Systematic review with meta‐analysis: risk factors for recurrent primary sclerosing cholangitis after liver transplantation
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: After liver transplantation primary sclerosing cholangitis (PSC), the condition returns in the transplanted liver in a subset of patients (recurrent primary sclerosing cholangitis, rPSC). AIM: To define risk factors for rPSC. METHODS: We searched Pubmed, Embase, Web of Science, and Cochrane library for articles published until March 2018. Studies addressing risk factors for developing rPSC were eligible for inclusion. A random effects meta-analysis was conducted using hazard ratios (HR) as effect measure. Study quality was evaluated with the Newcastle Ottawa scale. Statistical analysis was performed using Cochrane Review Manager. RESULTS: The electronic database search yielded 449 results. Twenty-one retrospective cohort studies met the inclusion criteria for the review; 14 were included in the meta-analysis. The final cohort included 2159 patients (age range 31-49 years, 68.8% male), of whom 17.7% developed rPSC. Colectomy before liver transplantation, HR 0.65 (95% CI: 0.42-0.99), cholangiocarcinoma before liver transplantation, HR 2.42 (95% CI: 1.20-4.86), inflammatory bowel disease, HR 1.73 (95% CI: 1.17-2.54), donor age, HR 1.24 (95% CI 1.0-1.45) per ten years, MELD score, HR 1.05 (95% CI: 1.02-1.08) per point and acute cellular rejection, HR of 1.94 (95% CI: 1.32-2.83) were associated with the risk of rPSC. CONCLUSIONS: Multiple risk factors for rPSC were identified. Colectomy before liver transplantation reduced the risk of rPSC.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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 it