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Record W3133655629 · doi:10.1093/jcag/gwab002.157

A159 ANTI-TUMOR NECROSIS FACTOR THERAPY PERSISTENCE IN PATIENTS WITH PERIANAL CROHN’S DISEASE AND LUMINAL CROHN’S DISEASE: A COMPARATIVE COHORT STUDY

2021· article· en· W3133655629 on OpenAlexaff
Michael Fung Kee Fung, Kevin Chin Koon Siw, Jeffrey D. McCurdy

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineInfliximabAdalimumabDiscontinuationCohortCrohn's diseaseInternal medicineDiseasePersistence (discontinuity)Tumor necrosis factor alphaRetrospective cohort studyConcomitantNecrosisGastroenterologySurgery

Abstract

fetched live from OpenAlex

Abstract Background Anti-tumor necrosis factor therapy has revolutionized the management of Crohn’s disease. Despite its effectiveness, a substantial proportion of patients discontinue therapy over time. Evaluating drug persistence rates reveals a real-world pattern of biologic use. Perianal Crohn’s disease (PCD) is considered one of the most difficult phenotypes of Crohn’s disease (CD) to treat. Therefore, we hypothesized that patients with PCD have a shorter biologic persistence time due to refractory disease. Aims Our aim is to compare drug persistence rates of anti-TNF therapy between PCD and LCD patients. Methods We performed a retrospective, comparative cohort study at a tertiary care center between Nov 2019 and July 2020. Patients with CD were identified by our institutional data-base, using the ICD-10 code K50.90. A longitudinal chart review determine anti-TNF utilization and classified patients based on luminal CD only [LCD] or PCD. Patients with PCD were matched (1:1) to patients with LCD based on sex, age, and year of first anti-TNF initiation within 5 years. Time to discontinuation of anti-TNF therapy was estimated by Kaplan-Meier methods and compared between groups by Log-rank test. Results A total of 142 patients with PCD (55% male, 38.7 ± 13.7 years old at anti-TNF start) were matched to 142 patients with LCD (55% male, 38.7 ± 14.0 years old at anti-TNF start). The initial treatments included infliximab (67.6% vs. 57.7%) and adalimumab (32.4% vs. 42.3%) for patients with PCD and LCD respectively. Concomitant immunomodulator were used in 61.3% of patients with PCD and 54.9% of patients with LCD. The cumulative persistence of the initial anti-TNF therapy was similar between cohorts (Log rank, p = 0.633; Figure 1): mean time to discontinuation was 27.7 ± 26.8 months for patients with PCD and 26.5 ± 23.0 months for patients with LCD. The reasons for treatment discontinuation included: refractory disease (19% vs. 16%), anti-drug antibodies (6% vs. 12%), and side effects (12.7% vs. 16.2%) in patients PCD and LCD respectively. Of the patients who discontinued their first anti-TNF therapy, 36 patients (55.4%) with PCD and 42 patients (60.9%) with LCD were treated with a second anti-TNF therapy. Discontinuation of the second-line anti-TNF therapy occurred in 18 patients (50%) with PCD and 18 patients (42.9%) with LCD: mean time to discontinuation was 17.3 ± 14.3 months and 27.8 ± 28.8 months respectively. Conclusions In this single-center, observational study a substantial percentage of patients discontinue anti-TNF therapy overtime, and there does not appear to be a difference between patients with PCD and LCD. Funding Agencies None

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)0.002
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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
Published2021
Admission routes1
Has abstractyes

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