Primary Sclerosing Cholangitis Worsens Prognosis in Patients With Inflammatory Bowel Disease: A Propensity‐Matched Cohort Study
Bibliographic record
Abstract
BACKGROUND: Few data are available on the impact of primary sclerosing cholangitis (PSC) on inflammatory bowel disease (IBD). OBJECTIVE: We conducted a retrospective study using TriNetX to compare the outcomes of patients with IBD and those with concomitant IBD and PSC. METHODS: All patients with a confirmed diagnosis of Crohn's disease (CD), ulcerative colitis (UC), or indeterminate colitis with or without PSC were eligible. One-to-one propensity score matching was employed to balance demographic parameters, comorbid conditions, and IBD medications between cohort 1 (IBD) and cohort 2 (IBD and concomitant PSC). The primary endpoint was a composite endpoint including the risk of mortality, hospitalization, and surgery. Risks were expressed as Hazard Ratio (HR) with a 95% confidence interval (CI). RESULTS: A total of 398,980 IBD patients were analyzed (cohort 1: 395,874 and cohort 2: 3106). After propensity-score-matching, 3007 patients from each group were included (mean age 48.1 ± 19.4 years, female 40%, UC 75% CD 24.8%). Approximately 1%-2% of patients were treated with advanced therapies. Cohort 2 patients had a higher risk of experiencing the composite endpoint compared to cohort 1 group (HR:1.32, 95%CI:1.23-1.42). Similarly, a higher risk of hospitalization and mortality was identified in subjects with IBD and concomitant PSC (HR:1.32, 95% CI: 1.22-1.43 and HR: 1.69, 95%CI: 1.46-1.96). Both CD and UC patients with concomitant PSC had a higher risk of achieving the composite endpoint (HR: 1.18, 95%CI: 1.02-1.37 and HR: 1.29, 95%CI: 1.18-1.40). An increased risk of mortality and hospitalization was found both in patients with CD (HR: 2.16, 95%CI:1.58-2.95, and 1.20, 95%CI:1.03-1.41) and UC (HR: 1.87, 95%CI: 1.57-2.22 and HR: 1.27, 95%CI:1.16-1.40) and concomitant PSC. CONCLUSION: In this administrative study of patients with IBD and PSC, concomitant PSC was associated with an increased risk of mortality and hospitalization.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".