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P-101 Incidence of Anti-drug Antibodies in Crohnʼs Disease Patients During 5 Years of Certolizumab Pegol Therapy

2016· article· en· W2331564155 on OpenAlexaff
William J. Sandborn, Marla C. Dubinsky, Gordana Kosutic, Marshall Spearman, Iram Hasan, Jason Coarse, Theodore Ptak, Ziad Younes, Ira Shafran, Scott Lee, Anita Afzali, Reena Khanna, Brian G. Feagan

Bibliographic record

VenueInflammatory Bowel Diseases · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsRobarts Clinical Trials
Fundersnot available
KeywordsCertolizumab pegolMedicineDosingInternal medicinePlaceboAntibodyVedolizumabGastroenterologyMaintenance therapyConcomitantIncidence (geometry)DiseaseCrohn's diseaseImmunologyInfliximabChemotherapyPathology

Abstract

fetched live from OpenAlex

Any biologic drug, whether human, chimeric, or “humanized,” can cause an immune response, leading to antidrug antibody (ADAb) formation which can cause treatment failure of tumor necrosis factor (TNF) antagonists. The prevalence of ADAb is dependent upon multiple factors, including assay type, route of administration, dosing schedule, and use of concomitant treatments. Currently, no robust long-term ADAb prevalence data exist for any of the TNF antagonists that are used to treat Crohn's disease. We evaluated the prevalence of certolizumab pegol ADAb (CZP-ADAb) with long-term treatment. Patients who enrolled in C87085 (a 6-week, randomized, placebo-controlled study) and either: (1) had disease deterioration in the first 2 weeks of the trial (defined as an increase in Crohn's disease activity index [CDAI] ≥70 points relative to baseline or absolute CDAI ≥350 points); or (2) completed the 6-week trial and were eligible for inclusion in C87088 (a 5-year, open-label extension [OLE] study). Regardless of treatment assignment during the placebo-controlled C87085 trial, all patients in C87088 received CZP induction of 400 mg at Weeks 0, 2, and 4, followed by maintenance therapy with CZP 400 mg every 4 weeks until week 262. Plasma concentrations of CZP and CZP-ADAb were measured by ELISA in samples collected prior to dosing at weeks 0, 6, 32, 52, 100, 160, 208, and the Final/Withdrawal visit. Patients were considered CZP-ADAb positive if the titer was >2.4 units/mL at any time. The cumulative frequency of patients with CZP-ADAb was defined as the number of patients who were CZP-ADAb positive at each visit (numerator) divided by the number of evaluable patients (denominator). Overall, 10.2% (41/402) of patients were CZP-ADAb positive over the course of both studies; 3 patients (all in the C87085 CZP 400 mg group) had developed CZP-ADAb between the start of C87085 and the start of C87088. Development of CZP-ADAb most frequently occurred within the first 32 weeks of treatment during C87088. The cumulative frequency of CZP-ADAb detected was ≤6.2% at each time point measured. As expected, geometric mean CZP plasma concentrations were substantially lower in patients who were CZP-ADAb positive (range of means during C87088: 0.88–15.25 μg/mL, excluding the Withdrawal visit) compared with those who were CZP-ADAb negative (range of means during C87088: 8.33–29.89 μg/mL, excluding the Withdrawal visit). No meaningful differences were observed in the types or prevalence of adverse events (AEs), serious AEs, or AEs leading to discontinuation of medication\study withdrawal between ADAb-positive and -negative patients based on CZP-ADAb status. A total of 41 patients (10.2%) were CZP-ADAb positive over the course of both the qualifying study (C87085) and this 5-year OLE study, C87088. Meaningful differences in AEs, serious AEs, or AEs leading to withdrawal based on CZP-ADAb status were not observed. Given the small number of patients who were positive for CZP-ADAb, no conclusions can be drawn with regard to the effect of CZP-ADAb status on disease improvement with treatment.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.005
GPT teacher head0.225
Teacher spread0.219 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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