OP09 Long-term Colectomy rates of Ulcerative Colitis over 40-year of Different Therapeutic eras – Results from a Western Hungarian Population-based Inception Cohort between 1977–2020
Bibliographic record
Abstract
Abstract Background Few population-based studies have investigated the long-term colectomy rates of ulcerative colitis (UC). The present study is a continuation of the Veszprem IBD population based cohort with a follow-up of the incidence and disease course for over 40 years. We aimed to assess the colectomy rates over 40 years of different therapeutic eras in a prospective population-based inception cohort from Veszprem Province, Western Hungary. Methods Patient inclusion lasted between January1,1977 and December31, 2018. Patient follow-up ended December 31,2020. Both in-hospital and outpatient records were collected and comprehensively reviewed at diagnosis and during clinical follow-up. Disease extension was evaluated based on the Montreal classification. Colectomy rates and disease course were examined in three different eras based on the time of UC diagnosis; cohort-A(1977-1995),cohort-B(1996-2008), and cohort C(2009-2018). Results Data of 1,370 incident UC patients were analyzed (male/female: 702/668; median age at diagnosis: 37 years(y) [IQR: 26-51]), with a median of 17y (IQR 9-24) follow-up. Table 1. The overall colectomy rate was 76/1,370 patients during the total follow-up. The proportion of extensive colitis at diagnosis increased over time (24.2% / 24.3% / 34.9% in cohorts A/B/C; p=0.001). Overall immunosuppressive therapy exposure was increasing in the cohorts (11.3% / 20.9% / 34.4%; p<0.001), as well as the probability of biological therapy initiation within 5 years of diagnosis (0.0±0% / 3.3±0.7% / 13.9±1.8%; pLogRank<0.001). Figure 1. There was no significant difference in the cumulative probability of proximal disease progression from proctitis (E1) to left-sided colitis/extensive colitis (E2/E3) or from left-sided colitis (E2) to extensive colitis (E3) over time in cohorts A, B, and C (Long-rank=0.482). Figure 2. The cumulative probability of colectomy in the total population was 4.1±0.6% after 10 years, 6.3±0.8% after 20 years, and 8.8±1.2% after 30 years. There were no statistically significant differences in the cumulative probability of colectomies between cohorts A/B/C: 1.7±0.7% / 2.2±0.6% / 3.7±1.0% after 5 years; 3.5±1.0% / 3.9±0.8% / 4.5±1.2% after 10 years; and 6.9±1.4% / 5.3±1.0% (cohorts A/B) after 20 years [pLogRank=0.447]. Figure 3. Extensive disease (HR 2.3;95%CI 21.60-3.37) and continuous uncontrolled disease activity (HR 6.89;95%CI 4.15-11.46) were independent predictors for colectomy. Table 2. Conclusion No differences in proximal disease progression and colectomy rates have been observed in the incident UC patients over 40 years despite increasing use of immunomodulators and biological therapies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".