Predictors of the efficacy of vedolizumab in patients with ulcerative colitis. Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.18999/nagjms.86.3.407
Vedolizumab is a treatment option for ulcerative colitis but data on predictors of treatment response remain insufficient to establish personalized treatment strategies. We aimed to investigate the real-world effectiveness of vedolizumab in adult patients with ulcerative colitis and explore factors involved in predicting treatment response. This single-center, single-arm, prospective observational study included 26 patients with clinically active ulcerative colitis patients' characteristics at baseline, epidemiological information, existing treatment, clinical activity index score, endoscopic score, and blood test data were collected. Serum levels of tumor necrosis factors alpha, interferon gamma, interleukin-4, interleukin-6, interleukin-10, interleukin-17, soluble mucosal addressin cell adhesion molecule 1, and soluble vascular cell adhesion molecule 1 were measured. Patient characteristics in the remission and non-remission groups were compared based on these parameters. Clinical remission at 6 weeks of treatment occurred in 9 (35%) of the 26 patients. At 14 weeks, clinical remission was observed in 11 patients (42%). There were no significant differences pertaining to age, sex, duration of disease, extent of disease, steroid resistance, or prior treatment with biological agents among the two groups after 14 weeks of treatment. Hemoglobin ≥ 11.5 g/dL (odds ratio, 15.0; 95% confidence interval, 1.50-149; P=0.014) and soluble mucosal addressin cell adhesion molecule 1 ≥ 765 pg/mL (odds ratio, 17.3; 95% confidence interval, 2.36-127; P=0.004) were significant factors. In conclusion, hemoglobin and serum soluble mucosal addressin cell adhesion molecule 1 levels are factors correlated with the therapeutic efficacy of vedolizumab.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://pubmed.ncbi.nlm.nih.gov/39355361
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403084516Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18999/nagjms.86.3.407Digital Object Identifier
- Title
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Predictors of the efficacy of vedolizumab in patients with ulcerative colitis.Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-08-01Full publication date if available
- Authors
-
Go Kajikawa, Tsunaki Sawada, Masanao Nakamura, Takeshi Yamamura, Keiko Maeda, Eri Ishikawa, Kota Uetsuki, Takashi Hirose, Tadashi Iida, Yasuyuki Mizutani, Kentaro Yamao, Takuya Ishikawa, Kazuhiro Furukawa, Hiroki KawashimaList of authors in order
- Landing page
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https://pubmed.ncbi.nlm.nih.gov/39355361Publisher landing page
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/11439607Direct OA link when available
- Concepts
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Vedolizumab, Ulcerative colitis, Medicine, Internal medicine, Gastroenterology, DiseaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.non-remission | 114 |
| abstract_inverted_index.observational | 49 |
| abstract_inverted_index.interleukin-4, | 88 |
| abstract_inverted_index.interleukin-6, | 89 |
| abstract_inverted_index.single-center, | 46 |
| abstract_inverted_index.characteristics | 60, 109 |
| abstract_inverted_index.epidemiological | 63 |
| abstract_inverted_index.interleukin-10, | 90 |
| abstract_inverted_index.interleukin-17, | 91 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 14 |
| citation_normalized_percentile.value | 0.70213108 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |