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Record W4391162403 · doi:10.1093/ecco-jcc/jjad212.0808

P678 Long-term efficacy, safety and health-related quality of life in patients who achieved comprehensive disease control with filgotinib in SELECTION: analysis of ~3 years in SELECTIONLTE

2024· article· en· W4391162403 on OpenAlexaff
B G Feagan Senior Scientific Officer, Katsuyoshi Matsuoka, Gerhard Rogler, David Laharie, Séverine Vermeire, Silvio Danese, Edward V. Loftus, Ian Beales, Stefan Schreiber, H J Kim, Margaux Faes, Tomasz Masior, C Rudolph, Laurent Peyrin‐Biroulet

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsMcGill University Health CentreLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsTerm (time)MedicineSelection (genetic algorithm)Disease controlComputer scienceEnvironmental healthArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Background Filgotinib (FIL), an oral, once-daily, Janus kinase 1 inhibitor, was approved for Ulcerative Colitis (UC) treatment after the phase 2b/3 SELECTION trial (NCT02914522). In SELECTION, a greater proportion of FIL200 mg (FIL200)-treated than placebo-treated patients achieved comprehensive disease control (CDC), a stringent multi-component endpoint. We examined the long-term outcomes of achieving CDC in patients continuing on FIL200 in the ongoing long-term extension (LTE) study SELECTIONLTE (NCT02914535). Methods This interim analysis included adult patients with UC who completed SELECTION and received ≤144 weeks of FIL200 in the LTE (up to data cut-off 24/02/22). CDC (biomarker remission, endoscopic improvement, IBDQ remission and partial Mayo Clinic Score [pMCS] remission achieved concurrently) was assessed at SELECTION week 58 (LTE baseline [BL]). Mean pMCS and IBDQ score, use of corticosteroids (CS) and incidence of TEAEs and serious TEAEs in the LTE were compared between SELECTION CDC achievers and non-achievers. A mixed model for repeated measures was fitted on pMCS and IBDQ score, with CDC achiever status, study visit and the interaction between CDC achiever status and study visit as fixed effects; p values were nominal. Results We analysed 148 patients (CDC achievers, n=41; CDC non-achievers, n=107). Mean pMCS was stable in CDC achievers (0.44, LTE BL; 0.50, LTE week 144) and decreased in CDC non-achievers (1.49, LTE BL; 0.77, LTE week 144; Figure). Mean IBDQ score was stable in CDC achievers (204.05, LTE BL; 197.21, LTE week 144) and increased in CDC non-achievers (181.55, LTE BL; 196.37, LTE week 144; Figure). There was a significant beneficial effect of achieving CDC on pMCS and IBDQ score overall (pMCS: fixed effect estimate: −0.5542, p=0.0025; IBDQ score: fixed effect estimate: 13.1585, p=0.0042). There was a significant interaction between achieving CDC and study visit for IBDQ score (p=0.0183), with the benefit of achieving CDC lessening by week 144. Generally, a lower proportion of CDC achievers used CS than non-achievers; 2.4–7.3% of CDC achievers used CS vs 1.9–15.9% of CDC non-achievers. Incidence of TEAEs and serious TEAEs were stable over time and similar between CDC achievers and non-achievers. Conclusion Follow-up for ~3 years showed high levels of long-term benefit with continued FIL200 treatment. Achieving comprehensive disease control at the end of the randomized trial with FIL200 was associated with long-term efficacy, improved HRQoL and low overall use of CS. This may demonstrate the value of filgotinib-induced achievement of CDC in UC disease course. The safety profile of FIL200 was consistent between CDC achievers and non-achievers, suggesting an acceptable long-term benefit–risk profile.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.019
GPT teacher head0.310
Teacher spread0.291 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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