The Efficacy and Safely of Anticoagulation for the Management of Gonadal Vein Thrombosis
Bibliographic record
Abstract
Background Gonadal vein thrombosis (GVT) is an uncommon condition that has been associated with different risk factors (e.g., post-partum period, cancer, recent pelvic surgery, etc.). The optimal management of GVT remains unclear. Anticoagulation therapy may help to mitigate the risk of thrombosis extension and recurrent venous thromboembolism (VTE) but may also be associated with bleeding complications.We sought to assess the efficacy and safety of anticoagulation therapy in patients with GVT. Methods A systematic search of MEDLINE, EMBASE and PubMed for randomized controlled trials and observational studies was performed . Studies with patients presenting with GVT defined as ovarian vein thrombosis or testicular vein thrombosis and reporting at least one of the desired outcomes were included in the analysis.The primary efficacy outcome was recurrent VTE, and the primary safety outcome was major bleeding episode. Secondary outcomes included clinically relevant non-major bleeding and overall mortality. Incidence rates of the outcomes were pooled using the random effects model and expressed as event per 100 patient-years with its associated 95% confidence intervals (CI) using R software. Results The search strategy identified 7084 article records. A total of 13 observational studies (1039 patients) with GVT met the inclusion criteria and were included in the analysis. Only one study reported the incidence of testicular vein thrombosis. Hence, 96% of the total patient population were females with ovarian vein thrombosis. Overall, the incidence rate per 100 patient-years for recurrent VTE was 3.60 (95% CI: 2.12-6.13; I-square 75%; Figure 1). A large majority of studies did not report if recurrent events occurred during or following discontinuation of anticoagulation. Similarly, most studies did not report on major or clinically relevant non-major bleeding events, or overall mortality preventing the possibility of conducting pooled analyses for these outcomes. Conclusion GVT seems to be associated with a relatively low risk of recurrent VTE. However, it remains unclear if anticoagulant therapy is associated with a favorable risk/benefit ratio. Future studies (e.g., registries, population-based studies) are needed to investigate the efficacy of anticoagulant and whether it outweighs the risk of bleeding in this patient population.
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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 | 0.016 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.006 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".