Incidence, Prevalence, Disease Course, and Treatment Strategy of Crohn’s Disease Patients from the Veszprem Cohort, Western Hungary: A Population-based Inception Cohort Study Between 2007 and 2018
Bibliographic record
Abstract
BACKGROUND AND AIMS: The number of prospective population-based studies on Crohn's disease[CD] is still limited from Eastern Europe. The present study is a continuation of the Veszprem IBD cohort. Our aim was to analyse incidence, prevalence, disease phenotype, treatment strategy, disease course, and surgical outcomes in a prospective population-based inception cohort including CD patients diagnosed between 2007 and 2018. METHODS: A total of 421 consecutive inception patients were included [male/female:237/184; mean age at diagnosis: 33.3 ± 16.2years]. Both in-hospital and outpatient records were collected and comprehensively reviewed. Demographic data were derived from the Hungarian Central Statistical Office. RESULTS: Mean incidence rate was 9.9 [95% CI: 9.0-10.9]/105 person-years in this 12-year period. Prevalence rate was 236.8 [95% CI: 220.8-252.8] in 2015; 17.6% and 20.0% of the patients had stenosing[B2] and penetrating[B3] disease behavior at diagnosis,respectively. The probability of disease behaviour progression from luminal to B2/B3 phenotype was 14.7% (standard error [SE]: 2.2) at 5 years after diagnosis. Distribution of maximal therapeutic steps during the total follow-up (8.5 years [8.5y], standard deviation [SD]: 3.3) was 5-aminosalicylic acid [5-ASA] in 15.7%, corticosteroids in 14.3%, immunosuppressives in 42.5%, and biologic therapy in 26.2%. The probability of receiving biologictherapy after diagnosis was 20.9% [SE: 2.0] at 5 years. The probability of first resective surgery was 20.7% [SE: 2.0] at 1 year, 26.1% [SE: 2.2] at 5 years, and 30.7% [SE: 2.4] at 10 years. The perianal surgery rate was 31.3% among patients with perianal involvement. CONCLUSIONS: The incidence of CD in Hungary was high, similar to high-incidence areas in Western Europe. Treatment strategies are reflecting the biologic era. Disease behaviour progression was lower, as well as long-term [10y] surgery rates decreasing compared with data from previous decades.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".