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Record W4405257802 · doi:10.1177/2050313x241304954

Anti-tumor necrosis factor-alpha inhibitor-induced linear psoriasis: A case report

2024· article· en· W4405257802 on OpenAlexaff
Olivia C. MacIntyre, Kerri Purdy

Bibliographic record

VenueSAGE Open Medical Case Reports · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineTumor necrosis factor alphaPsoriasisAlpha (finance)DermatologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

A 56-year-old male presented to the clinic for follow-up of severe, longstanding hidradenitis suppurativa. On physical examination, there was a linear Blaschkoid distribution of erythematous scaly papules extending from the left upper arm toward the scapular mid-back region. A clinical diagnosis of linear psoriasis was made, and the patient's dosage interval of infliximab was decreased to every 6 weeks. The patient was offered Betamethasone diproprionate/calcipotriol (Enstilar) topical foam to use daily which demonstrated efficacy in clearing 90% of the affected areas. This case illustrates the potential for Betamethasone diproprionate/calcipotriol (Enstilar) topical foam use as a treatment approach for anti-tumor necrosis factor-alpha inhibitor-induced linear psoriasis. At present there is no consensus on linear psoriasis pathogenesis or best treatment approach, therefore, more research is needed to understand its pathogenesis and establish management guidelines.

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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0040.002

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 head0.032
GPT teacher head0.311
Teacher spread0.279 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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