Evidence map›Paper›PMID 42775158›Full record

ArticleSage open chronic disease

Patterns and factors associated with dose escalation during maintenance treatment for inflammatory bowel disease: a population-based cohort study.

Dahye Ryu, Hyun Jin Han, Junghyun Na, Seoyeon Choi, Young Mi Park, Hae Sun Suh

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Article in Sage open chronic disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Dahye RyuDepartment of Regulatory Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-0565-9205
Hyun Jin HanDepartment of Regulatory Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-2760-2429
Junghyun NaDepartment of Regulatory Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0002-5875-1125
Seoyeon ChoiDepartment of Regulatory Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-6713-1409
Young Mi ParkDepartment of Regulatory Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-4321-6106
Hae Sun SuhDepartment of Regulatory Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-3445-6607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biologics and small-molecule therapies are commonly used for long-term maintenance in patients with inflammatory bowel disease (IBD), including Crohn's disease (CD) and ulcerative colitis (UC). Dose escalation is often required to maintain treatment response, but real-world data on its frequency and contributing factors are limited. Objectives: To evaluate patterns of dose escalation during maintenance treatment and identify patient- and treatment-related factors associated with dose escalation in IBD. Design: Retrospective, population-based cohort study. Methods: Using data from the Korean Health Insurance Review and Assessment Service (HIRA), we identified adults with CD or UC who initiated maintenance treatment with biologics or small-molecule agents between 2018 and 2022. Dose escalation was defined as two consecutive doses ⩾50% higher than the expected daily dose within 1 year of treatment initiation. Multivariable logistic regression was used to assess associated factors. Results: Among 2,186 patients with CD and 1,806 with UC, dose escalation occurred in 20.9% and 14.1%, respectively. In CD, ustekinumab had the highest escalation rate (69.1%), compared with infliximab (16.4%), adalimumab (21.2%), and vedolizumab (23.2%). For UC, adalimumab was most frequently escalated (21.8%), followed by tofacitinib (19.5%), ustekinumab (17.9%), and infliximab (10.0%). Steroid use, later lines of therapy (third- and fourth-line) were significantly associated with increased odds of dose escalation. Conclusion: Dose escalation is a common occurrence in IBD maintenance therapy, with substantial variation across treatment agents and patient profiles. These findings emphasize the importance of individualized treatment strategies to improve long-term disease control.

Indexed as

Crohn’s diseasedose escalationinflammatory bowel diseasemaintenance treatmenttreatment patternulcerative colitis

Identifiers

PMID42775158
PMCPMC13595317

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.