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Record W1888848129 · doi:10.1177/1759720x15591801

Atherosclerosis in psoriatic disease: latest evidence and clinical implications

2015· review· en· W1888848129 on OpenAlexaff
Lihi Eder, Dafna D. Gladman

Bibliographic record

VenueTherapeutic Advances in Musculoskeletal Disease · 2015
Typereview
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsMedicinePsoriatic arthritisPsoriasisDiseaseInflammationMethotrexateObservational studyRisk factorInternal medicinePopulationAtherosclerotic cardiovascular diseaseRheumatoid arthritisImmunology

Abstract

fetched live from OpenAlex

It is widely accepted that atherosclerosis is caused by chronic low-grade inflammation that results from an interaction between immune mechanisms and metabolic abnormalities within the vessel wall. Population-based studies have found an increased cardiovascular risk in patients with psoriasis and psoriatic arthritis (PsA). This risk is higher in patients with severe disease phenotypes, such as those with severe psoriasis and with musculoskeletal inflammation. Higher levels of inflammatory biomarkers also predict the development of clinical cardiovascular events in these patients. The effect of medications used for PsA on cardiovascular risk is limited to observational studies. Antitumor necrosis factor agents and methotrexate have been associated with reduced cardiovascular risk. These data highlight the importance of screening for cardiovascular risk factors in these patients.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.098
GPT teacher head0.417
Teacher spread0.319 · 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 designOther design
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

Citations56
Published2015
Admission routes1
Has abstractyes

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