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Record W4391873279 · doi:10.1093/jcag/gwad061.231

A231 EFFECTIVENESS OF DUAL BIOLOGIC THERAPY IN PEDIATRIC INFLAMMATORY BOWEL DISEASE: A MULTICENTRE CANADIAN STUDY

2024· article· en· W4391873279 on OpenAlexaffabout
F. Díaz, Reza Belaghi, Thomas D. Walters, E Chea, David Friedland, Eytan Wine, Colette Deslandres, Hien Q. Huynh, Jennifer deBruyn, D Mack, Anthony Otley, Amanda Ricciuto, Eric I. Benchimol, Matthew Carroll, Peter Church, Nicholas Carman, Abdul Sattar Shaikh, A Griffiths

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsStollery Children's HospitalUniversité de MontréalUniversity of AlbertaDalhousie UniversitySickKids FoundationUniversity of TorontoUniversity of CalgaryChildren's Hospital of Eastern OntarioUniversity of Manitoba
Fundersnot available
KeywordsInflammatory bowel diseaseMedicineInflammatory Bowel DiseasesInternal medicineIntensive care medicineDisease

Abstract

fetched live from OpenAlex

Abstract Background The effectiveness of combining biologics for pediatric inflammatory bowel disease (IBD) is under-investigated. Aims To evaluate the effectiveness of dual biologic therapy in children with IBD. Methods Children and adolescents ampersand:003C 17 years old with IBD enrolled in the Canadian Children IBD Network (CIDsCANN) who received any biologic therapy were included. Patients were classified as cases if they received two biologics simultaneously, and controls if they were switched from one biologic to another. All cases and controls who met inclusion criteria were analyzed. Baseline demographic and disease-specific data were collected. The primary outcome was clinical activity indices at the end of the 1-year period following the start of dual biologic therapy or the switch to a different biologic. The Wilcoxon signed rank test (for continuous variables) and the Fisher exact test (for nominal variables) were used to compare demographic data. A multivariable Cox proportional hazard model was used to infer about disease activity reduction between the two groups. p ampersand:003C 0.05 was used to determine statistical significance. Results Twenty-six cases and 194 controls fulfilled the inclusion criteria. Demographic and disease-specific data are summarized in Table 1. The most common combination was ustekinumab with vedolizumab in 11 (42.3%) patients; while the most common first biologic in the control group was infliximab (104, 54.1%) and the second was ustekinumab (109, 56.2%). The most common indication for the biologic therapy addition or switch was unsatisfactory clinical response. No differences between cases and controls in reductions of disease activity indices were seen at the end of the 1-year period (Figure 1). Conclusions In children with IBD, dual biologic therapy was not more effective than switching from one biologic to another. We are currently investigating the safety of this approach. Baseline data Proportion of patients with 10- and 20-point reduction in clinical activity indices at the end of the 1-year period 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)0.003
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 score0.141
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.017
GPT teacher head0.300
Teacher spread0.283 · 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 routes2
Has abstractyes

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