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Record W2077342035 · doi:10.1007/s10227-004-2003-6

Incorporating Biologics into the Treatment of Psoriasis

2004· review· en· W2077342035 on OpenAlexaff
Harvey Lui, Richard G. Langley, Yves Poulin, Aditya K. Gupta, Wayne Carey, Lyn Guenther, Gordon E. Searles, John Toole, Charles Lynde, Wayne Gulliver, Kirk Barber

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2004
Typereview
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsMediprobe Research (Canada)
Fundersnot available
KeywordsMedicinePsoriasisDermatologyIntensive care medicine

Abstract

fetched live from OpenAlex

Current systemic therapies for psoriasis affect hyperkeratinization 1 or nonspecifically suppress the immune system. 2 While these therapies are effective in the treatment of psoriasis and have been in use for years, they each have specific limitations. Many current systemic therapies are associated with cumulative toxicities such as end organ damage, cancer, and teratogenesis, thus limiting their long-term use for managing psoriasis. 3 There is a significant, yet unmet need for therapy that is effective and well-tolerated without an attendant risk for systemic toxicity. 4 To help fulfill this need, the emerging generation of novel psoriasis therapies includes specific biologic agents (mainly protein-based therapies such as antibodies, fusion proteins, or recombinant cytokines) 5 that target the pathological effects of T-cells directly. 4 In some instances, these agents may be expected to induce long-lasting remissions with a favorable safety profile over currently available conventional therapies. 2 In determining the role of biologics in the treatment of psoriasis, it is necessary to understand the modes of action and potential advantages of biologics relative to the current systemic therapies. It is also appropriate to consider the profile of patients who would benefit from biologic therapy.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.996
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.084
GPT teacher head0.356
Teacher spread0.272 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations2
Published2004
Admission routes1
Has abstractyes

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