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Record W2146622649 · doi:10.3899/jrheum.130029

Clinical Features of Patients with Morphea and the Pansclerotic Subtype: A Cross-sectional Study from the Morphea in Adults and Children Cohort

2013· article· en· W2146622649 on OpenAlexvenueno aff
Andrew Kim, Nicholas Marinkovich, Rebecca Vasquez, Heidi Jacobe

Bibliographic record

VenueThe Journal of Rheumatology · 2013
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsnot available
FundersNational Center for Research ResourcesNational Center for Advancing Translational SciencesNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institutes of Health
KeywordsMorpheaMedicineLocalized SclerodermaCohortDemographicsDermatologyInternal medicineSeverity of illnessCohort studyDemography

Abstract

fetched live from OpenAlex

OBJECTIVE: Pansclerotic morphea is a poorly described form of morphea with little information on prevalence, demographics, and clinical features. Classification criteria for this subtype varies and the distinction from other forms of morphea, such as extensive generalized morphea and pansclerotic morphea, is not always clear. The purpose of our study was to clarify classification criteria for pansclerotic morphea by identifying its prevalence in the morphea in adults and children (MAC) cohort and describing its demographic and clinical features as compared with generalized morphea. METHODS: Patients who met predefined criteria for generalized and pansclerotic morphea were identified using a modified Laxer and Zulian classification system. Baseline demographic and clinical features of the patients were compiled and then analyzed for traits characteristic of pansclerotic morphea versus those of generalized morphea. One hundred and thirteen patients met the criteria for inclusion: pansclerotic (n = 13) and generalized morphea type (n = 100). RESULTS: Patients with pansclerotic morphea were more frequently male (46.2% vs 6%; p < 0.0001); had a shorter time to diagnosis (mean difference of 10.4 mos; 95% CI: 0.8-19.9 mos; p = 0.0332); higher rates of functional impairment (61.5% vs 16%; p = 0.0046); higher rates of deep involvement (61.5% vs 17%; p = 0.004); and higher average Rodnan Skin Score (mean difference of 10.8 points; 95% CI: 5-16.6; p = 0.0017), Localized Scleroderma Skin Damage Index (mean difference 28.3; 95% CI: 9-47.6; p = 0.009), and Physician Global Assessment of Disease Damage scores (mean difference 25.1; 95% CI: 0.3-50; p = 0.048). CONCLUSION: Our results suggest demographic and clinical features are sufficient to define the pansclerotic subtype as they represent a distinct clinical phenotype with a more rapidly progressive and severe course commonly accompanied by disability. Presence of features of the pansclerotic phenotype should alert practitioners to the possibility of significant morbidity and the need for early aggressive treatment.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.258
Teacher spread0.249 · 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".

Quick stats

Citations34
Published2013
Admission routes1
Has abstractyes

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