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Record W4380988690 · doi:10.1177/2050313x231181035

The use of interleukin-23 inhibitors to treat immune-related psoriasis induced by immune checkpoint inhibitors and in patients with active cancer: A case series and review of the literature

2023· article· en· W4380988690 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSAGE Open Medical Case Reports · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsPsoriasisMedicineImmune systemCancerMelanomaAdverse effectInterleukinSkin cancerImmunologyDermatologyOncologyInternal medicineCytokineCancer research

Abstract

fetched live from OpenAlex

Immune checkpoint inhibitors have revolutionized cancer treatment but can induce immune-related adverse events including psoriasis. Managing immune-related psoriasis or psoriasis in a cancer setting is challenging with a lack of safety data. We describe three patients receiving interleukin-23 inhibitors to manage psoriasis in an active cancer setting, including one with immune-related psoriasis. Interleukin-23 inhibitors were effective for all patients. While being on interleukin-23 inhibitors, one patient had cancer partial response, one had deep partial response but then progressed and died from her melanoma, and one suffered melanoma progression.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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