Primary Sclerosing Cholangitis-Individual Patient International Meta-analysis of Biochemical and Clinical Predictors of Outcome
Bibliographic record
Abstract
PSC is an autoimmune disease of the biliary tracts that affects males more than females. Patients with PSC have a variable disease course. The disease hallmark is strictures and dilations involving the bile ducts with an increased risk of cholangiocarcinoma. PSC has a close association with IBD predominantly UC with a higher hazard of developing colon cancer. Risk stratification of PSC patients is crucial for patient education and to guide clinical decisions and transplant efforts. Multiple risk stratification strategies and models have been proposed. In this study, we sought to explore novel risk stratification strategies in addition to longitudinal risk stratification models to identify patients with progressive disease. ALP, TB, Albumin and platelets have a distinctive pattern and levels for patients with progressive disease and can identify them up to 10 years before experiencing death or transplant. Additionally, total bilirubin ULN can be used to discriminate high-risk patients.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.020 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".