The Role of Vascular Injury and Congestion in the Pathogenesis of Cirrhosis: the Congestive Escalator and the Parenchymal Extinction Sequence
Bibliographic record
Abstract
Abstract Purpose of Review Current research into the pathogenesis of cirrhosis is largely dominated by investigations of hepatocellular injury and fibrogenesis, mostly in short-term experimental models. Cirrhosis in the human evolves for decades with histologic features that are very different from the models studied, dominated by hepatic vein obstruction and congestion. This is a clue that the mechanisms operating in the human are different from those in most animal models. Recent Findings This paper presents an updated “vascular hypothesis” with previously unpublished observations that provide a more complete understanding of the pathogenesis of chronic liver disease in the human: (1) a definition of parenchymal extinction emphasizing the importance of sinusoidal destruction, (2) analysis of the temporal evolution of parenchymal extinction lesions, (3) new data to quantify hepatic vein obstruction, (4) a “congestive escalator” hypothesis to explain how vascular obstruction occurs, beginning with sinusoidal endothelial cell injury, fluid translocation, and vascular compression by mechanics known as “compartment syndrome,” (5) a “nested cone model” of hepatic vein anatomy that predisposes to compartment syndrome in the human, and (6) a proposal for the mechanism of collagen formation in response to congestion (“congestive fibrosis”). Summary The guiding principle in this model is that flow has to be vented to keep pressure gradients within the physiological range. Vascular obstruction causes tissue congestion which induces further vascular obstruction that drives a congestive escalator leading to progressive parenchymal extinction. This model may be applicable to all types of cirrhosis found in the human.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".