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Record W4365813762 · doi:10.1016/j.jdin.2023.04.002

The burden of palmoplantar pustulosis: A Canadian population-based study of inpatient care, emergency departments, and outpatient clinics

2023· article· en· W4365813762 on OpenAlexafffundabout
Jean‐Éric Tarride, Vimal H. Prajapati, Charles Lynde, Gord Blackhouse

Bibliographic record

VenueJAAD International · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsUniversity of TorontoCalgary Laboratory ServicesMcMaster UniversityImpactUniversity of CalgarySt. Joseph’s Healthcare HamiltonPrograms for Assessment of Technology in Health Research Institute
FundersSanofi GenzymeLEO PharmaGaldermaRegeneron PharmaceuticalsHamilton Health SciencesPfizerMcMaster UniversityBoehringer IngelheimValeant Pharmaceuticals InternationalSanofi
KeywordsMedicinePalmoplantar pustulosisEmergency departmentEmergency medicineCohortIncidence (geometry)Medical prescriptionDiagnosis codePopulationPsoriasisInternal medicineEnvironmental healthDermatology

Abstract

fetched live from OpenAlex

Background: Not much is known about the burden of palmoplantar pustulosis (PPP). Objectives: To document the burden of PPP in Canada, and to compare with psoriasis vulgaris (PV). Methods: Adult Canadians (excluding the province of Quebec) hospitalized or visiting an emergency department (ED) or hospital-/community-based clinic between April 1, 2007, and March 31, 2020, with a diagnostic code indicating PPP (ICD-10-CA: L40.3) or PV (ICD10-CA: L40.9 or L40.0) were identified using Canadian administrative data. 10-year prevalent- and 3-year incident-based approaches were conducted. Costs were determined when the most responsible diagnosis (MRD) for the admission was PPP or PV (MRD costs) and for all reasons (all-cause costs). Results: < .01). All-cause costs were lower for the PPP cohort in the prevalent and incident analyses. There were no differences in all-cause inpatient mortality between PPP and PV. Limitations: Physician and prescription data were not available. Conclusion: PPP patients incurred significantly higher MRD costs than PV 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 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)0.001
metaresearch head score (Gemma)0.002
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 score0.019
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.017
GPT teacher head0.272
Teacher spread0.255 · 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

Citations5
Published2023
Admission routes3
Has abstractyes

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