State of the Art, Current Perspectives, and Controversies of Budd-Chiari Syndrome: A Review
Bibliographic record
Abstract
Background: Budd-Chiari syndrome (BCS) is an eponym that includes a group of conditions characterized by partial or complete hepatic venous tract outflow obstruction, and the site of obstruction may involve one or more hepatic veins, inferior vena cava, or the right atrium. The classification of BCS is based on etiology, site of obstruction, and duration. Its etiology is very heterogeneous; in particular, hepatic vein thrombosis is the most common type of obstruction and myeloproliferative disorder, the most common thrombophilic disorder, in the West. In Asian countries, the type of obstruction, thrombophilic disorders, clinical features, and treatment strategies vary widely from region to region. Although the cause can be identified in 90% of patients with the help of gene mutation testing, BCS remains under-recognized in many countries. A higher prevalence of acute cases has been reported in the West than in the East. This global and regional heterogeneity raises several challenges regarding the evaluation, management strategy, and individualized approach of BCS. This study aimed to conduct a systematic review of BCS to elucidate treatment strategy options. Methods: PubMed, Embase, Cochrane Library, and Google Scholar databases were searched systematically. Results: Sixty-nine pertinent articles were retrieved and included in the present study. Conclusions: Further research on the following three topics would help define individualized treatment strategies. The first is a better understanding of the molecular pathways underlying the thrombophilic conditions implicated in the pathogenesis of BCS. The second is the role of the genotype and gene mutations in the determination of coagulation status of patients with BCS. The third is the definition of clear criteria and development of a common prognostic index to risk stratify the patients at presentation and consequently detect candidates for invasive therapies.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.013 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".