S1363 Outcomes of Thrombolysis and Thrombectomy in Malignancy-Induced Splanchnic Vein Thrombosis: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Introduction: Splanchnic vein thrombosis (SVT) is characterized by blood clot formation in the splanchnic venous system. In malignancy, SVT assumes particular clinical significance as cancer patients face a substantially elevated risk. Aggressive interventional approaches have been utilized, like catheter-directed thrombolysis and mechanical thrombectomy. To evaluate the efficacy, safety, and long-term outcomes of thrombolysis and thrombectomy interventions for managing malignancy-induced splanchnic vein thrombosis (SVT). Methods: An all-inclusive search was conducted via PubMed, Cochrane Library, Wiley Online Library, ScienceDirect, EBSCO Open Research, and Google Scholar for research articles on the outcomes of thrombolysis and thrombectomy interventions for managing malignancy-induced SVT. The potential articles were screened against prespecified eligibility criteria. The risk of bias in the eligible studies was then evaluated using the Newcastle Ottawa Scale (NOS). Data were then procedurally extracted and analyzed. Results: Twelve cohort studies were included in this analysis for 7822 patients. Thrombolysis/thrombectomy interventions significantly reduced portal vein thrombosis progression (RD -0.64, 95% CI: -0.79 to -0.50) and mortality (RR 0.23, 95% CI: 0.16 to 0.35, P < 0.00001) in malignancy-induced SVT compared to conventional management. While recanalization rates trended higher with interventional approaches (RR 7.72, 95% CI: 0.24 to 243.25), this finding was not statistically significant (P = 0.25) with considerable heterogeneity (I² = 93%). Intervention groups demonstrated significantly lower bleeding complications (RR 0.18, 95% CI: 0.09 to 0.36, P < 0.00001). Long-term outcomes varied by approach, with combined transjugular thrombectomy/thrombolysis achieving 88.2% secondary patency at 2-year follow-up. Conclusion: Thrombolysis/thrombectomy interventions offer significant benefits for malignancy-induced SVT, demonstrating reduced mortality and thrombosis progression compared to anticoagulation alone, with lower bleeding rates. However, technique-specific outcomes varied substantially, with mechanical and transjugular approaches showing promising durability.
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 | 0.012 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.034 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".