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Record W2085498159 · doi:10.2310/7750.2010.10013

Long-Term Prognosis and Comorbidities Associated with Psoriasis in the Newfoundland and Labrador Founder Population

2011· article· en· W2085498159 on OpenAlexaffabout
Wayne Gulliver, Don MacDonald, Neil Gladney, Reza Alaghehbandan, Proton Rahman, K. Adam Baker

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2011
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsNewfoundland and Labrador Centre for Applied Health ResearchMemorial University of Newfoundland
Fundersnot available
KeywordsMedicinePsoriasisPopulationComorbidityCohortDiseaseObservational studyCohort studyPediatricsInternal medicineDermatologyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Psoriasis is a common chronic immune-mediated inflammatory disorder of the skin with several associated comorbidities. OBJECTIVE: To assess the prevalence of comorbidities in a cohort of psoriasis patients within the Canadian province of Newfoundland and Labrador (NL). METHODS: This cross-sectional observational study investigated hospital-coded comorbidities associated with psoriasis in comparison to the general NL hospitalized population. RESULTS: Patients died significantly younger than the general population, with patients having an earlier disease onset (≤ 25 years) dying at a younger age than those with a later onset (> 25 years; 59.3 vs 71.2; p = .001). Patients were hospitalized more frequently for several system disorders than the general population, and a potential association was observed between prognostic factors such as age at onset, disease severity, and HLA-Cw6 genotype and certain comorbid conditions. CONCLUSION: This study supports an association between psoriasis and other conditions, such as circulatory and endocrine diseases.

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 score0.271
Threshold uncertainty score0.545

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 studies0.0010.000
Scholarly communication0.0010.000
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 head0.046
GPT teacher head0.247
Teacher spread0.202 · 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

Citations29
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Cutaneous Medicine and SurgerySame topicPsoriasis: Treatment and PathogenesisFrench-language works237,207