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Record W2943965979 · doi:10.1177/2050313x19845193

Treatment of moderate to severe psoriasis with apremilast over 2 years in the context of long-term treated HIV infection: A case report

2019· article· en· W2943965979 on OpenAlexaff
Misha Zarbafian, Benoît Côté, Vincent Richer

Bibliographic record

VenueSAGE Open Medical Case Reports · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsUniversité de MontréalUniversity of British Columbia
Fundersnot available
KeywordsApremilastMedicinePsoriasisAcitretinMucocutaneous zoneDermatology Life Quality IndexDermatologyContext (archaeology)Body surface areaPsoriasis Area and Severity IndexHypertriglyceridemiaHuman immunodeficiency virus (HIV)Internal medicineImmunologyDisease

Abstract

fetched live from OpenAlex

Treatment of moderate-to-severe psoriasis in patients with HIV infection is a clinical challenge. We present the case of a patient with a longstanding history of well-controlled HIV. He had failed topical management, and his hypertriglyceridemia made use of acitretin potentially unsafe. He was unable to regularly attend a phototherapy unit. Physical examination revealed 12% total body surface area involvement with a Psoriasis Area Severity Index (PASI) of 10.2. His Dermatology Quality of Life Index (DLQI) was 20. After 3 months of apremilast treatment, his PASI decreased to 4.1. After 7 months, his PASI decreased to 2.7 and his DLQI to 1. Two years later, his PASI score was 2.4, with a stable CD4 count of 1200 cells/mm3 and an undetectable viral load. There were no serious opportunistic infections or laboratory abnormalities. To our knowledge, this represents the second reported case of psoriasis treatment with apremilast in a patient with HIV.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.018
GPT teacher head0.277
Teacher spread0.260 · 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 designCase report
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

Citations10
Published2019
Admission routes1
Has abstractyes

Explore more

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