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Record W2913320621 · doi:10.1093/ecco-jcc/jjy222.685

P561 Impact of ustekinumab TDM on clinical practice: a multi-centre, prospective, cross-sectional observational trial—mUST-Decide

2019· article· en· W2913320621 on OpenAlexaffabout
Brian Bressler, Dorota Dajnowiec, Martin Williamson, K Karra, G Long-Long, Bernie D. Sattin, Waqqas Afif

Bibliographic record

VenueJournal of Crohn s and Colitis · 2019
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsMcGill UniversityUniversity of British Columbia
Fundersnot available
KeywordsUstekinumabObservational studyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Therapeutic drug monitoring (TDM) is an important part of the management of biologics used in the treatment of IBD. Current understanding of ustekinumab (UST) TDM is limited and its value in clinical practice is unknown. We hypothesised that addition of UST TDM to clinical practice would alter clinical decisions in the treatment of Crohn’s disease (CD). We enrolled 112 consecutive UST-treated CD patients across 11 sites in Canada from April 2017 to January 2018. HBI, CRP, baseline characteristics and clinical decisions were recorded for 110 subjects at the single study visit, faecal calprotectin (FCP) was performed (local lab, standard of care) and blood was drawn for TDM (Sanquin, UST RIA). TDM results were provided at the end of the study, and sites recorded a hypothetical clinical decision with UST TDM ± FCP. Congruency of the actual (D1) and hypothetical decisions (D2 (clinical + TDM), D3 (clinical +TDM and FCP)) were assessed using McNemars paired χ2 test. A four- member expert panel examined all cases (3 experts/case) and made decisions by majority consensus – all D1 first, then all D2, then all D3. Experts were provided with additional training on UST PK data and interpretation, but decisions were not protocolised. Patients enrolled in the study were highly refractory (90% aTNF exposed, median 16.2 years of CD) but 70% were in clinical remission (HBI <5). At a population level, no differences could be detected before and after the introduction of TDM alone (p = 1.0), or TDM + FCP (p = 0.86). However, at a patient level, 39% of D2 decisions changed and 50% of D3 changed (see table). Examining the expert panel decisions at a population level, no differences could be detected before and after the introduction of TDM alone (p = 0.16), while decisions with TDM + FCP were significantly different (p = 0.0006). At the patient level with TDM alone, 23% of individual decisions changed and 67% of decisions were different when incorporating TDM + FCP. No new safety signal was observed, no patient samples were positive for ADAb to UST. Table. Summary of clinical decisions at a population and patient level. At a population level, introduction of UST TDM into routine clinical practice did not significantly impact clinical decisions for clinicians or experts, but adding FCP significantly altered clinical decisions for experts, but not clinicians. The divergence in impact of TDM and FCP between clinicians vs. experts highlights a need for greater education. Further study to clarify the use and impact of these tests in a proactive setting is warranted.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.088
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.091
GPT teacher head0.451
Teacher spread0.360 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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