Evidence map›Paper›PMID 41752835›Full record

ArticleLife (Basel, Switzerland)2026

Prevalence, Clinical Characteristics, and Predictors of Difficult-to-Treat Inflammatory Bowel Disease in a Real-World Taiwanese Cohort.

Shun-Wen Hsiao, Pei-Yuan Su, Chen-Ta Yang, Yang-Yuan Chen, Hsu-Heng Yen

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

5 authors.

Shun-Wen HsiaoDivision of Gastroenterology, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500, Taiwan.ORCID 0000-0001-6166-9259
Pei-Yuan SuDivision of Gastroenterology, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500, Taiwan.ORCID 0000-0002-6860-1051
Chen-Ta YangDivision of Gastroenterology, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500, Taiwan.
Yang-Yuan ChenDivision of Gastroenterology, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500, Taiwan.ORCID 0000-0001-5936-7112
Hsu-Heng YenDivision of Gastroenterology, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500, Taiwan.ORCID 0000-0002-3494-2245

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A subset of patients with inflammatory bowel disease (IBD) remains refractory to treatment despite multiple lines of advanced therapies. These patients are often categorized as having difficult-to-treat (DTT) IBD. We retrospectively analyzed 354 patients with IBD (including 112 with Crohn's disease [CD] and 242 with ulcerative colitis [UC]) from a real-world cohort. Baseline demographic and disease characteristics, treatment history, and outcomes were compared between the DTT-IBD and non-DTT-IBD groups. Logistic regression analysis was performed to identify factors associated with DTT-IBD in CD and UC cohorts. Approximately 10.6% of the patients exposed to advanced therapy fulfilled the definition of DTT-IBD (CD: 9.8%, UC: 11.4%). Compared with patients with non-DTT-IBD, those with DTT-IBD exhibited a significantly higher exposure to multiple biologic classes, including antitumor necrosis factor (94.1% vs. 59.0%), anti-integrin (94.1% vs. 47.2%), anti-interleukin-12/23 (88.2% vs. 19.4%), and Janus kinase inhibitors (35.3% vs. 0.7%). The DTT-IBD group had a significantly lower clinical remission rate at the last follow-up than the non-DTT-IBD group (52.9% vs. 85.4%,

Indexed as

Crohn’s diseasedifficult to treatinflammatory bowel diseaseulcerative colitis

Identifiers

PMID41752835
PMCPMC12941535

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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.