MétaCan
Menu
Back to cohort
Record W2955483855 · doi:10.1007/s40744-019-0165-3

Translating Improvements with Ixekizumab in Clinical Trial Outcomes into Clinical Practice: ASAS40, Pain, Fatigue, and Sleep in Ankylosing Spondylitis

2019· article· en· W2955483855 on OpenAlexaff
Philip J. Mease, Jessica A. Walsh, Xenofon Baraliakos, Robert D. Inman, Kurt de Vlam, James Cheng‐Chung Wei, Theresa Hunter, Gaia Gallo, David Sandoval, Fangyi Zhao, Yanhong Dong, Rebecca Bolce, Helena Marzo‐Ortega

Bibliographic record

VenueRheumatology and Therapy · 2019
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersSchool of MedicineUniversity of UtahGenentechCelgeneChugai PharmaceuticalAmgenPfizerEli Lilly and CompanyKU LeuvenU.S. Department of Veterans Affairs
KeywordsIxekizumabMedicineAnkylosing spondylitisPlaceboPhysical therapyRepeated measures designInternal medicineClinical trialClinical endpointSecukinumabDiseasePsoriatic arthritisAlternative medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Ixekizumab, a humanized interleukin-17A antibody, has shown efficacy in ankylosing spondylitis (AS), with a greater proportion of ixekizumab-treated patients achieving an ASAS40 (Assessment of Spondyloarthritis International Society 40) endpoint compared to placebo. An ASAS40 response is a high standard that is not routinely used in clinical practice. The goals of this study were (a) to measure improvement in ixekizumab-treated patients in the four ASAS treatment response domains and in other patient-reported outcomes, and (b) to determine how the ASAS response was associated with changes in spinal pain at night, fatigue, sleep, and the Short Form 36-Item Physical Component Summary (SF-36 PCS). METHODS: The COAST-V and COAST-W trials were randomized, double-blind, controlled trials examining ixekizumab efficacy in patients with AS who were biologic disease-modifying antirheumatic drug (bDMARD)-naïve and tumor necrosis factor inhibitor (TNFi)-experienced, respectively. Data for the ASAS treatment response domains and other outcomes were collected through 16 weeks. Comparisons between treatment groups were made using a mixed-effects model for repeated measures. To determine how the ASAS response was associated with the changes in spinal pain at night, fatigue, sleep, and SF-36 PCS, comparisons were made between patient groups according to their level of treatment response (ASAS40 vs. ASAS20 vs. ASAS20 nonresponse) using analysis of covariance. RESULTS: Compared with placebo, patients treated with ixekizumab reported significantly greater improvement in the four ASAS treatment response domains and other outcomes (p < 0.05). Results were consistent for bDMARD-naïve and TNFi-experienced patients. Compared to ASAS20 nonresponders, patients who achieved ASAS40 reported significantly greater mean changes in spinal pain at night (1.0 vs. 5.1 for bDMARD-naïve; 0.5 vs. 5.4 for TNFi-experienced), fatigue (0.6 vs. 3.8 for bDMARD-naïve; 0.2 vs. 3.9 for TNFi-experienced), sleep quality (1.1 vs. 4.0 for bDMARD-naïve; 0.8 vs. 4.9 for TNFi-experienced), and SF-36 PCS (2.6 vs. 11.6 for bDMARD-naïve; 1.2 vs. 12.6 for TNFi-experienced) (p < 0.0001). CONCLUSION: Patients with AS who were treated with ixekizumab reported greater improvements in multiple patient-reported outcomes than patients who received placebo. Importantly, achieving ASAS40 was associated with a 2.6-fold to 5.3-fold greater improvement in pain, fatigue, sleep, and quality of life for bDMARD-naïve patients, and a 5.1-fold to 18.5-fold greater improvement for TNFi-experienced patients, compared to ASAS20 nonresponders. TRIAL REGISTRATION: ClinicalTrials.gov identifiers: NCT02696785 and NCT02696798. FUNDING: Eli Lilly and Company.

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)0.080
metaresearch head score (Gemma)0.105
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.080
Threshold uncertainty score0.424

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0800.105
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.041
GPT teacher head0.394
Teacher spread0.353 · 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 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

Citations28
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueRheumatology and TherapySame topicSpondyloarthritis Studies and TreatmentsFrench-language works237,207