AD requires a dynamic approach. Future guidelines should incorporate step-up, step-down, and maintenance approaches to reduce treatment burden and improve quality of life.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.634
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
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)0.0020.000

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 head0.026
GPT teacher head0.315
Teacher spread0.289 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations10
Published2021
Admission routes1
Has abstractyes

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