ArticleScientific reports2025
Establishment and internal validation of a model to predict the efficacy of Adalimumab in Crohn's disease.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between TNF-α polymorphisms and responsiveness to TNF-α blockers in ankylosing spondylitis and psoriatic arthritis: a meta-analysis.Scientific reports · 2026Pooled it
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Authors and funding
8 authors.
Funding
Abstract
backgroundClinically, the ability to distinguish which Crohn's disease patients can benefit from Adalimumab is limited.
aimsThis study aimed to develop a model for predicting clinical remission probability for Crohn's disease patients with Adalimumab at 12 weeks. The model assists clinicians in identifying which Crohn's disease patients are likely to benefit from Adalimumab treatment before starting therapy, thus optimizing individualized treatment strategies.
methodsDemographic and clinical characteristics of Crohn's disease patients were utilized to develop a model for clinical remission probability. LASSO regression was used to select predictive factors, and predictions were made using a logistic regression model. The model was internally validated using the bootstrap method (resampling 1000 times).
results68 patients with Crohn's disease were enrolled in this study. Clinical remission was observed in 55.9% at 12 weeks. Three variables were selected through the least absolute shrinkage and selection operator regression method, including Adalimumab-positive cell count, disease duration, and neutrophil count of Crohn's disease patients. A predictive model was constructed by multivariate logistic regression (Adalimumab-positive cell count (OR, 1.143; 95%CI, 1.056-1.261), disease duration (OR, 0.967; 95%CI, 0.937-0.986), and neutrophil count (×10
conclusionsThis model provides a convenient tool to assess the likelihood of patient remission prior to Adalimumab treatment, thereby supporting the development of personalized treatment plans.
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