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Record W3015886911 · doi:10.1111/jdv.16460

Safety in moderate‐to‐severe plaque psoriasis patients with latent tuberculosis treated with guselkumab and anti‐tuberculosis treatments concomitantly: results from pooled phase 3 VOYAGE 1 & VOYAGE 2 trials

2020· article· en· W3015886911 on OpenAlexaff
L. Puig, Tsen‐Fang Tsai, Tina Bhutani, J. Uy, P. Ramachandran, Michael Song, Yin You, Melinda Gooderham, Mark Lebwohl

Bibliographic record

VenueJournal of the European Academy of Dermatology and Venereology · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsSKiN Health
FundersJanssen Research and Development
KeywordsMedicineLatent tuberculosisInternal medicineConcomitantAdalimumabAdverse effectPsoriasisTuberculosisPlaceboIsoniazidGastroenterologyDermatologyMycobacterium tuberculosisTumor necrosis factor alphaPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Patients treated with tumour necrosis factor (TNF) inhibitors are at risk of new-onset tuberculosis (TB) or reactivation of latent tuberculosis infection (LTBI). Association between TB/LTBI and interleukin (IL)-23 inhibitors for psoriasis is unclear. Patients with LTBI typically initiate LTBI therapy before receiving biologics. OBJECTIVES: Safety in moderate-to-severe psoriasis patients with LTBI treated with guselkumab (IL-23 inhibitor) and LTBI treatment was evaluated. METHODS: In the VOYAGE 1 & VOYAGE 2 studies, patients screened for LTBI were randomized to guselkumab, placebo, or adalimumab (TNF inhibitor) at baseline. Placebo → guselkumab crossover occurred at week 16 and adalimumab → guselkumab at week 52 (VOYAGE 1), or at week 28 or later (VOYAGE 2). Incidence of active TB, adverse events (AEs), serious AEs (SAEs), and markedly abnormal liver function tests [alanine aminotransferase test (ALT); aspartate aminotransferase test (AST)] were evaluated using pooled data through week 100 in guselkumab-treated patients receiving and not receiving LTBI treatment. RESULTS: At baseline, 130 randomized patients (guselkumab: n = 69; adalimumab: n = 36; placebo: n = 25) tested positive for LTBI and received concomitant LTBI treatments (LTBI+). No active TB was reported among guselkumab-treated patients without LTBI (LTBI-) through week 100. Two cases of active TB occurred in LTBI- patients treated with adalimumab. Through week 16, across all treatment groups, greater proportions of LTBI+ patients reported ALT and AST elevations compared with LTBI- patients. Through week 100, proportions of patients experiencing AEs and SAEs were comparable between LTBI+ and LTBI- patients. CONCLUSIONS: No cases of active TB, including reactivation of LTBI, were reported in patients with or without LTBI treated with guselkumab through up to 2 years. LTBI treatment was effective across all treatment groups in preventing reactivation of LTBI. Long-term treatment with guselkumab was generally well-tolerated through up to 2 years in patients receiving LTBI medications.

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)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.006
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.256
Teacher spread0.228 · 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 designMeta-analysis
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

Citations29
Published2020
Admission routes1
Has abstractyes

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