A Rare Cause of Non Cirrhotic Variceal Bleeding: Stat1 Gene Mutation and ITP
Bibliographic record
Abstract
Background: The STAT family of transcription factors (signal transducers and activators of transcription) have been linked to the development of liver fibrosis. Cytokine activation of the JAK-STAT signaling pathway following liver injury leads to the deposition of collagen fibres and subsequent scarring. Case: A 21-year-old male with idiopathic thrombocytopenic purpura (ITP) known to be heterozygous for the T720I autosomal dominant STAT1 gene mutation presented to hospital with three episodes of frank hematemesis. A workup for liver disease was negative. Gastroscopy revealed four large prominent varices in the mid-distal esophagus protruding into the lumen. Liver ultrasound revealed several echogenic foci with vascularity; one anterior to the main portal vein 2.6 x 3.1 x 1.4 cm, and a second measuring 2cm in the posterior segment of the right lower lobe. Discussion: Given the patient's unique STAT1 gene mutation, and the lack of obvious cirrhosis, the consequence of STAT1 to the presenting condition may involve the development of abnormal vasculature. Interestingly, the patient previously presented with three episodes of subarachnoid hemorrhage and was diagnosed with CNS vasculitis, which was attributed to his STAT1 gene mutation. The echogenic vascular foci may have developed as a progressive manifestation of his particular STAT1 mutation, and caused abnormal portal pressures and esophageal varices. Studies have suggested roles for STAT1 in regulating vascular endothelial growth factor (VEGF) expression and in controlling smooth muscle cell differentiation in coronary artery smooth muscle cells. To our knowledge, there have been no reports documenting an association between esophageal varices and upper gastrointestinal bleeding to ITP or STAT gene mutations. The unique presentation of this case may be the result of an unusual STAT1 gene mutation concurrent with ITP.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".