The Spectrum of Sclerosing Cholangitis and the Relevance of IgG4 Elevations in Routine Practice
Bibliographic record
Abstract
OBJECTIVES: American Association for the Study of Liver Diseases (AASLD) guidance recommends measurement of IgG4 in patients with sclerosing cholangitis (SC). The objective of this study was to evaluate this by analyzing our SC practice. METHODS: Characteristics were collected on 168 patients with radiological or biopsy proven SC; IgG4 was measured and magnetic resonance cholangiopancreatography studies were reviewed. RESULTS: In all, 49% of patients were females and 55% had inflammatory bowel disease. Large duct disease was present in 63%, small duct disease in 8%, overlap with AIH in 11%, and secondary SC in 18%. Secondary etiologies included autoimmune pancreatitis (AIP) (8%), intra-hepatic cholelithiasis (3%), portal vein thrombosis (2%), and neonatal Kasai (2%). In all, 101 patients had sufficient radiology and serology for re-evaluation. IgG4 was elevated (>104 mg/dl) in 22% of patients. This was associated with male gender (73%; P=0.016), a past history of pancreatitis (27% vs. 5%; P=0.007), a higher alkaline phosphatase (ALP) value, median 338.5 U/l vs. 160 (P=0.005), and a higher primary sclerosing cholangitis (PSC) Mayo risk score, mean 0.6 vs. -0.2 (P=0.0008). Prior biliary intervention was more likely (36 vs. 13%; P=0.023), while abnormal pancreatic imaging was noted in 15%, more frequently if IgG4 was elevated (40 vs. 8%; P=0.0007). After excluding those with pancreatic disease on magnetic resonance imaging, 14 patients had elevated IgG4. This group had higher ALP 379 U/l vs. 155.5 (P=0.0006), aspartate aminotransferase (AST) 72.5 U/l vs. 34 (P=0.0005), alanine aminotransferase (ALT) 90.5 U/l vs. 36 (P=0.004), and PSC Mayo risk score values 0.4 vs. -0.2 (P=0.017). CONCLUSIONS: SC is a heterogeneous liver injury. IgG4 testing may be clinically important in all patients, since it appears to identify a distinct patient population, more so than just those with AIP.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".