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Record W3094082904 · doi:10.1080/09546634.2020.1840502

Antihistamines-refractory chronic pruritus in psoriatic patients undergoing biologics: aprepitant vs antihistamine double dosage, a real-world data

2020· article· en· W3094082904 on OpenAlexaff
Giovanni Damiani, Khalaf Kridin, Alessia Pacifico, Piergiorgio Malagoli, P. D. Pigatto, Renata Finelli, Fabio Silvio Taccone, Lorenzo Peluso, Rosalynn R.Z. Conic, Nicola Luigi Bragazzi

Bibliographic record

VenueJournal of Dermatological Treatment · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsYork University
Fundersnot available
KeywordsMedicineAprepitantPsoriasisAntihistamineRefractory (planetary science)Psoriatic arthritisInternal medicineDermatologyApremilastGastroenterologyAnesthesiaPharmacologyChemotherapyAntiemetic

Abstract

fetched live from OpenAlex

BACKGROUND: Psoriasis-related pruritus (PRP) in patients under systemic treatment is challenging. The risk to switch anti-psoriatic drugs and to lose response to previous therapy is high, thus dermatologists prefer to add an anti-pruritic agent. OBJECTIVES: To evaluate the effect of anti-histamines and aprepitant in treating PPR of psoriatic patients undergoing systemic anti-psoriatic therapies. METHODS: A pilot observational open-label study was performed on responsive psoriatic patients with PPR under treatment. Initial therapy included oral rupatadine (10 mg/day for 30 days). In case of the Epworth Sleepiness Scale (ESS) was above 14, patients were switched to aprepitant (80 mg/day for 7 days), otherwise, rupatadine dosage was increased (20 mg/day for 7 days). Clinical evaluation was performed at the baseline (T0) and after 7 days (T7). RESULTS: < .01). CONCLUSIONS: Aprepitant may be a valid alternative in PPR patients with ESS >14 under antihistamines.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.066
GPT teacher head0.293
Teacher spread0.227 · 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 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

Citations14
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Dermatological TreatmentSame topicPsoriasis: Treatment and PathogenesisFrench-language works237,207