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Record W2174794845 · doi:10.1177/1203475415616073

Psoriasis and Smoking

2015· review· en· W2174794845 on OpenAlexaff
Vincent Richer, C. Roubille, Patrick Fleming, Tara Starnino, Collette McCourt, Alexandra McFarlane, Stephanie Siu, J. Kraft, Charles Lynde, Janet Pope, Stephanie Keeling, Jan Dutz, Louis Bessette, Wayne Gulliver, Boulos Haraoui, Robert Bissonnette

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2015
Typereview
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsInnovaderm (Canada)Centre Hospitalier de l’Université de MontréalMemorial University of NewfoundlandCentre hospitalier universitaire de QuébecUniversity of British ColumbiaUniversity of TorontoWestern UniversityHôpital du Sacré-Cœur de MontréalLynde Centre for DermatologyUniversity of AlbertaUniversité de MontréalHôpital Notre-DameHôpital Saint-Luc
Fundersnot available
KeywordsPsoriasisMedicineRelative riskDermatologyMEDLINEInternal medicineConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND: Smoking has been associated with psoriasis prevalence and severity. OBJECTIVE: To evaluate prevalence of smoking in patients with psoriasis and to examine the relationship between smoking and psoriasis severity. METHODS: MEDLINE, EMBASE, and Cochrane databases (1960-2012) and conference proceedings (2010-2012) were systematically searched using keywords relevant to psoriasis and smoking. Controlled studies addressing psoriasis and smoking status were included. A meta-analysis for the relative risk of smoking in psoriasis patients was performed. RESULTS: Meta-analysis identified a significant association between smoking and psoriasis with a relative risk of 1.88 (95% CI, 1.66-2.13) for smoking in patients with psoriasis versus patients without psoriasis. Eight articles of 11 with data on smoking and psoriasis severity suggested that severity increases with smoking status. CONCLUSIONS: This literature review is in favor of a positive association between the prevalence of smoking and psoriasis as well as an association between smoking and severity of psoriasis.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score0.913

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.000
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 head0.076
GPT teacher head0.313
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations83
Published2015
Admission routes1
Has abstractyes

Explore more

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