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Record W4286255965 · doi:10.1016/j.jaad.2022.07.019

Long-term 2-year safety and efficacy of tralokinumab in adults with moderate-to-severe atopic dermatitis: Interim analysis of the ECZTEND open-label extension trial

2022· article· en· W4286255965 on OpenAlexaff
Andrew Blauvelt, Richard G. Langley, J.‐P. Lacour, Darryl Toth, Vivian Laquer, Stefan Beissert, Andreas Wollenberg, Pedro Herranz, Andrew Pink, Ketty Peris, Stine Fangel, Le Gjerum, Joshua Corriveau, Hidehisa Saeki, Richard B. Warren, Eric L. Simpson, Kristian Reich

Bibliographic record

VenueJournal of the American Academy of Dermatology · 2022
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsProbity Medical ResearchDalhousie University
FundersLEO Pharma Research Foundation
KeywordsMedicineAdverse effectAtopic dermatitisEczema Area and Severity IndexPlaceboIncidence (geometry)Interim analysisPediatricsClinical endpointConfidence intervalRandomized controlled trialPost-hoc analysisPhysical therapyInternal medicineDermatologyAlternative medicine

Abstract

fetched live from OpenAlex

BackgroundAdditional long-term treatments are needed for moderate-to-severe atopic dermatitis (AD). An ongoing, open-label, 5-year extension trial, ECZTEND (NCT03587805), assesses tralokinumab plus optional topical corticosteroids in participants from previous tralokinumab parent trials (PTs) with moderate-to-severe AD.ObjectiveTo evaluate the safety and efficacy of up to 2 years tralokinumab treatment in a post hoc interim analysis.MethodsSafety analyses included adults from completed PTs enrolled in ECZTEND, regardless of tralokinumab exposure duration. Efficacy analyses included adult participants treated with tralokinumab in ECZTEND for ≥1 year and subgroup analyses of those on tralokinumab for 2 years (1 year from PT, 1 year in ECZTEND). Primary end point was the number of adverse events with additional efficacy end points.ResultsParticipants on tralokinumab had an exposure-adjusted rate of 237.8 adverse events/100 patient-years’ exposure (N = 1174) in the safety analysis set. Exposure-adjusted incidence rates of common adverse events were comparable to PTs, although at lower rates. With 2 years of tralokinumab, improvements in extent and severity of AD were sustained, with Eczema Area and Severity Index (EASI-75) in 82.5% of participants (N = 345).LimitationsPossible selection bias; no placebo arm; some participants experienced treatment gaps between PTs and ECZTEND.ConclusionOver 2 years, tralokinumab was well tolerated and maintained long-term control of AD signs and symptoms. Additional long-term treatments are needed for moderate-to-severe atopic dermatitis (AD). An ongoing, open-label, 5-year extension trial, ECZTEND (NCT03587805), assesses tralokinumab plus optional topical corticosteroids in participants from previous tralokinumab parent trials (PTs) with moderate-to-severe AD. To evaluate the safety and efficacy of up to 2 years tralokinumab treatment in a post hoc interim analysis. Safety analyses included adults from completed PTs enrolled in ECZTEND, regardless of tralokinumab exposure duration. Efficacy analyses included adult participants treated with tralokinumab in ECZTEND for ≥1 year and subgroup analyses of those on tralokinumab for 2 years (1 year from PT, 1 year in ECZTEND). Primary end point was the number of adverse events with additional efficacy end points. Participants on tralokinumab had an exposure-adjusted rate of 237.8 adverse events/100 patient-years’ exposure (N = 1174) in the safety analysis set. Exposure-adjusted incidence rates of common adverse events were comparable to PTs, although at lower rates. With 2 years of tralokinumab, improvements in extent and severity of AD were sustained, with Eczema Area and Severity Index (EASI-75) in 82.5% of participants (N = 345). Possible selection bias; no placebo arm; some participants experienced treatment gaps between PTs and ECZTEND. Over 2 years, tralokinumab was well tolerated and maintained long-term control of AD signs and symptoms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.321
Teacher spread0.300 · 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 designObservational
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

Citations75
Published2022
Admission routes1
Has abstractyes

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