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Record W2768493975 · doi:10.1111/pde.13281

Discordance of pediatric morphea treatment by pediatric dermatologists

2017· article· en· W2768493975 on OpenAlexaff
Megha M. Tollefson, Yvonne E. Chiu, Heather A. Brandling‐Bennett, Elena Pope

Bibliographic record

VenuePediatric Dermatology · 2017
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMorpheaMedicineDermatologyLocalized SclerodermaPediatrics

Abstract

fetched live from OpenAlex

BACKGROUND/OBJECTIVES: Studies describing treatment efficacy in pediatric morphea are lacking. Subspecialists have reached no consensus on how to optimally treat pediatric morphea. The objective of the current study was to describe the most common treatment practices of pediatric dermatologists worldwide who care for children with morphea. METHODS: A survey regarding topical treatment practices of pediatric morphea, with representative case-based scenarios, was distributed to pediatric dermatologists and results were tallied. RESULTS: The survey response rate was 13.4%, with 110 respondents in the final analysis. The majority of respondents agreed on red violaceous rim (99%), increased local warmth (75%), raised borders (69%), and dermal thickening (64%) as signs of disease activity. Respondents had less agreement on sclerotic lesions (41%), scaling (43%), dyspigmentation (19%), and atrophy (13%) as signs of disease activity. Ninety-two percent of respondents used primary therapy or monotherapy with topical medications, including 45% in linear morphea of the limbs and 37% in linear morphea of the head or neck. High-potency topical corticosteroids were most commonly used (80%), although respondents did not agree on specific regimens. Sixteen different treatment regimens were selected as first-line therapy for one case scenario of active disease. CONCLUSION: The survey found large variation in how pediatric dermatologists treat pediatric morphea. Consensus treatment guidelines developed by pediatric dermatologists and pediatric rheumatologists are urgently needed regarding the efficacy of therapies for pediatric morphea. Prospective studies of treatment efficacy in pediatric morphea are urgently needed as well.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.027
GPT teacher head0.298
Teacher spread0.270 · 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 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

Citations13
Published2017
Admission routes1
Has abstractyes

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