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Record W4408225227 · doi:10.58931/cdt.2024.54130

Paradoxical Psoriasis Induced by TNF Inhibitors and Beyond: A Review

2024· review· en· W4408225227 on OpenAlexaff
David Croitoru

Bibliographic record

VenueCanadian dermatology today. · 2024
Typereview
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsPsoriasisTumor necrosis factor alphaMedicineDermatologyImmunology

Abstract

fetched live from OpenAlex

Paradoxical psoriasis (PP) represents an uncommon but well-documented adverse effect that occurs following exposure to tumour necrosis factor-alpha (TNF-α) inhibitors. There is growing evidence that this reaction may not be class-specific, as the indications for biologic interventions (interleukin [IL]12/23, IL23, IL17, IL4/13) broaden in chronic inflammatory diseases. However, cumulative evidence amongst other classes remains limited to case reports. The pathogenesis of this reaction to TNF inhibitors has been postulated and experimentally supported as a switch toward interferon (IFN) production by antigen-presenting cells, however, the mechanism with other biologics remains elusive. The baseline association of classical psoriasis (non-drug induced) with the seronegative rheumatic and gastrointestinal inflammatory diseases treated by TNF inhibitors, initially made this reaction a challenge to define and study. As evidence has grown, PP has been defined as psoriatic lesions that arise de novo or as morphologically atypical exacerbations of pre-existing known psoriasis during TNF-α therapy. These lesions may persist and worsen unless treated, commonly requiring systemic therapeutic adjustments. This review explores the epidemiology, pathogenesis, clinical manifestations, and management of PP, with an emphasis on patient outcomes and recommendations based on primary data, systematic reviews, and contributions from key researchers in the field.

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), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.606
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.024
GPT teacher head0.278
Teacher spread0.253 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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