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Record W4375855360 · doi:10.2217/imt-2023-0062

Treatment of Plaque Psoriasis with Deucravacitinib (Poetyk Pso-2 Study): A Plain Language Summary

2023· article· en· W4375855360 on OpenAlexaff
Bruce Strober, Diamant Thaçi, Howard Sofen, Leon Kircik, Kenneth B. Gordon, Peter Foley, Phoebe Rich, C. Paul, Jerry Bagel, Elizabeth Colston, John Throup, Sudeep Kundu, Chitra Sekaran, Misti Linaberry, Subhashis Banerjee, Kim Papp

Bibliographic record

VenueImmunotherapy · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsProbity Medical Research
FundersBristol-Myers Squibb
KeywordsPsoriasisPlaque psoriasisMedicineDermatology

Abstract

fetched live from OpenAlex

What is this summary about? This is a summary of a paper published in a medical journal that describes the results of a study called POETYK PSO-2, which investigated a new treatment for plaque psoriasis. Plaque psoriasis appears on the body as dry, discolored, patches of skin that can be flaky and covered in scales. This can make the skin itch, crack or bleed and make it difficult for people with psoriasis to perform basic everyday tasks. Treatments are available, but some do not always reduce symptoms or may need to be injected or taken multiple times a day, which can be difficult to do, or can have undesirable side effects. Researchers are looking for new treatments for psoriasis.What happened in the study? Deucravacitinib is a once-daily pill taken by mouth (orally) that was studied as a treatment for moderate to severe plaque psoriasis in two large studies conducted globally, PSO-1 and PSO-2. POETYK PSO-2 was a Phase 3 research study, which is a study that tests a treatment in a large group of participants, that looked at how well deucravacitinib worked in participants with moderate to severe plaque psoriasis compared to a placebo (an inactive pill that has no effect) and an approved psoriasis treatment called apremilast, which is a pill taken twice a day. These medications were tested in adults with moderate to severe plaque psoriasis, which is psoriasis involving 10% or more of their body (equal to 10 or more handprints). The aims of the POETYK PSO-2 study were to find out if treatment with deucravacitinib could improve psoriasis for the participants in the study and to see if there were any side effects. Side effects are events that happened during treatment that may or may not be caused by that treatment. The study also wanted to find out what would happen after stopping treatment with deucravacitinib in participants who had shown major improvements in their psoriasis.What do the results of the POETYK PSO-2 study show? After 4 months of treatment, more participants taking deucravacitinib had significantly greater improvements in psoriasis than those taking placebo or apremilast. The study also showed that participants continued to see these improvements after taking deucravacitinib for up to 1 year. Some participants maintained the improvements in their psoriasis with deucravacitinib after stopping treatment and switching to a placebo. Side effects for participants taking deucravacitinib were generally mild and occurred in similar numbers to those in participants taking placebo. The most common side effects in participants taking deucravacitinib were inflammation of the nose and throat (a common cold) which occurred at a similar rate in participants who took placebo.Clinical Trial Registration: NCT03611751 (POETYK PSO-2 study) (ClinicalTrials.gov)To read the full Plain Language Summary of this article, click here to view the PDF.Link to original article here

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0110.005

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 head0.267
Teacher spread0.249 · 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 designRandomized trial
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

Citations12
Published2023
Admission routes1
Has abstractyes

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