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Record W7018637188

Dose Escalation Patterns and Associated Costs of Advanced Therapies for Ulcerative Colitis in France and the United Kingdom: A Retrospective Database Analysis

2025· article· en· W7018637188 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsUstekinumabVedolizumabUlcerative colitisInfliximabGolimumabTofacitinibMedical prescriptionRetrospective cohort study
DOInot available

Abstract

fetched live from OpenAlex

Tamás Treuer,1 Melissa Richards,1 Can Mert,2 Endip Dhesi,1 Lidia Silva,3 Yubo Tan,4 Sami Hoque5 1International Medical Affairs, Eli Lilly and Company, Indianapolis, IN, USA; 2Statistics, HaaPACS GmbH, Schriesheim, Germany; 3RWE, TFS HealthScience, Madrid, Spain; 4Biostatistics, TFS HealthScience, Toronto, Canada; 5Gastroenterology, Barts Health NHS Trust, London, UKCorrespondence: Tamás Treuer, Eli Lilly and Company, 893 Delaware Street, Indianapolis, IN, USA, Email treuer_tamas@lilly.comBackground: Dose escalation to optimize advanced therapies is common in ulcerative colitis (UC) to avoid intra-class or inter-class drug switching and maintain clinical response and has impact on costs. Given the limited real-world data available, this study aims to understand real-world dose escalation UC advanced therapies patterns in France and United Kingdom [UK].Methods: Retrospective study in adult patients with moderate-to-severe UC starting an advanced UC therapy (adalimumab [ADA], golimumab [GOL], infliximab [IFX], tofacitinib [TOF], ustekinumab [UST], or vedolizumab [VED]) with first prescription (and/or dispensation for France) between January 2017 and February 2022 (ie advanced UC therapy new users, by excluding patients who used any of these drugs in the previous 12 months to their index date). Proportions of patients with dose escalation/de-escalation (± 20% versus Summary of Product Characteristics) after maintenance date were estimated using Kaplan–Meier (KM) survival analyses. Clinical response, healthcare resource utilization (HRU) and direct costs related to UC were also analyzed.Results: Within 6 months after start of maintenance, rate of at least one dose escalation was 74.1%. Overall, 83.9– 89% of patients had dose escalation within the 12– 24 months, respectively, and 61.6% had clinical response [ranging from 56.3% (ADA) to 77.0% (IFX)]. Direct annual HRU costs related to UC ranged between 7426 (IFX) EUR and 22,265 (UST) in France, with mean 11,181 EUR in the dose-escalation group vs 8323 EUR in the de-escalation group (+11.5%). In the UK costs ranged between 5006 (ADA) EUR and 11,975 (UST).Conclusion: Dose escalation of UC advanced therapies is a common strategy to avoid treatment-switching. Despite dose escalations and their cost to the system, a proportion of patients fail to achieve clinical response. This study highlights the need for more efficacious, durable treatments for moderate-to-severe UC patients, as the initiation of the advanced therapies did not reduce overall systemic/rectal corticosteroid burden.Keywords: ulcerative colitis, dose escalation, biologics, economic cost, healthcare resource use (HRU)

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)0.003
metaresearch head score (Gemma)0.012
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 score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.006
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
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 head0.060
GPT teacher head0.464
Teacher spread0.403 · 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
Published2025
Admission routes1
Has abstractyes

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