The Impact of Malignancy on the Risk of Venous Thromboembolism in Pregnant Women: A Systematic Review
Bibliographic record
Abstract
Background and Aims: Venous thromboembolism (VTE) is a distinct malignancy complication that raises the risk of demise in cancer patients by up to thrice. However, pregnant females have a 4-5 times greater chance of getting VTE than nonpregnant women. The current systematic review aimed to elucidate the impact of malignancy on the risk of VTE in pregnant females. Methods: We carried out a systematic search in multiple databases, including PubMed (Medline), Google Scholar, and Scopus, up to January 2023. Finally, 441 related articles were extracted from the databases. After screening the title, abstract, and full text, seven articles were included in the study. Results: Seven studies (six cohorts and one cross-sectional) with 58,854,195 pregnant females (22,396 cancer patients) were included. These studies were done in the United States of America, Canada, Brazil, and Denmark. All of the studies except one study demonstrated that cancer in pregnant patients increased the risk of deep vein thrombosis (DVT). The risk of VTE prevalence in pregnant females with a record of malignancy was significantly higher than in free cancer groups, and the highest aOR was correlated to myeloid leukemia. Conclusions: Evidence in this systematic review showed that pregnant women with malignancy are more susceptible to VTE and other coagulation disorders. Physicians and health policymakers should be of high vigilance to pregnancy-associated VTE, especially in women who have cancer.
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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 | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| 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".