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Record W4382502182 · doi:10.1080/1744666x.2023.2231148

Real-world experience with subcutaneous infliximab: broadening treatment strategies for inflammatory bowel disease

2023· review· en· W4382502182 on OpenAlexaff
Philip J Smith, Mathurin Fuméry, Rupert W. Leong, Kerri L. Novak, Axel Dignaß

Bibliographic record

VenueExpert Review of Clinical Immunology · 2023
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
FundersCelltrion Healthcare
KeywordsInfliximabMedicineInflammatory bowel diseaseDiseaseCrohn's diseaseImmunologyInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: The first subcutaneous (SC) formulation of infliximab (IFX), CT‑P13 SC, has been approved in Europe and Australia, including for the treatment of inflammatory bowel disease (IBD). AREAS COVERED: We provide a comprehensive overview of available clinical trial and real-world data for IFX SC treatment of IBD, focusing on the potential benefits of switching from IFX intravenous (IV) to IFX SC. We evaluate emerging evidence for IFX SC treatment for difficult-to-treat IBD, use as monotherapy, and suitability for patients receiving escalated IFX IV doses. Therapeutic drug monitoring approaches and patient and healthcare system perspectives on IFX SC are also discussed. EXPERT OPINION: IFX SC represents a significant treatment innovation in the tumor necrosis factor inhibitor class after approximately 20 years of IFX IV availability. Evidence suggests that IFX SC is well tolerated and is associated with high patient acceptance and satisfaction. In addition, effectiveness is maintained in patients with stable disease following switch from IFX IV. Switching may be advisable, given the clinical benefits of IFX SC and its potential to improve healthcare service capacity. There are several areas requiring further research, including the role of IFX SC in difficult-to-treat and refractory disease, and the feasibility of IFX SC monotherapy.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.437
Teacher spread0.371 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations10
Published2023
Admission routes1
Has abstractyes

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