Observational studyInternational journal of colorectal disease2019
Predictive parameters for the clinical course of Crohn's disease: development of a simple and reliable risk model.
Observational study in International journal of colorectal disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Prognostic biomarkers to identify patients likely to develop severe Crohn's disease: a systematic review.Health technology assessment (Winchester, England) · 2021Pooled it
- Current approaches to disease severity and therapy effectiveness assessment in patients with inflammatory bowel disease.World journal of gastrointestinal pharmacology and therapeutics · 2026Review
- Modifiable Factors Influencing Disease Flares in Inflammatory Bowel Disease: A Literature Overview of Lifestyle, Psychological, and Environmental Risk Factors.Journal of clinical medicine · 2025Review
- Variables associated with progression of moderate-to-severe Crohn's disease.BMJ open gastroenterology · 2022Article
- Apex Score: Predicting Flares in Small-Bowel Crohn's Disease After Mucosal Healing.Digestive diseases and sciences · 2022Article
- Clinical predictors for a complicated course of disease in an inception cohort of patients with ulcerative colitis: results from the prospective, observational EPICOL study.International journal of colorectal disease · 2022Observational
- Healing of rectal advancement flaps for anal fistulas in patients with and without Crohn's disease: a retrospective cohort analysis.BMC surgery · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
purposeThe aim of our study was to identify clinical parameters in recently diagnosed Crohn's disease (CD) patients for prediction of their disease course.
methodsEPIC (Early Predictive parameters of Immunosuppressive therapy in Crohn's disease) is a prospective, observational study in 341 patients with a recent CD diagnosis (≤ 6 months), and naïve to immunosuppressants (IS) and anti-tumor necrosis factor α (TNF) agents. Patient characteristics were documented up to 2 years. In line with national and international guidelines, a complicated disease course was defined as need for immunosuppressants and/or anti-TNF agents, and CD-related hospitalization with or without immunosuppressants and/or anti-TNF agents.
resultsA total of 212 CD patients were analyzed of whom 57 (27%) had an uncomplicated disease within 24 months, while 155 (73%) had a complicated disease course: need for IS and/or anti-TNF agents (N = 115), CD-related hospitalization with or without IS/anti-TNF agents (N = 40). Identified risk predictors for a complicated disease were as follows: age at onset < 40 years (OR 2.3; 95% CI 1.2-4.5), anemia (OR 2.1; 95% CI 1.1-4.2), and treatment with systemic corticosteroids at first flare (OR 2.2; 95% CI 1.1-4.7). These three parameters were used to develop a risk model allowing prediction of the future disease course.
conclusionOur three-parameter model enables an assessment of each CD patient's risk to develop a complicated disease course. Due to the easy accessibility of these parameters, this model can be utilized in daily clinical care to assist selecting the initial treatment for each individual patient.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.