Evidence map›Paper›PMID 40528082›Full record

ArticleDigestive diseases and sciences2025

Annual Infliximab Monitoring After Treatment Optimization.

Natsuki Ishida, Ken Sugimoto

Abstract read
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In one paragraph

Article in Digestive diseases and sciences, 2025. 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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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Natsuki IshidaFirst Department of Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-ku, Hamamatsu, Shizuoka, 431-3192, Japan. ma03006@hama-med.ac.jp.
Ken SugimotoFirst Department of Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-ku, Hamamatsu, Shizuoka, 431-3192, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infliximab (IFX), a TNF-α inhibitor, remains a key treatment for inflammatory bowel disease (IBD), including ulcerative colitis and Crohn's disease, despite the emergence of new therapies. However, treatment failure due to primary non-response or loss of response is common and often linked to low IFX trough levels (TLs) or anti-drug antibodies. Therapeutic drug monitoring (TDM) has thus become a valuable tool in optimizing IFX therapy. Frequent TDM, while beneficial, is not always practical due to cost and burden, making appropriate interval determination essential. Lim et al. conducted a longitudinal study of 228 IBD patients receiving IFX, performing TDM approximately every two months. They found that 85% of patients with TLs > 3 µg/mL at week 14 maintained therapeutic levels for over 13 months without pharmacokinetic (PK) relapse. Annual TDM may be sufficient for stable patients. Notably, drug antibodies were mostly detected after a drop in IFX levels, emphasizing the importance of preventing TL decline. The study had limitations, including limited analysis of immunomodulator use and generalizability due to regional treatment practices and patient population (predominantly Crohn's disease). Moreover, the relationship between PK relapse and clinical outcomes remains unclear. Overall, combining IFX TDM with clinical, endoscopic, and biomarker monitoring may enhance patient outcomes. Genetic and serologic markers, such as HLA-DQA1*05 and PR3-ANCA, may help predict treatment response. Despite newer options, IFX remains central in IBD therapy, and individualized TDM strategies can support more effective and patient-centered care.

Indexed as

Drug MonitoringGastrointestinal AgentsInflammatory Bowel DiseasesInfliximabCrohn DiseaseHumansTreatment OutcomeGastrointestinal AgentsInfliximab

Identifiers

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Registered trials

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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.