Isolated Type Immunoglobulin G4 Sclerosing Cholangitis: The Misdiagnosed Cholangiocarcinoma
Bibliographic record
Abstract
Immunoglobulin G4 sclerosing cholangitis (IgG4-SC), firstly described in 2004, is the biliary manifestation of a recently described multisystem immune-mediated disease known as IgG4-related disease. IgG4-SC is a unique and rare type of cholangitis of unknown etiology and its precise prevalence rate is still unclear. It is characterized by bile duct wall thickening and high levels of systemic serum IgG4 plasma cells. Differential diagnoses for IgG4-SC include benign (primary sclerosing cholangitis) as well as malignant (extra-hepatic cholangiocarcinoma) diseases. Discrimination between these entities is very important, due to the fact that they have different biological behaviors and different therapeutic strategies. The rare IgG4-SC subgroup with its puzzling manifestations carries a hefty diagnostic challenge for the treating physicians, and inaccurate diagnosis can lead to unnecessary morbid surgical procedures. With the paucity and relative weakness of available data in the current literature, one needs to carefully review all available parameters. A low threshold of suspicion is required to try and prevent missing IgG4-SC. IgG4-SC is highly responsive to steroid treatment, especially during the early inflammatory phase, while delay in management could lead to fibrosis and organ dysfunction. On the other hand, cholangiocarcinoma is treated by means of surgery and/or chemotherapeutic agents.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".