Prevalence of and Risk Factors for Venous Thromboembolism in Patients With Lymphoma: A Meta-Analysis
Bibliographic record
Abstract
PROBLEM IDENTIFICATION: The risk of venous thromboembolism (VTE) in patients with lymphoma may be overlooked because patients often experience thrombocytopenia from the disease or chemotherapy. A meta-analysis was conducted to identify the prevalence of and risk factors for VTE in patients with lymphoma. LITERATURE SEARCH: A systematic search of Embase®, Web of Science, PubMed®, and Cochrane Library databases was conducted to identify relevant studies investigating VTE in patients with lymphoma. DATA EVALUATION: The methodologic quality of the eligible observational studies was assessed using the Newcastle-Ottawa Scale. Stata, version 12.0, was used to perform the meta-analysis. SYNTHESIS: Female sex, older age, history of VTE, a diagnosis of diffuse large B-cell lymphoma, Ann Arbor stage III-IV disease, a higher performance status score, bulky disease, central nervous system involvement, a white blood cell count greater than 11 × 109/L, a D-dimer level greater than 0.5 mg/L, central venous catheterization, and treatment with doxorubicin were significant risk factors for VTE. IMPLICATIONS FOR PRACTICE: This meta-analysis identified risk factors for VTE, which may provide a theoretical foundation for clinical staff to conduct early assessment and identification of high-risk VTE groups, allowing for timely intervention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".