P290 Long-term disease outcome of ulcerative colitis (UC) in South Ostrobothnia, Finland with a follow-up time of 25 years
Bibliographic record
Abstract
Abstract Background Finland has one of the highest prevalence of inflammatory bowel disease (IBD), especially UC. There is scarce data about long-term disease outcome in UC in population-based cohorts. The aim was to evaluate the long-term clinical outcome of patients with UC in the region of South Ostrobothnia, a district in rural central western Finland with a population of about 190 000. Methods All patients treated with diagnosis of UC or IBDU (inflammatory bowel disease Unclassified) during years 1981–2000 were included in this study. Data were collected retrospectively from the patient registry of the Central Hospital of South Ostrobothnia until 1 August 2019. Results There were 589 patients with a median follow-up time of 25 years. Median age at the diagnosis was 34 years. 59% of patients were male, 93% had UC and 7% IBDU. According to Montreal classification 80% had extensive disease, 15% left-sided disease and 5% proctitis. Medical treatment used at any point during the disease is shown in Table 1. Twenty-two per cent of patients had colectomy. Of operated patients, (pan)proctocolectomy with ileostomy was performed to 50%, IPAA (ileal pouch anal anastomosis) to 40% and IRA (ileorectal anastomosis) to 3%. Median time from the diagnosis to surgery was 11 years; the risk of surgery is shown in Table 2. Twenty-six per cent of the operations were emergency surgeries. The mean age at the time of surgery was 49 years. The indications for colectomy are specified in Table 3. Cumulative risk of colorectal cancer (CRC) and biliary tract cancer was 3.2% and 1.7%, respectively. Twenty-eight per cent of patients died during follow-up, at the mean age of 72 years. The cause of death was recorded for 91/167 and the most common causes were cardiovascular disease and malignancy. Conclusion In this population-based cohort with surveillance of 25 years 22% patients with UC or IBDU were operated. Even after becoming available, biological medication is rarely used for UC patients diagnosed in the prebiologic era.
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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 | 0.001 | 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".