IgG4-Associated Cholangitis - A Mimic of PSC
Bibliographic record
Abstract
IgG4-associated cholangitis (IAC) is an inflammatory disorder of the biliary tract representing a major manifestation of IgG4-related disease (IgG4-RD) often with elevation of serum IgG4 levels, infiltration of IgG4+ plasma cells in the affected tissue and good response to immunosuppressive treatment. Its first description may go back to 150 years ago. The clinical presentation of IAC is often misleading, mimicking other biliary diseases such as primary sclerosing cholangitis (PSC) or cholangiocarcinoma. The HISORt criteria--histopathological, imaging, and serological features (sIgG4), other organ manifestations of IgG4-RD and response to treatment--are the standard for the diagnosis of IAC. In this overview of a recent lecture, we summarize our original findings on IgG4-RD that (i) dominant IgG4+ B-cell clones identified by advanced next generation sequencing (NGS) are highly specific for IgG4-RD (meanwhile confirmed by others), are a highly accurate diagnostic marker to distinguish IgG4-RD from PSC and biliary/pancreatic malignancies and may be crucial in unravelling the pathophysiology of IgG4-RD; (ii) sIgG4/sIgG1 >0.24 have additional diagnostic value in comparison to sIgG4 in differentiating IAC from PSC; (iii) blood IgG4 mRNA is a highly accurate diagnostic marker comparable to NGS and may become an easily available and affordable diagnostic standard for distinguishing IgG4-RD from PSC and biliary/pancreatic malignancies; and (iv) 'blue collar work' with long-term exposure to solvents, paints, oil products or industrial gases may be a risk factor for development of IgG4-RD. These findings may contribute to the understanding of the pathophysiology and to the early diagnosis and adequate treatment of IgG4-RD.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 | 0.001 |
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".